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.
npx skills add K-Dense-AI/claude-scientific-writer --skill research-lookup --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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limitations, or research gaps Do not activate it for casual factual questions that do not need research, private or unpublished material, or a claim that can be answered from user-provided files.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 It cannot supply the user's unpublished study data, decide what their Results show, or guarantee systematic-review completeness.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 searchi
- Scope and boundaries
- Parallel-first routing
- Recommended manuscript workflow
- 1. Capture manuscript context
- 2. Run the academic evidence pipeline
- 3. Verify promising sources with Parallel Extract
- 4. Review the manuscript research packet
- 5. Use evidence in the manuscript safely
- Reference quality rules
- Explicit deep research
- Explicit Parallel Chat
- Optional Perplexity fallback
- Fast bounded lookup
- Batch mode
python skills/research-lookup/scripts/research_lookup.py \ Explicit provider Permit fallback only if Parallel fails parallel-cli --version parallel-cli auth uv tool install "parallel-web-tools[cli]==0.7.1" parallel-cli login
What does the research-lookup skill do?
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.
How do I install it?
Run `npx skills add K-Dense-AI/claude-scientific-writer --skill research-lookup --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From K-Dense-AI/claude-scientific-writer, a repository with 2,169 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.