@skills · Category
Research & science agent skills
3,210 skills indexed; the 300 most-starred are listed here. Reference any of them in AdaL, Claude Code, Cursor or any coding agent — nothing to install. Search all research & science skills.
- openclaw-debugging · steipete · 385,400 stars
Debug OpenClaw model, provider, tool-surface, code-mode, streaming, and live/Crabbox behavior by choosing the right logs, probes, and proof path before cha
- tavily · steipete · 385,400 stars
Tavily web search, content extraction, and research tools.
- plan-update · facebook · 247,076 stars
Use when you need to update a plan document with deep research across all compiler passes. Launches parallel subagents to analyze how a topic affects every
- agent-eval · affaan-m · 238,342 stars
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when ch
- agent-eval · affaan-m · 238,342 stars
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when ch
- continuous-learning · affaan-m · 238,342 stars
[OBSOLETO - usar continuous-learning-v2] Extractor de skill por hook Stop v1 heredado. v2 es un superconjunto estricto con aprendizaje basado en instintos,
- continuous-learning-v2 · affaan-m · 238,342 stars
Hook'lar aracılığıyla oturumları gözlemleyen, güven skorlaması ile atomik instinct'ler oluşturan ve bunları skill/command/agent'lara evriltiren instinct ta
- continuous-learning-v2 · affaan-m · 238,342 stars
Sistema de aprendizaje basado en instintos que observa sesiones mediante hooks, crea instintos atómicos con puntuación de confianza y los evoluciona en ski
- continuous-learning-v2 · affaan-m · 238,342 stars
훅을 통해 세션을 관찰하고, 신뢰도 점수가 있는 원자적 본능을 생성하며, 이를 스킬/명령어/에이전트로 진화시키는 본능 기반 학습 시스템. v2.1에서는 프로젝트 간 오염을 방지하기 위한 프로젝트 범위 본능이 추가되었습니다.
- continuous-learning-v2 · affaan-m · 238,342 stars
Sistema de aprendizaje basado en instintos que observa sesiones mediante hooks, crea instintos atómicos con puntuación de confianza y los evoluciona en ski
- continuous-learning-v2 · affaan-m · 238,342 stars
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/ag
- continuous-learning-v2 · affaan-m · 238,342 stars
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/ag
- continuous-learning-v2 · affaan-m · 238,342 stars
Hook'lar aracılığıyla oturumları gözlemleyen, güven skorlaması ile atomik instinct'ler oluşturan ve bunları skill/command/agent'lara evriltiren instinct ta
- deep-research · affaan-m · 238,342 stars
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use wh
- deep-research · affaan-m · 238,342 stars
使用firecrawl和exa MCPs进行多源深度研究。搜索网络、综合发现并交付带有来源引用的报告。适用于用户希望对任何主题进行有证据和引用的彻底研究时。
- deep-research · affaan-m · 238,342 stars
コンテキスト深い研究を実施し、複雑なテーマについての権威ある答えを生成します。複数のソースをキュレート、相互参照、合成してコンテキスト内の完全な画像を構築します。
- deep-research · affaan-m · 238,342 stars
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use wh
- deep-research · affaan-m · 238,342 stars
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use wh
- deep-research · affaan-m · 238,342 stars
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use wh
- deep-research · affaan-m · 238,342 stars
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use wh
- deep-research · affaan-m · 238,342 stars
コンテキスト深い研究を実施し、複雑なテーマについての権威ある答えを生成します。複数のソースをキュレート、相互参照、合成してコンテキスト内の完全な画像を構築します。
- deep-research · affaan-m · 238,342 stars
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use wh
- deep-research · affaan-m · 238,342 stars
使用firecrawl和exa MCPs进行多源深度研究。搜索网络、综合发现并交付带有来源引用的报告。适用于用户希望对任何主题进行有证据和引用的彻底研究时。
- documentation-lookup · affaan-m · 238,342 stars
Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when
- documentation-lookup · affaan-m · 238,342 stars
Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when
- documentation-lookup · affaan-m · 238,342 stars
Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when
- exa-search · affaan-m · 238,342 stars
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-power
- exa-search · affaan-m · 238,342 stars
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-power
- exa-search · affaan-m · 238,342 stars
Exa MCPによるウェブ、コード、企業調査のためのニューラル検索。ユーザーがウェブ検索、コード例、企業情報、人物検索、またはExaのニューラル検索エンジンを使ったAI駆動の詳細調査を必要とする場合に使用します。
- exa-search · affaan-m · 238,342 stars
通过Exa MCP进行神经搜索，适用于网络、代码和公司研究。当用户需要网络搜索、代码示例、公司情报、人员查找，或使用Exa神经搜索引擎进行AI驱动的深度研究时使用。
- exa-search · affaan-m · 238,342 stars
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-power
- exa-search · affaan-m · 238,342 stars
Exa MCPによるウェブ、コード、企業調査のためのニューラル検索。ユーザーがウェブ検索、コード例、企業情報、人物検索、またはExaのニューラル検索エンジンを使ったAI駆動の詳細調査を必要とする場合に使用します。
- exa-search · affaan-m · 238,342 stars
通过Exa MCP进行神经搜索，适用于网络、代码和公司研究。当用户需要网络搜索、代码示例、公司情报、人员查找，或使用Exa神经搜索引擎进行AI驱动的深度研究时使用。
- exa-search · affaan-m · 238,342 stars
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-power
- gget · affaan-m · 238,342 stars
gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics
- gget · affaan-m · 238,342 stars
ゲノムデータベースへのクイック検索、配列検索、BLAST スタイルの検索、エンリッチメントチェック、および再現可能なバイオインフォマティクス証拠ログのための gget CLI および Python ワークフロー。
- gget · affaan-m · 238,342 stars
gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics
- gget · affaan-m · 238,342 stars
ゲノムデータベースへのクイック検索、配列検索、BLAST スタイルの検索、エンリッチメントチェック、および再現可能なバイオインフォマティクス証拠ログのための gget CLI および Python ワークフロー。
- healthcare-cdss-patterns · affaan-m · 238,342 stars
臨床意思決定支援システム（CDSS）パターン、医学的推論、およびエビデンスベースの実装。
- healthcare-cdss-patterns · affaan-m · 238,342 stars
Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity c
- healthcare-cdss-patterns · affaan-m · 238,342 stars
Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity c
- iterative-retrieval · affaan-m · 238,342 stars
サブエージェントのコンテキスト問題を解決するために、コンテキスト取得を段階的に洗練するパターン
- iterative-retrieval · affaan-m · 238,342 stars
サブエージェントのコンテキスト問題を解決するために、コンテキスト取得を段階的に洗練するパターン
- iterative-retrieval · affaan-m · 238,342 stars
Pattern for progressively refining context retrieval to solve the subagent context problem
- literature-review · affaan-m · 238,342 stars
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, c
- literature-review · affaan-m · 238,342 stars
学術、生物医学、技術、科学的なトピックに対するシステマティックな文献レビューワークフロー。検索計画、ソースのスクリーニング、統合、引用確認、証拠ログを含む。
- literature-review · affaan-m · 238,342 stars
学術、生物医学、技術、科学的なトピックに対するシステマティックな文献レビューワークフロー。検索計画、ソースのスクリーニング、統合、引用確認、証拠ログを含む。
- literature-review · affaan-m · 238,342 stars
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, c
- market-research · affaan-m · 238,342 stars
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. U
- market-research · affaan-m · 238,342 stars
日本語翻訳：このファイルは market-research 用の日本語翻訳が必要です
- market-research · affaan-m · 238,342 stars
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. U
- market-research · affaan-m · 238,342 stars
进行市场研究、竞争分析、投资者尽职调查和行业情报，附带来源归属和决策导向的摘要。适用于用户需要市场规模、竞争对手比较、基金研究、技术扫描或为商业决策提供信息的研究时。
- market-research · affaan-m · 238,342 stars
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. U
- market-research · affaan-m · 238,342 stars
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. U
- market-research · affaan-m · 238,342 stars
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. U
- market-research · affaan-m · 238,342 stars
进行市场研究、竞争分析、投资者尽职调查和行业情报，附带来源归属和决策导向的摘要。适用于用户需要市场规模、竞争对手比较、基金研究、技术扫描或为商业决策提供信息的研究时。
- market-research · affaan-m · 238,342 stars
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. U
- network-bgp-diagnostics · affaan-m · 238,342 stars
Diagnostics-only BGP troubleshooting patterns for neighbor state, route exchange, prefix policy, AS path inspection, and safe evidence collection. Use when
- network-bgp-diagnostics · affaan-m · 238,342 stars
Diagnostics-only BGP troubleshooting patterns for neighbor state, route exchange, prefix policy, AS path inspection, and safe evidence collection. Use when
- prediction-market-oracle-research · affaan-m · 238,342 stars
Research prediction markets as data sources or oracle signals for products, agents, dashboards, and corporate decision intelligence. Use for source-grounde
- prediction-market-oracle-research · affaan-m · 238,342 stars
Research prediction markets as data sources or oracle signals for products, agents, dashboards, and corporate decision intelligence. Use for source-grounde
- pubmed-database · affaan-m · 238,342 stars
生物医学文献、MeSH クエリ、PMID 検索、引用取得、および API を利用した文献モニタリングのための PubMed および NCBI E-utilities の直接検索ワークフロー。
- pubmed-database · affaan-m · 238,342 stars
Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature mon
- pubmed-database · affaan-m · 238,342 stars
生物医学文献、MeSH クエリ、PMID 検索、引用取得、および API を利用した文献モニタリングのための PubMed および NCBI E-utilities の直接検索ワークフロー。
- pubmed-database · affaan-m · 238,342 stars
Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature mon
- regex-vs-llm-structured-text · affaan-m · 238,342 stars
構造化テキストの解析に正規表現と大規模言語モデルのどちらを使うかを選択するための意思決定フレームワーク——まず正規表達式から始め、信頼度の低いエッジケースにのみ大規模言語モデルを追加する。
- regex-vs-llm-structured-text · affaan-m · 238,342 stars
选择在解析结构化文本时使用正则表达式还是大型语言模型的决策框架——从正则表达式开始，仅在低置信度的边缘情况下添加大型语言模型。
- regex-vs-llm-structured-text · affaan-m · 238,342 stars
構造化テキストの解析に正規表現と大規模言語モデルのどちらを使うかを選択するための意思決定フレームワーク——まず正規表達式から始め、信頼度の低いエッジケースにのみ大規模言語モデルを追加する。
- regex-vs-llm-structured-text · affaan-m · 238,342 stars
选择在解析结构化文本时使用正则表达式还是大型语言模型的决策框架——从正则表达式开始，仅在低置信度的边缘情况下添加大型语言模型。
- research-ops · affaan-m · 238,342 stars
Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from curren
- research-ops · affaan-m · 238,342 stars
以证据为先的ECC当前状态研究工作流程。当用户希望基于当前公开证据和提供的本地上下文获取最新事实、比较、丰富信息或建议时使用。
- research-ops · affaan-m · 238,342 stars
証拠優先のECC現状調査ワークフロー。ユーザーが現在の公開証拠と提供されたローカルコンテキストに基づいて最新の事実、比較、情報の充実、または推奨事項を求める場合に使用する。
- research-ops · affaan-m · 238,342 stars
