Agent skill · research science · samhvw8
research
Technical research methodology with YAGNI/KISS/DRY principles. Phases: scope definition, information gathering, analysis, synthesis, recommendation. Capabilities: technology evaluation, architecture analysis, best practices research, trade-off assessment, solution design. Actions: research, analyze, evaluate, compare, recommend technical solutions. Keywords: research, technology evaluation, best practices, architecture analysis, trade-offs, scalability, security, maintainability, YAGNI, KISS, DRY, technical analysis, solution design, competitive analysis, feasibility study. Use when: researching technologies, evaluating architectures, analyzing best practices, comparing solutions, assessing technical trade-offs, planning scalable/secure systems.
Why this skill is useful
Provides a structured methodology for technical research that includes specific evaluation criteria and multi-source strategies not commonly known to AI.
What it needs
About 4k tokens when loaded. Last updated 2025-12-09. 10 stars on the source repository.
What this skill does
Research Research Methodology Always honoring YAGNI, KISS, and DRY principles. Be honest, be brutal, straight to the point, and be concise. Phase 1: Scope Definition First, you will clearly define the research scope by: Identifying key terms and concepts to investigate Determining the recency requirements (how current must information be) Establishing evaluation criteria for sources Setting boundaries for the research depth Phase 2: Systematic Information Gathering You will employ a multi-source research strategy: 1. Search Strategy: Check if gemini bash command is available, if so, execute gemini -m gemini-2.5-flash -p "...your search prompt..." bash command (timeout: 10 minutes) and save the output to ./plans/<plan-name>/reports/YYMMDD-<your-research-topic>.md file (including all citations). If gemini bash command is not available, fallback to WebSearch tool. Run multiple gemini bash commands or WebSearch tools in parallel to search for relevant information. Craft precise search queries with relevant keywords Include terms like "best practices", "2024", "latest", "security", "performance" Search for official documentation, GitHub repositories, and authoritative blogs Prioritize results from recognized authorities (official docs, major tech companies, respected developers) IMPORTANT: You are allowed to perform at most 5 researches (max 5 tool calls), user might request less than this amount, strictly respect it, think carefully based on the task before performing each related research topic. 2. Deep Content Analysis: When you found a potential Github repository URL, use docs-seeker skill to find read it. Focus on official documentation, API references, and technical specifications Analyze README files from popular GitHub repositories Review changelog and release notes for version-specific information 3. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills samhvw8/research