Learn-skills.dev mcp-research

Use when tasks require current, source-backed technical information from MCP tools. Apply for library/API questions, dependency version checks, third-party integration work, framework- or SDK-specific debugging, and any case where stale model knowledge could cause incorrect guidance.

install
source · Clone the upstream repo
git clone https://github.com/NeverSight/learn-skills.dev
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/NeverSight/learn-skills.dev "$T" && mkdir -p ~/.claude/skills && cp -r "$T/data/skills-md/ahgraber/skills/mcp-research" ~/.claude/skills/neversight-learn-skills-dev-mcp-research && rm -rf "$T"
manifest: data/skills-md/ahgraber/skills/mcp-research/SKILL.md
source content

MCP Docs and Research (Context7, Exa, Jina)

Overview

Use MCP-provided tools to retrieve current, verifiable information instead of relying on memory for fast-changing libraries, APIs, and ecosystem guidance.

When to Use

  • Working with any external library or framework (for example, FastAPI, SQLAlchemy, pandas, boto3, or requests).
  • Installing or upgrading dependencies and verifying current versions or migration guidance.
  • Implementing features tied to third-party SDKs or APIs.
  • Debugging behavior that may be version-specific.
  • Looking up current best practices, changelogs, or breaking changes.

Tool Selection

  1. Use
    mcp__context7__resolve-library-id
    and
    mcp__context7__query-docs
    for official library documentation and API usage.
  2. Use
    mcp__exa__get_code_context_exa
    for code-centric examples across docs, GitHub, and Stack Overflow.
  3. Use
    mcp__exa__web_search_exa
    for broader current web context (announcements, release notes, ecosystem updates).
  4. Use
    mcp__jina__search_web
    to discover relevant pages, then
    mcp__jina__read_url
    for clean page extraction.
  5. Use
    mcp__jina__search_arxiv
    and
    mcp__jina__extract_pdf
    only when the task needs paper-level or PDF-structured research.

Default Workflow

  1. Classify the request: official API docs, implementation examples, or broad web research.
  2. Start with the narrowest reliable source:
    • Official docs first (
      Context7
      ) for API correctness.
    • Add
      Exa
      /
      Jina
      only when you need cross-source confirmation or broader context.
  3. For Context7 docs, always resolve the library id before querying docs unless the exact
    /org/project
    id is already provided.
  4. Keep queries specific (library + feature + version/error) to reduce noisy results.
  5. Synthesize findings and clearly separate sourced facts from inferences.

Quality Rules

  • Prefer primary/official documentation for API signatures and behavior.
  • For dependency/version decisions, verify with current documentation before recommending versions.
  • Avoid unsupported claims; cite concrete tool findings.
  • If sources conflict, report the conflict and recommend the safest path (pin version, test in isolation, or check release notes).
  • If coverage is weak, state limits explicitly and proceed with best available evidence.