証拠優先のECC現状調査ワークフロー。ユーザーが現在の公開証拠と提供されたローカルコンテキストに基づいて最新の事実、比較、情報の充実、または推奨事項を求める場合に使用する。
- research-ops · affaan-m · 238,342 stars
以证据为先的ECC当前状态研究工作流程。当用户希望基于当前公开证据和提供的本地上下文获取最新事实、比较、丰富信息或建议时使用。
- research-ops · affaan-m · 238,342 stars
Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from curren
- santa-method · affaan-m · 238,342 stars
収束ループを持つマルチエージェント敵対的検証。2つの独立したレビューエージェントが両方合格して初めて出力を出荷できます。
- scholar-evaluation · affaan-m · 238,342 stars
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing
- scholar-evaluation · affaan-m · 238,342 stars
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing
- scholar-evaluation · affaan-m · 238,342 stars
論文、提案書、文献レビュー、方法論セクション、証拠の質、引用サポート、研究論文フィードバックのための構造化された学術的作業評価。
- scholar-evaluation · affaan-m · 238,342 stars
論文、提案書、文献レビュー、方法論セクション、証拠の質、引用サポート、研究論文フィードバックのための構造化された学術的作業評価。
- search-first · affaan-m · 238,342 stars
コーディング前の調査ワークフロー。カスタムコードを書く前に既存のツール、ライブラリ、パターンを検索します。researcher エージェントを呼び出します。
- search-first · affaan-m · 238,342 stars
Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.
- search-first · affaan-m · 238,342 stars
Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.
- search-first · affaan-m · 238,342 stars
Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Systematizes the "search for existing solut
- search-first · affaan-m · 238,342 stars
コーディング前の調査ワークフロー。カスタムコードを書く前に既存のツール、ライブラリ、パターンを検索します。researcher エージェントを呼び出します。
- search-first · affaan-m · 238,342 stars
Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Systematizes the "search for existing solut
- arxiv · nousresearch · 226,679 stars
Search arXiv papers by keyword, author, category, or ID.
- axolotl · nousresearch · 226,679 stars
Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).
- bioinformatics · nousresearch · 226,679 stars
Gateway to 400+ genomics and computational biology skills.
- clip · nousresearch · 226,679 stars
Zero-shot image classification and image-text search.
- darwinian-evolver · nousresearch · 226,679 stars
Evolve prompts/regex/SQL/code with Imbue's evolution loop.
- drug-discovery · nousresearch · 226,679 stars
Drug discovery: ChEMBL search, drug-likeness, interactions.
- grounded-citations · nousresearch · 226,679 stars
Ground answers and documents in cited, verifiable sources.
- huggingface-tokenizers · nousresearch · 226,679 stars
Fast BPE/WordPiece tokenization and custom vocab training.
- llava · nousresearch · 226,679 stars
Vision-language chat: VQA, captioning, image dialogue.
- llm-wiki · nousresearch · 226,679 stars
Karpathy's LLM Wiki: build/query interlinked markdown KB.
- osint-investigation · nousresearch · 226,679 stars
Follow the money via public records and sanctions data.
- parallel-cli · nousresearch · 226,679 stars
Agent-native web search, deep research, and enrichment.
- pinecone-research · nousresearch · 226,679 stars
Agent RAG and long-term memory with Pinecone.
- saelens · nousresearch · 226,679 stars
Train sparse autoencoders to interpret model features.
- segment-anything-model · nousresearch · 226,679 stars
SAM: zero-shot image segmentation via points, boxes, masks.
- simpo · nousresearch · 226,679 stars
Reference-free preference alignment, simpler than DPO.
- slime · nousresearch · 226,679 stars
RL post-training for LLMs with Megatron and SGLang.
- trl-fine-tuning · nousresearch · 226,679 stars
TRL: SFT, DPO, GRPO, RLOO reward modeling for LLM RLHF.
- research · mattpocock · 207,363 stars
Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic research
- aoti-debug · pytorch · 102,253 stars
Debug AOTInductor (AOTI) errors and crashes. Use when encountering AOTI segfaults, device mismatch errors, constant loading failures, or runtime errors fro
- fix-issue · pytorch · 102,253 stars
Fix bugs reported in PyTorch GitHub issues by reproducing, root-causing, and implementing a fix in the local working tree. Use when the user asks to fix a
- pt2-bug-basher · pytorch · 102,253 stars
Debug PyTorch 2 compiler stack failures including Dynamo graph breaks, Inductor codegen errors, AOTAutograd crashes, and accuracy mismatches. Use when enco
- learn-codebase · thedotmack · 89,894 stars
Prime a codebase by reading every source file in full. Use when starting work on a new or unfamiliar project, or when the user asks to "learn the codebase"
- smart-explore · thedotmack · 89,894 stars
Token-optimized structural code search using tree-sitter AST parsing. Use instead of reading full files when you need to understand code structure, find fu
- deep-think-maximum-cognitive-effort-protocol-mq8kvw92 · nexu-io · 84,236 stars
Use this plugin when the user wants a maximum-effort reasoning workflow for a complex, high-stakes, or ambiguous task.
- fal-train · nexu-io · 84,236 stars
Train custom AI models (LoRA) on fal.ai for personalized image generation tailored to a brand, character, or style.
