Agent skill · research science · k-dense-ai
research-lookup
Compile current scholarly evidence for a scientific manuscript or research brief. Use when the user explicitly asks to gather literature, references, background evidence, competing findings, or a manuscript research packet. Uses Parallel Search by default, Parallel Extract for source verification, Parallel Research for explicitly deep/exhaustive work, optional explicit Parallel Chat, and optional Perplexity only when requested or allowed as a failure fallback.
Why this skill is useful
Adds a structured workflow for compiling and verifying academic references, including integration with multiple research APIs.
What it needs
Requires parallel-cli installed locally. Requires openrouter.ai, parallel.ai account access. About 8k tokens when loaded. Last updated 2026-08-03. 32,849 stars on the source repository.
What this skill does
Research Lookup Compile the external evidence needed to plan and write a high-quality scientific manuscript. The default academic workflow targets 60 verified, unique references and produces a manuscript-ready research packet rather than a loose list of links. Scope and boundaries Use this skill when the user explicitly wants: literature and background research for a manuscript many high-quality academic references evidence supporting or contradicting a scientific claim a structured evidence matrix or claim-to-source map current studies, methods precedent, mechanisms, limitations, or research gaps Do not activate it for casual factual questions that do not need research, private or unpublished material, or a claim that can be answered from user-provided files. Query text is sent to Parallel. It is sent to OpenRouter only when Perplexity is explicitly selected or the user enables that fallback. This skill compiles external evidence. It cannot supply the user's unpublished study data, decide what their Results show, or guarantee systematic-review completeness. For a PRISMA-style systematic review, use literature-review for protocols, database-specific searching, screening, exclusion reasons, and risk of bias. Parallel-first routing Need Backend Selection --- --- --- Manuscript literature and references Parallel Search + Extract Default; use --academic Fast bounded web lookup Parallel Search Use --no-academic Deep/exhaustive multi-source report Parallel Research Explicit --force-backend research OpenAI-compatible synthesis with research basis Parallel Chat Explicit --force-backend chat Optional alternative academic search Perplexity via OpenRouter Explicit or enabled failure fallback Important compatibility behavior: A bare script query uses Parallel Search. Chat Completions remains available only through explicit backend selection. --force-backend parallel remains an alias for explicit Parallel Research. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills k-dense-ai/research-lookup