researcher
Skill461 starsChanged 8 months agoMITView on GitHub
Research current topics with multiple sources and produce a structured brief, comparison, recommendation, or fact-check. Use when the user asks for investigation, market/product landscape scans, option evaluation, due diligence, source-backed validation, or a research report. Do not use for summarizing a single provided URL/document, or for GitHub issue/PR operations.
40 other projects use a version of this.
Adopted by
Most recently taken up by
- Jakeschincariol/closer-skilltheir own version, first seen Nov 8, 2026
- natgalla/context-historiantheir own version, first seen Nov 6, 2026
- AhmedAbdelfattah0/AI-Skillstheir own version, first seen Nov 4, 2026
- AlekseiUL/heisenberg-team-GPTtheir own version, first seen Nov 1, 2026
- AlekseiUL/heisenberg-teamtheir own version, first seen Nov 1, 2026
- Mazalucas/El-DT-Lightweight-Armytheir own version, first seen Oct 26, 2026
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Other versions40 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 40
- keli-wen/agy-staff★ 828same name
- bitwize-music-studio/claude-ai-music-skills★ 589same name
- krzysztofdudek/ResearcherSkill★ 269same name
- antonbabenko/deliberation★ 181same name
- svy04/ballast★ 73same name
- timscheuerai/content-vault★ 38same name
- Jakeschincariol/closer-skill★ 33same name
- AlekseiUL/heisenberg-team★ 17same name
- maher-naija-pro/claude-researcher★ 13same name
- calven-ai/marketing-as-code★ 10same name
30 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
Show its rules and text
We split this skill into the rules it gives an agent
21 rules. 0 are common, 19 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 36 edited versions we read keep these.
19
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 15
Use this skill for bounded, source-backed research.
- Distinctive: line 17
Default goal: turn an open-ended question into a concise research output with explicit evidence, tradeoffs, and uncertainty.
- Distinctive: line 21
Use this skill when the user wants any of:
- Distinctive: line 29
Do not use this skill for:
- Distinctive: line 37
Prefer current sources over memory.
- Very specific: line 47
If the user asks for a persistent artifact, write a Markdown report under research/ with a short kebab-case filename that matches the topic.
- Distinctive: line 51
Follow these phases in order.
- Distinctive: line 55
Before searching, extract or infer:
- Distinctive: line 61
If one missing detail would materially change the answer, ask a short clarifying question.
- Distinctive: line 76
Start with a tight first pass:
- Distinctive: line 82
Avoid aimless searching. Stop when additional searches are no longer changing the answer.
- Distinctive: line 93
Use secondary summaries only to discover leads, not as the sole basis for important conclusions.
- Distinctive: line 100
look for disagreement or missing context
- Distinctive: line 103
Call out any inference you are making from the evidence instead of presenting it as a confirmed fact.
- Distinctive: line 107
Keep the final answer structured and useful.
- Distinctive: line 119
Use this shape by default:
- Very specific: line 149
Prefer web_search to discover candidates, web_fetch to read exact page contents, and pdf when a primary source is a PDF.
- Distinctive: line 151
Use the browser only when a relevant source requires interactive navigation, login, or a page state that the normal web tools cannot reach.
- Distinctive: line 155
Do not end with a pile of links.
- Distinctive: line 157
Do not present stale or weakly supported claims as settled.
- Distinctive: line 159
Do not hide uncertainty. If the evidence is thin, say so clearly and narrow the recommendation.
“Common” is measured: kept by at least 6 in 10 of the 36 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Researcher
Use this skill for bounded, source-backed research.
Default goal: turn an open-ended question into a concise research output with explicit evidence, tradeoffs, and uncertainty.
When to use
Use this skill when the user wants any of:
- a comparison of products, vendors, tools, APIs, papers, or approaches
- a market or ecosystem landscape scan
- due diligence on a company, category, or technical option
- fact-checking or claim validation with citations
- a structured research brief, memo, or recommendation
Do not use this skill for:
- summarizing one URL, one article, one video, or one local file; use the more specific summarize flow instead
- GitHub issue, PR, release, or CI workflows; use the GitHub-specific skills instead
- purely internal codebase exploration with no web research component
Working style
Prefer current sources over memory. Use a small search budget first, then expand only if the evidence is weak or conflicting.
Unless the user already gave a narrow format, produce:
- Research goal
- Short answer or recommendation
- Comparison or findings
- Risks, caveats, and unknowns
- Sources
If the user asks for a persistent artifact, write a Markdown report under research/ with a short kebab-case filename that matches the topic.
Workflow
Follow these phases in order.
1. Frame the question
Before searching, extract or infer:
- the decision to be made
- the comparison axes or success criteria
- any hard constraints such as budget, platform, geography, or timeline
If one missing detail would materially change the answer, ask a short clarifying question. Otherwise proceed with a stated assumption.
2. Make a research plan
Break the work into 3-7 subquestions. Keep them concrete and decision-relevant.
Examples:
- What options belong in scope?
- What are the meaningful differences?
- What evidence is primary vs secondary?
- What risks or hidden costs matter?
3. Use a bounded search budget
Start with a tight first pass:
- 2-4 targeted searches to map the space
- fetch the strongest candidate sources
- expand only if the first pass is incomplete, outdated, or contradictory
Avoid aimless searching. Stop when additional searches are no longer changing the answer.
4. Prefer stronger evidence
When possible, prioritize:
- official product or vendor documentation
- original papers, specs, standards, or release notes
- first-party pricing or policy pages
- reputable primary reporting or direct statements
Use secondary summaries only to discover leads, not as the sole basis for important conclusions.
5. Compare and validate
For each important claim:
- note which source supports it
- look for disagreement or missing context
- cross-check high-impact claims with at least two independent sources when feasible
Call out any inference you are making from the evidence instead of presenting it as a confirmed fact.
6. Produce a decision-ready output
Keep the final answer structured and useful. Include:
- the answer up front
- a short comparison table or bullets when multiple options are involved
- the strongest evidence and why it matters
- explicit uncertainty, recency limits, and open questions
- source links or source identifiers
Output templates
Comparison / recommendation
Use this shape by default:
- Recommendation
- Why it wins
- Alternatives considered
- Key risks or tradeoffs
- Sources
Fact-check / validation
Use this shape:
- Verdict: supported / mixed / unsupported / unclear
- What the evidence says
- What remains uncertain
- Sources
Landscape scan
Use this shape:
- Category snapshot
- Main players or approaches
- How they differ
- Notable gaps, risks, or trends
- Recommendation or next step
- Sources
Tool guidance
Prefer web_search to discover candidates, web_fetch to read exact page contents, and pdf when a primary source is a PDF.
Use the browser only when a relevant source requires interactive navigation, login, or a page state that the normal web tools cannot reach.
Quality bar
Do not end with a pile of links. Synthesize.
Do not present stale or weakly supported claims as settled.
Do not hide uncertainty. If the evidence is thin, say so clearly and narrow the recommendation.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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