- fal-vision · nexu-io · 84,236 stars
Analyze images — segment objects, detect, run OCR, describe, and answer visual questions via fal.ai vision models.
- last30days · nexu-io · 84,236 stars
Recent community and social trend research over the last 30 days. Use when the brief asks what people are saying now, recent sentiment, community reactions
- last30days · nexu-io · 84,236 stars
Recent community and social trend research over the last 30 days. Use when the brief asks what people are saying now, recent sentiment, community reactions
- research-decision-room · nexu-io · 84,236 stars
Turn messy user research notes, interviews, support tickets, surveys, and product context into an evidence-backed decision room: a single HTML artifact wit
- x-research · nexu-io · 84,236 stars
X/Twitter public sentiment research for recent market, company, product, or community discourse. Use when the brief asks what people are saying on X, Twitt
- x-research · nexu-io · 84,236 stars
X/Twitter public sentiment research for recent market, company, product, or community discourse. Use when the brief asks what people are saying on X, Twitt
- model-bank-metadata · lobehub · 81,352 stars
Use for model knowledgeCutoff, family and generation metadata: onboarding, corrections, research and bulk backfills.
- model-bank-metadata · lobehub · 81,352 stars
Use for model knowledgeCutoff, family and generation metadata: onboarding, corrections, research and bulk backfills.
- academic-paper-review · bytedance · 79,444 stars
Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications.
- consulting-analysis · bytedance · 79,444 stars
Use this skill when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer in
- deep-research · bytedance · 79,444 stars
Use this skill instead of WebSearch for ANY question requiring web research. Trigger on queries like "what is X", "explain X", "compare X and Y", "research
- github-deep-research · bytedance · 79,444 stars
Conduct multi-round deep research on any GitHub Repo. Use when users request comprehensive analysis, timeline reconstruction, competitive analysis, or in-d
- systematic-literature-review · bytedance · 79,444 stars
Use this skill when the user wants a systematic literature review, survey, or synthesis across multiple academic papers on a topic. Also covers annotated b
- understand-chat · lum1104 · 77,791 stars
Use when you need to ask questions about a codebase or understand code using a knowledge graph
- understand-domain · lum1104 · 77,791 stars
Extract business domain knowledge from a codebase and generate an interactive domain flow graph. Works standalone (lightweight scan) or derives from an exi
- understand-explain · lum1104 · 77,791 stars
Use when you need a deep-dive explanation of a specific file, function, or module in the codebase
- understand-knowledge · lum1104 · 77,791 stars
Analyze a Karpathy-pattern LLM wiki knowledge base and generate an interactive knowledge graph with entity extraction, implicit relationships, and topic cl
- agent-reach · panniantong · 67,772 stars
MUST USE when user wants to 调研/research/搜索/search/查/找/look up anything on the internet — e.g. 全网调研 X / 帮我调研一下 X / 查一下 X / 搜搜 X / 看看大家怎么评价 X / X 上有什么讨论 / re
- ulw-research · code-yeongyu · 67,387 stars
Runs maximum-saturation research with a cooperating team, claim-graph gating, and a cited, QA'd deliverable. Use when the user explicitly asks for research
- ulw-research · code-yeongyu · 67,387 stars
Runs maximum-saturation research with a cooperating team, claim-graph gating, and a cited, QA'd deliverable. Use when the user explicitly asks for research
- context7-docs · upstash · 60,362 stars
Fetch up-to-date documentation and code examples for any library, framework, SDK, CLI tool, or cloud service. Use whenever the user asks about a specific l
- find-docs · upstash · 60,362 stars
Retrieves up-to-date documentation, API references, and code examples for any developer technology. Use this skill whenever the user asks about a specific
- last30days · mvanhorn · 57,531 stars
Research what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket,
- read-arxiv-paper · karpathy · 57,026 stars
Use this skill when asked to read an arxiv paper given an arxiv URL
- cli-hub-matrix-knowledge-research · hkuds · 46,739 stars
Capability-based multi-tool matrix for research, note-taking, document authoring, and publishing. Agents compose providers (CLI-Anything harnesses, public
- gitnexus-exploring · abhigyanpatwari · 45,147 stars
Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: \"Ho
- gitnexus-exploring · abhigyanpatwari · 45,147 stars
Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: \"Ho
- gitnexus-exploring · abhigyanpatwari · 45,147 stars
Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: \"Ho
- gitnexus-taint-analysis · abhigyanpatwari · 45,147 stars
Use when working on, reviewing, or extending GitNexus's CFG/taint/PDG subsystem (the `--pdg` layers), or when reasoning about source→sink data-flow finding
- gitnexus-taint-analysis · abhigyanpatwari · 45,147 stars
Use when working on, reviewing, or extending GitNexus's CFG/taint/PDG subsystem (the `--pdg` layers), or when reasoning about source→sink data-flow finding
- 20-andruia-niche-intelligence · sickn33 · 44,571 stars
Estratega de Inteligencia de Dominio de Andru.ia. Analiza el nicho específico de un proyecto para inyectar conocimientos, regulaciones y estándares únicos
- 20-andruia-niche-intelligence · sickn33 · 44,571 stars
Estratega de Inteligencia de Dominio de Andru.ia. Analiza el nicho específico de un proyecto para inyectar conocimientos, regulaciones y estándares únicos
- 20-andruia-niche-intelligence · sickn33 · 44,571 stars
Estratega de Inteligencia de Dominio de Andru.ia. Analiza el nicho específico de un proyecto para inyectar conocimientos, regulaciones y estándares únicos
- advanced-evaluation · sickn33 · 44,571 stars
This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias",
- advanced-evaluation · sickn33 · 44,571 stars
This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias",
- advanced-evaluation · sickn33 · 44,571 stars
This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias",
- advogado-criminal · sickn33 · 44,571 stars
