Librarian Skill Skill | Agent Skills

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

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

Tool Arsenal

| Tool | Best For | Limitations | |------|----------|-------------| | gh cli | For private repos from mettle/nwboxed/eeveebank | eeveebank org only | | 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.files("github.com/owner/repo", "**/*")
3. Read: README, package.json, src/index.*
4. 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

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

Agent Skills: Librarian Skill

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