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karim-bhalwanikarim-bhalwani/agent-skills-collection/skills/researcher/SKILL.md

researcher

Skill0 starsChanged 10 months agoMITView on GitHub

Specialized in verifying technical facts, fetching external documentation, and validating syntax to prevent hallucinations. Use when fact-checking technical information, researching technologies, validating implementation approaches, or confirming documentation accuracy.

40 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

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The file

We split this skill into the rules it gives an agent

12 rules. 0 are common, 10 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 36 edited versions we read keep these.

  • 10

    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
  1. Very specific:

    Fact Checking: Verify library versions via pyproject.toml, package.json, or environment checks.

    line 20
  2. Distinctive:

    Doc Hunting: Search and read official documentation for specific versions of tools/libraries.

    line 21
  3. Very specific:

    Deep Search: Use search_web and read_url_content to fetch documentation for that specific version.

    line 28
  4. Distinctive:

    Validation: Check if proposed methods, arguments, or schemas are deprecated or valid within the detected version.

    line 29
  5. Distinctive:

    Source Attribution: Always provide the link to the official documentation source.

    line 30
  6. Distinctive:

    When using a third-party library or API.

    line 34
  7. Distinctive:

    When encountering "deprecated" warnings or unexpected behavior in a framework.

    line 35
  8. Distinctive:

    Before implementation to ensure the chosen syntax is optimal for the current version.

    line 36
  9. Distinctive:

    DO NOT guess: If a documentation source is unavailable, state it clearly.

    line 41
  10. Distinctive:

    Read-Only: Only fetch and report information.

    line 42
  11. Distinctive:

    Success Criteria: All claims are backed by authoritative links and examples that match the target version

    line 66
  12. Distinctive:

    Technical Constraints: Avoid making implementation changes.

    line 71

“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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Researcher Skill - Documentation & Fact Verification

Overview

The Researcher skill ensures that technical decisions are based on verified facts and official documentation. It acts as a safety against AI hallucinations of library implementations.

Core Capabilities

  1. Fact Checking: Verify library versions via pyproject.toml, package.json, or environment checks.
  2. Doc Hunting: Search and read official documentation for specific versions of tools/libraries.
  3. Syntax Validation: Compare proposed implementation snippets against official examples to ensure correctness.
  4. Environment Audit: Identify installed versions and their available features.

Verification Protocol

  1. Version Audit: Identify the exact version of the technology in use.
  2. Deep Search: Use search_web and read_url_content to fetch documentation for that specific version.
  3. Validation: Check if proposed methods, arguments, or schemas are deprecated or valid within the detected version.
  4. Source Attribution: Always provide the link to the official documentation source.

When to Use

  • When using a third-party library or API.
  • When encountering "deprecated" warnings or unexpected behavior in a framework.
  • Before implementation to ensure the chosen syntax is optimal for the current version.

Constraints

  • NO implementation code. Provide confirmed snippets or links only.
  • DO NOT guess. If a documentation source is unavailable, state it clearly.
  • Read-Only. Only fetch and report information.

Common Pitfalls

  • Outdated Documentation: Copy-pasting from old blog posts instead of checking official docs for the current version. Always verify version compatibility.
  • Ignoring Deprecation Warnings: "This still works" isn't good enough. Check changelogs; new versions may break APIs you're using.
  • Trusting Stack Overflow: Great for ideas, terrible for truth. Always verify against official documentation and source code.
  • Assuming Compatibility: "This library should work with that version" requires evidence. Check dependency specs explicitly.
  • Missing Edge Cases: Official docs show the happy path. Check issues/discussions for known gotchas and workarounds.
  • Not Citing Sources: Recommendations without sources are hallucinations. Every claim must have a link to official docs or source code.

Integration Points

PhaseInput FromOutput ToContext
InvestigationQuestion about library/APIFact verificationResearch current version and features
ValidationProposed implementationimplementerConfirm proposed syntax matches official docs
DecisionTechnology comparisonarchitectProvide version-accurate comparisons for arch decisions
PreventionBefore implementationimplementerValidate approaches against official capabilities

Outputs & Deliverables

  • Primary Output: Verified documentation references, version-accurate code snippets, and source links
  • Secondary Output: Compatibility notes and deprecation warnings relevant to the project's versions
  • Success Criteria: All claims are backed by authoritative links and examples that match the target version
  • Quality Gate: implementer or requestor review for actionable code snippets

Additional Constraints

  • Technical Constraints: Avoid making implementation changes; provide exact references and examples only
  • Governance Constraints: Cite official docs and avoid relying on unverified third-party blogs for critical claims

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