Advogado criminalista especializado em Maria da Penha, violencia domestica, feminicidio, direito penal brasileiro, medidas protetivas, inquerito policial e
- advogado-criminal · sickn33 · 44,571 stars
Advogado criminalista especializado em Maria da Penha, violencia domestica, feminicidio, direito penal brasileiro, medidas protetivas, inquerito policial e
- advogado-criminal · sickn33 · 44,571 stars
Advogado criminalista especializado em Maria da Penha, violencia domestica, feminicidio, direito penal brasileiro, medidas protetivas, inquerito policial e
- agent-evaluation · sickn33 · 44,571 stars
Evaluate agent behavior with versioned cases and explicit verifiers. Use when comparing agent or prompt changes, reproducing failures, or running agent reg
- agent-evaluation · sickn33 · 44,571 stars
Evaluate agent behavior with versioned cases and explicit verifiers. Use when comparing agent or prompt changes, reproducing failures, or running agent reg
- agent-evaluation · sickn33 · 44,571 stars
Evaluate agent behavior with versioned cases and explicit verifiers. Use when comparing agent or prompt changes, reproducing failures, or running agent reg
- agent-evaluation · sickn33 · 44,571 stars
Evaluate agent behavior with versioned cases and explicit verifiers. Use when comparing agent or prompt changes, reproducing failures, or running agent reg
- agent-evaluation · sickn33 · 44,571 stars
Evaluate agent behavior with versioned cases and explicit verifiers. Use when comparing agent or prompt changes, reproducing failures, or running agent reg
- agent-evaluation · sickn33 · 44,571 stars
Evaluate agent behavior with versioned cases and explicit verifiers. Use when comparing agent or prompt changes, reproducing failures, or running agent reg
- agent-memory-systems · sickn33 · 44,571 stars
Memory is the cornerstone of intelligent agents. Without it, every
- agent-memory-systems · sickn33 · 44,571 stars
Memory is the cornerstone of intelligent agents. Without it, every
- agent-memory-systems · sickn33 · 44,571 stars
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-
- agent-memory-systems · sickn33 · 44,571 stars
Memory is the cornerstone of intelligent agents. Without it, every
- agent-orchestration-improve-agent · sickn33 · 44,571 stars
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
- agentfolio · sickn33 · 44,571 stars
Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
- agentfolio · sickn33 · 44,571 stars
Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
- agentfolio · sickn33 · 44,571 stars
Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
- ai-engineering-toolkit · sickn33 · 44,571 stars
6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (6
- ai-engineering-toolkit · sickn33 · 44,571 stars
6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (6
- astropy · sickn33 · 44,571 stars
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
- astropy · sickn33 · 44,571 stars
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
- astropy · sickn33 · 44,571 stars
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
- audit-context-building · sickn33 · 44,571 stars
Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding.
- audit-context-building · sickn33 · 44,571 stars
Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding.
- audit-context-building · sickn33 · 44,571 stars
Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding.
- auto-research · sickn33 · 44,571 stars
Research uncertain questions with an explicit, user-approved web search or ChatGPT consultation, then present options and wait for implementation approval.
- auto-research · sickn33 · 44,571 stars
Research uncertain questions with an explicit, user-approved web search or ChatGPT consultation, then present options and wait for implementation approval.
- auto-research · sickn33 · 44,571 stars
Research uncertain questions with an explicit, user-approved web search or ChatGPT consultation, then present options and wait for implementation approval.
- axiom · sickn33 · 44,571 stars
First-principles assumption auditor. Classifies each hidden assumption (fact / convention / belief / interest-driven), ranks by fragility × impact, and reb
- axiom · sickn33 · 44,571 stars
First-principles assumption auditor. Classifies each hidden assumption (fact / convention / belief / interest-driven), ranks by fragility × impact, and reb
- axiom · sickn33 · 44,571 stars
First-principles assumption auditor. Classifies each hidden assumption (fact / convention / belief / interest-driven), ranks by fragility × impact, and reb
- azure-ai-textanalytics-py · sickn33 · 44,571 stars
Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language
- azure-ai-textanalytics-py · sickn33 · 44,571 stars
Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language
- azure-ai-textanalytics-py · sickn33 · 44,571 stars
Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language
- backtesting-frameworks · sickn33 · 44,571 stars
Build robust, production-grade backtesting systems that avoid common pitfalls and produce reliable strategy performance estimates.
- backtesting-frameworks · sickn33 · 44,571 stars
Build robust, production-grade backtesting systems that avoid common pitfalls and produce reliable strategy performance estimates.
- backtesting-frameworks · sickn33 · 44,571 stars
Build robust, production-grade backtesting systems that avoid common pitfalls and produce reliable strategy performance estimates.
- bdi-mental-states · sickn33 · 44,571 stars
This skill should be used when the user asks to "model agent mental states", "implement BDI architecture", "create belief-desire-intention models", "transf
- bdi-mental-states · sickn33 · 44,571 stars
This skill should be used when the user asks to "model agent mental states", "implement BDI architecture", "create belief-desire-intention models", "transf
- bdi-mental-states · sickn33 · 44,571 stars
This skill should be used when the user asks to "model agent mental states", "implement BDI architecture", "create belief-desire-intention models", "transf
- bdistill-behavioral-xray · sickn33 · 44,571 stars
X-ray any AI model's behavioral patterns — refusal boundaries, hallucination tendencies, reasoning style, formatting defaults. No API key needed.
