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librarian

maintained by dmmulroy

star 384 account_tree 28 verified_user MIT License
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name: librarian description: Multi-repository codebase exploration. Research library internals, find code patterns, understand architecture, compare implementations across GitHub/npm/PyPI/crates. Use when needing deep understanding of how libraries work, finding implementations across open source, or exploring remote repository structure. references:

  • references/tool-routing.md
  • references/opensrc-api.md
  • references/opensrc-examples.md
  • references/linking.md
  • references/diagrams.md

Librarian Skill

Deep codebase exploration across remote repositories.

How to Use This Skill

Reference Structure

File Purpose When to Read
tool-routing.md Tool selection decision trees Always read first
opensrc-api.md API reference, types Writing opensrc code
opensrc-examples.md JavaScript patterns, workflows Implementation examples
linking.md GitHub URL patterns Formatting responses
diagrams.md Mermaid patterns Visualizing architecture

Reading Order

  1. Start with tool-routing.md → choose tool strategy
  2. If using opensrc:
    • Read opensrc-api.md for API details
    • Read opensrc-examples.md for patterns
  3. Before responding: linking.md + diagrams.md for output formatting

Tool Arsenal

Tool Best For Limitations
grep_app Find patterns across ALL public GitHub Literal search only
context7 Library docs, API examples, usage Known libraries only
opensrc Fetch full source for deep exploration Must fetch before read

Quick Decision Trees

"How does X work?"

Known library?
├─ Yes → context7.resolve-library-id → context7.query-docs
│        └─ Need internals? → opensrc.fetch → read source
└─ No  → grep_app search → opensrc.fetch top result

"Find pattern X"

Specific repo?
├─ Yes → opensrc.fetch → opensrc.grep → read matches
└─ No  → grep_app (broad) → opensrc.fetch interesting repos

"Explore repo structure"

1. opensrc.fetch(target)
2. opensrc.tree(source.name) → quick overview
3. opensrc.files(source.name, "**/*.ts") → detailed listing
4. Read: README, package.json, src/index.*
5. Create architecture diagram (see diagrams.md)

"Compare X vs Y"

1. opensrc.fetch(["X", "Y"])
2. Use source.name from results for subsequent calls
3. opensrc.grep(pattern, { sources: [nameX, nameY] })
4. Read comparable files, synthesize differences

Critical: Source Naming Convention

After fetching, always use source.name for subsequent calls:

const [{ source }] = await opensrc.fetch("vercel/ai");
const files = await opensrc.files(source.name, "**/*.ts");
Type Fetch Spec Source Name
npm "zod" "zod"
npm scoped "@tanstack/react-query" "@tanstack/react-query"
pypi "pypi:requests" "requests"
crates "crates:serde" "serde"
GitHub "vercel/ai" "github.com/vercel/ai"
GitLab "gitlab:org/repo" "gitlab.com/org/repo"

When NOT to Use opensrc

Scenario Use Instead
Simple library API questions context7
Finding examples across many repos grep_app
Very large monorepos (>10GB) Clone locally
Private repositories Direct access

Output Guidelines

  1. Comprehensive final message - only last message returns to main agent
  2. Parallel tool calls - maximize efficiency
  3. Link every file reference - see linking.md
  4. Diagram complex relationships - see diagrams.md
  5. Never mention tool names - say "I'll search" not "I'll use opensrc"

References

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Skill Details

GitHub Stars 384
GitHub Forks 28
Created Jan 2026
Last Updated il y a 4 mois
tools tools automation tools

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