- bdistill-behavioral-xray · sickn33 · 44,571 stars
X-ray any AI model's behavioral patterns — refusal boundaries, hallucination tendencies, reasoning style, formatting defaults. No API key needed.
- bdistill-knowledge-extraction · sickn33 · 44,571 stars
Extract structured domain knowledge from AI models in-session or from local open-source models via Ollama. No API key needed.
- bdistill-knowledge-extraction · sickn33 · 44,571 stars
Extract structured domain knowledge from AI models in-session or from local open-source models via Ollama. No API key needed.
- bdistill-knowledge-extraction · sickn33 · 44,571 stars
Extract structured domain knowledge from AI models in-session or from local open-source models via Ollama. No API key needed.
- binary-analysis-patterns · sickn33 · 44,571 stars
Comprehensive patterns and techniques for analyzing compiled binaries, understanding assembly code, and reconstructing program logic.
- binary-analysis-patterns · sickn33 · 44,571 stars
Comprehensive patterns and techniques for analyzing compiled binaries, understanding assembly code, and reconstructing program logic.
- binary-analysis-patterns · sickn33 · 44,571 stars
Comprehensive patterns and techniques for analyzing compiled binaries, understanding assembly code, and reconstructing program logic.
- biopython · sickn33 · 44,571 stars
Biopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O
- biopython · sickn33 · 44,571 stars
Biopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O
- biopython · sickn33 · 44,571 stars
Biopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O
- bug-hunt-swarm · sickn33 · 44,571 stars
Parallel read-only multi-agent root-cause investigation for bugs, regressions, crashes, flaky behavior, or unexplained failures.
- bug-hunt-swarm · sickn33 · 44,571 stars
Parallel read-only multi-agent root-cause investigation for bugs, regressions, crashes, flaky behavior, or unexplained failures.
- bug-hunt-swarm · sickn33 · 44,571 stars
Parallel read-only multi-agent root-cause investigation for bugs, regressions, crashes, flaky behavior, or unexplained failures.
- c4-architecture-c4-architecture · sickn33 · 44,571 stars
Generate comprehensive C4 architecture documentation for an existing repository/codebase using a bottom-up analysis approach.
- c4-architecture-c4-architecture · sickn33 · 44,571 stars
Generate comprehensive C4 architecture documentation for an existing repository/codebase using a bottom-up analysis approach.
- c4-architecture-c4-architecture · sickn33 · 44,571 stars
Generate comprehensive C4 architecture documentation for an existing repository/codebase using a bottom-up analysis approach.
- cirq · sickn33 · 44,571 stars
Cirq is Google Quantum AI's open-source framework for designing, simulating, and running quantum circuits on quantum computers and simulators.
- cirq · sickn33 · 44,571 stars
Cirq is Google Quantum AI's open-source framework for designing, simulating, and running quantum circuits on quantum computers and simulators.
- cirq · sickn33 · 44,571 stars
Cirq is Google Quantum AI's open-source framework for designing, simulating, and running quantum circuits on quantum computers and simulators.
- citation-management · sickn33 · 44,571 stars
Manage citations systematically throughout the research and writing process.
- citation-management · sickn33 · 44,571 stars
Manage citations systematically throughout the research and writing process.
- citation-management · sickn33 · 44,571 stars
Manage citations systematically throughout the research and writing process.
- clarity-gate · sickn33 · 44,571 stars
Pre-ingestion verification for epistemic quality in RAG systems. Ensures documents are properly qualified before entering knowledge bases. Produces CGD (Cl
- clarity-gate · sickn33 · 44,571 stars
Pre-ingestion verification for epistemic quality in RAG systems. Ensures documents are properly qualified before entering knowledge bases. Produces CGD (Cl
- clarity-gate · sickn33 · 44,571 stars
Pre-ingestion verification for epistemic quality in RAG systems. Ensures documents are properly qualified before entering knowledge bases. Produces CGD (Cl
- claude-ally-health · sickn33 · 44,571 stars
A health assistant skill for medical information analysis, symptom tracking, and wellness guidance.
- claude-ally-health · sickn33 · 44,571 stars
A health assistant skill for medical information analysis, symptom tracking, and wellness guidance.
- claude-ally-health · sickn33 · 44,571 stars
A health assistant skill for medical information analysis, symptom tracking, and wellness guidance.
- claude-scientific-skills · sickn33 · 44,571 stars
Scientific research and analysis skills
- claude-scientific-skills · sickn33 · 44,571 stars
Scientific research and analysis skills
- claude-scientific-skills · sickn33 · 44,571 stars
Scientific research and analysis skills
- computer-vision-expert · sickn33 · 44,571 stars
SOTA Computer Vision Expert (2026). Specialized in YOLO26, Segment Anything 3 (SAM 3), Vision Language Models, and real-time spatial analysis.
- computer-vision-expert · sickn33 · 44,571 stars
SOTA Computer Vision Expert (2026). Specialized in YOLO26, Segment Anything 3 (SAM 3), Vision Language Models, and real-time spatial analysis.
- computer-vision-expert · sickn33 · 44,571 stars
SOTA Computer Vision Expert (2026). Specialized in YOLO26, Segment Anything 3 (SAM 3), Vision Language Models, and real-time spatial analysis.
- context-compression · sickn33 · 44,571 stars
When agent sessions generate millions of tokens of conversation history, compression becomes mandatory. The naive approach is aggressive compression to min
- context-compression · sickn33 · 44,571 stars
When agent sessions generate millions of tokens of conversation history, compression becomes mandatory. The naive approach is aggressive compression to min
- context-compression · sickn33 · 44,571 stars
When agent sessions generate millions of tokens of conversation history, compression becomes mandatory. The naive approach is aggressive compression to min
- context-degradation · sickn33 · 44,571 stars
Language models exhibit predictable degradation patterns as context length increases. Understanding these patterns is essential for diagnosing failures and
- context-degradation · sickn33 · 44,571 stars
Language models exhibit predictable degradation patterns as context length increases. Understanding these patterns is essential for diagnosing failures and
- context-degradation · sickn33 · 44,571 stars
Language models exhibit predictable degradation patterns as context length increases. Understanding these patterns is essential for diagnosing failures and
- context-fundamentals · sickn33 · 44,571 stars
Context is the complete state available to a language model at inference time. It includes everything the model can attend to when generating responses: sy
- context-fundamentals · sickn33 · 44,571 stars
Context is the complete state available to a language model at inference time. It includes everything the model can attend to when generating responses: sy
- context-fundamentals · sickn33 · 44,571 stars
Context is the complete state available to a language model at inference time. It includes everything the model can attend to when generating responses: sy
- context-management-context-restore · sickn33 · 44,571 stars
Use when working with context management context restore
- context-management-context-restore · sickn33 · 44,571 stars
Use when working with context management context restore
- context-management-context-restore · sickn33 · 44,571 stars
Use when working with context management context restore
- context-optimization · sickn33 · 44,571 stars
Context optimization extends the effective capacity of limited context windows through strategic compression, masking, caching, and partitioning. The goal
- context-optimization · sickn33 · 44,571 stars
Context optimization extends the effective capacity of limited context windows through strategic compression, masking, caching, and partitioning. The goal
- context-optimization · sickn33 · 44,571 stars
Context optimization extends the effective capacity of limited context windows through strategic compression, masking, caching, and partitioning. The goal
- context-window-management · sickn33 · 44,571 stars
Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot
- context-window-management · sickn33 · 44,571 stars
Strategies for managing LLM context windows including
- context-window-management · sickn33 · 44,571 stars
Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot
- context-window-management · sickn33 · 44,571 stars
Strategies for managing LLM context windows including
- context-window-management · sickn33 · 44,571 stars
Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot
- context-window-management · sickn33 · 44,571 stars
Strategies for managing LLM context windows including
- context7-auto-research · sickn33 · 44,571 stars
Automatically fetch latest library/framework documentation for Claude Code via Context7 API. Use when you need up-to-date documentation for libraries and f
- context7-auto-research · sickn33 · 44,571 stars
Automatically fetch latest library/framework documentation for Claude Code via Context7 API. Use when you need up-to-date documentation for libraries and f
- context7-auto-research · sickn33 · 44,571 stars
Automatically fetch latest library/framework documentation for Claude Code via Context7 API. Use when you need up-to-date documentation for libraries and f
- crossframe · sickn33 · 44,571 stars
Use when the user explicitly invokes CrossFrame or 跨尺度结构诊断 for Chinese-canonical structural diagnosis of complex relationships, organizations, institutions
- crossframe · sickn33 · 44,571 stars
Use when the user explicitly invokes CrossFrame or 跨尺度结构诊断 for Chinese-canonical structural diagnosis of complex relationships, organizations, institutions
- crossframe · sickn33 · 44,571 stars
Use when the user explicitly invokes CrossFrame or 跨尺度结构诊断 for Chinese-canonical structural diagnosis of complex relationships, organizations, institutions
- customer-research · sickn33 · 44,571 stars
When the user wants to conduct, analyze, or synthesize customer research.
- customer-research · sickn33 · 44,571 stars
When the user wants to conduct, analyze, or synthesize customer research.
- deep-research · sickn33 · 44,571 stars
Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.
- deep-research · sickn33 · 44,571 stars
Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.
- deep-research · sickn33 · 44,571 stars
Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.
- deepapi · sickn33 · 44,571 stars
Use DeepAPI for supported scraping, research, and email workflows with explicit credentials and approval.
- deepapi · sickn33 · 44,571 stars
Use DeepAPI for supported scraping, research, and email workflows with explicit credentials and approval.
- deepapi · sickn33 · 44,571 stars
Use DeepAPI for supported scraping, research, and email workflows with explicit credentials and approval.
- doc2math · sickn33 · 44,571 stars
Convert narrative technical documents into grounded Mathematical Problem Specifications with variables, constraints, objectives, and uncertainty.
- doc2math · sickn33 · 44,571 stars
Convert narrative technical documents into grounded Mathematical Problem Specifications with variables, constraints, objectives, and uncertainty.
- doc2math · sickn33 · 44,571 stars
Convert narrative technical documents into grounded Mathematical Problem Specifications with variables, constraints, objectives, and uncertainty.
- dwarf-expert · sickn33 · 44,571 stars
Provides expertise for analyzing DWARF debug files and understanding the DWARF debug format/standard (v3-v5). Triggers when understanding DWARF information
- dwarf-expert · sickn33 · 44,571 stars
Provides expertise for analyzing DWARF debug files and understanding the DWARF debug format/standard (v3-v5). Triggers when understanding DWARF information
- dwarf-expert · sickn33 · 44,571 stars
Provides expertise for analyzing DWARF debug files and understanding the DWARF debug format/standard (v3-v5). Triggers when understanding DWARF information
- efficient-web-research · sickn33 · 44,571 stars
Protocol for token-efficient web research. Use when accessing URLs, GitHub repos, or running search queries. Prevents full-page fetching waste.
- efficient-web-research · sickn33 · 44,571 stars
Protocol for token-efficient web research. Use when accessing URLs, GitHub repos, or running search queries. Prevents full-page fetching waste.
- ejentum-reasoning-harness · sickn33 · 44,571 stars
MCP server exposing four cognitive harness modes (reasoning, code, anti-deception, memory). Each call returns an engineered scaffold (failure pattern, proc
- embedding-strategies · sickn33 · 44,571 stars
Guide to selecting and optimizing embedding models for vector search applications.
- embedding-strategies · sickn33 · 44,571 stars
Guide to selecting and optimizing embedding models for vector search applications.
- embedding-strategies · sickn33 · 44,571 stars
Guide to selecting and optimizing embedding models for vector search applications.
- embedding-strategies · sickn33 · 44,571 stars
Guide to selecting and optimizing embedding models for vector search applications.
- evaluation · sickn33 · 44,571 stars
Build evaluation frameworks for agent systems. Use when testing agent performance systematically, validating context engineering choices, or measuring impr
- evaluation · sickn33 · 44,571 stars
Build evaluation frameworks for agent systems. Use when testing agent performance systematically, validating context engineering choices, or measuring impr
- exa-search · sickn33 · 44,571 stars
Semantic search, similar content discovery, and structured research using Exa API. Use when you need semantic/embeddings-based search, finding similar cont
- exa-search · sickn33 · 44,571 stars
Semantic search, similar content discovery, and structured research using Exa API. Use when you need semantic/embeddings-based search, finding similar cont
- exa-search · sickn33 · 44,571 stars
Semantic search, similar content discovery, and structured research using Exa API. Use when you need semantic/embeddings-based search, finding similar cont
- fact-check-x-complete · sickn33 · 44,571 stars
Compare claims from one or more AI answers, verify their citations against public primary sources, and produce an evidence-linked fact-check report without
- fact-check-x-complete · sickn33 · 44,571 stars
Compare claims from one or more AI answers, verify their citations against public primary sources, and produce an evidence-linked fact-check report without
- fact-check-x-complete · sickn33 · 44,571 stars
Compare claims from one or more AI answers, verify their citations against public primary sources, and produce an evidence-linked fact-check report without
- family-health-analyzer · sickn33 · 44,571 stars
分析家族病史、评估遗传风险、识别家庭健康模式、提供个性化预防建议
- family-health-analyzer · sickn33 · 44,571 stars
分析家族病史、评估遗传风险、识别家庭健康模式、提供个性化预防建议
- family-health-analyzer · sickn33 · 44,571 stars
分析家族病史、评估遗传风险、识别家庭健康模式、提供个性化预防建议
- fda-food-safety-auditor · sickn33 · 44,571 stars
Expert AI auditor for FDA Food Safety (FSMA), HACCP, and PCQI compliance. Reviews food facility records and preventive controls.
- fda-food-safety-auditor · sickn33 · 44,571 stars
Expert AI auditor for FDA Food Safety (FSMA), HACCP, and PCQI compliance. Reviews food facility records and preventive controls.
- fda-food-safety-auditor · sickn33 · 44,571 stars
Expert AI auditor for FDA Food Safety (FSMA), HACCP, and PCQI compliance. Reviews food facility records and preventive controls.
- fda-medtech-compliance-auditor · sickn33 · 44,571 stars
Expert AI auditor for Medical Device (SaMD) compliance, IEC 62304, and 21 CFR Part 820. Reviews DHFs, technical files, and software validation.
- fda-medtech-compliance-auditor · sickn33 · 44,571 stars
Expert AI auditor for Medical Device (SaMD) compliance, IEC 62304, and 21 CFR Part 820. Reviews DHFs, technical files, and software validation.
- fda-medtech-compliance-auditor · sickn33 · 44,571 stars
Expert AI auditor for Medical Device (SaMD) compliance, IEC 62304, and 21 CFR Part 820. Reviews DHFs, technical files, and software validation.
- gemini-deep-research · sickn33 · 44,571 stars
Run autonomous multi-step research with Google's Gemini Deep Research Agent: kick off a query, poll progress, and collect a cited report for market analysi
- geoffrey-hinton · sickn33 · 44,571 stars
Agente que simula Geoffrey Hinton — Godfather of Deep Learning, Prêmio Turing 2018, criador do backpropagation e das Deep Belief Networks.
- geoffrey-hinton · sickn33 · 44,571 stars
Agente que simula Geoffrey Hinton — Godfather of Deep Learning, Prêmio Turing 2018, criador do backpropagation e das Deep Belief Networks.
- geoffrey-hinton · sickn33 · 44,571 stars
Agente que simula Geoffrey Hinton — Godfather of Deep Learning, Prêmio Turing 2018, criador do backpropagation e das Deep Belief Networks.
- go-in-depth · sickn33 · 44,571 stars
Go in depth harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.
- go-in-depth · sickn33 · 44,571 stars
Go in depth harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.
- go-in-depth · sickn33 · 44,571 stars
Go in depth harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.
- hugging-face-community-evals · sickn33 · 44,571 stars
Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing betw
- hugging-face-paper-publisher · sickn33 · 44,571 stars
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generati
- hugging-face-paper-publisher · sickn33 · 44,571 stars
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generati
- hugging-face-paper-publisher · sickn33 · 44,571 stars
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generati
- hugging-face-papers · sickn33 · 44,571 stars
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Githu