MCPInstall

skill-map

Use to find agent skill installs, repository skill portfolios, duplicate skills, cross-dependencies, invocations, and cross-references across the local machine.

Installs
99
Last 24h
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/paulrberg/agent-skills --skill skill-map
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads skill-map automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Skill Map

This skill is coordination-exempt: skip the ai-coord gate for its declared work.

Find skill installs and references across local files without scanning macOS protected home paths or obvious transcript, cache, dependency, and backup noise.

Arguments

  • --root PATH: Scan this root. Repeatable. Default: ~.
  • --portfolio-root PATH: Resolve PATH to its Git root, then scan that repository plus existing ~/.agents/skills and ~/.claude/skills. Mutually exclusive with --root.
  • --skill NAME: Restrict the report to one skill name. Repeatable.
  • --format text|json|dot: Select report format. Default: text.
  • --include-catalog-sources: Include known local source checkouts such as ~/projects/agent-skills, ~/sablier/sablier-skills, and ~/sablier/agent-skills during broad scans. Explicit --root values inside those trees are always scanned.
  • --include-self: Include self-references in dependency output.
  • --include-snippets: Include matched reference text when exact lines materially improve the result. Default output omits snippets for concise, high-signal reports.
  • --show-skipped: Include ignored path summaries in text or JSON output.

Workflow

  1. Require ai-skillet 1.0.0 or newer on PATH, then run:

    ai-skillet map
    

    Append each parsed invocation option and its value as separate arguments, preserving quoted values. For example, --root '/path with spaces' --format json adds two options; use the argument-free form for the defaults.

  2. Use --format json when another command or agent will consume the result.

  3. Use --portfolio-root <repo> --format json when comparing repository skills with user-installed Codex and Claude Code exposures. Do not add broader home roots.

  4. Use --format dot when the user asks for a graph, Graphviz input, or dependency visualization.

  5. Use --include-snippets when exact matching lines materially improve the result, including when the user asks to see them.

  6. Read references/ignore-policy.md only when explaining, auditing, or changing the ignore policy.

User-Facing Output

Keep JSON and DOT byte-valid and undecorated. For human output, lead with ### 🗺 Skill Map — <skills> skills · <duplicates> duplicates · <unresolved> unresolved and a compact skills/dependencies/duplicates/unresolved summary table. Always state the effective roots and material exclusions; for the default broad scan, explicitly say that standard agent homes and catalog source checkouts were excluded. Make a missing explicit --skill filter a visible ⚠️ Not found result rather than a clean-looking empty map. Use section labels sparingly and keep snippets, local paths, exact edges, commands, and diagnostics undecorated.

Output Semantics

ai-skillet map emits schema version 1. Text is human-readable; JSON is structured for consumers; DOT is Graphviz input.

  • Every edge includes type, provenance, identifier, source, target, path, and line. Dependency evidence uses provenance: declared or inferred; declared and inferred evidence remain independent records even when they describe the same source and target. Declared identifiers preserve their bare or ORG/REPO#SKILL form.
  • external-reference records references outside a discovered skill, and unresolved-like-reference records explicit $kebab-name or /kebab-name tokens that did not match a discovered skill.
  • counts separates declared dependencies, inferred dependencies, external references, duplicates, and unresolved references. A missing --skill filter writes a warning to stderr and returns an empty filtered report.
  • Skill filters match declaration sources and target skill names, including the name after # for external identifiers. Invalid declaration fields stop the mapper with a path-specific error.
  • Every skill record includes skill_sha256 and tree_sha256. The tree hash covers sorted relative paths, entry types, regular-file executable bits, streamed file bytes, and un-followed symlink targets.

Portfolio JSON additionally includes:

  • portfolio.repository_root and present/missing user roots, including the client exposed by each root.
  • Per-skill lexical exposure_path beside resolved realpath; directory_name; repository/user location; install/catalog kind; and applicable clients.
  • is_symlink and the lexical symlink_target for recognized skill-directory symlinks. Exposures that resolve to one real directory remain separate skill entries, while duplicate installs still require distinct real directories. The automatically selected user roots behave like explicit roots: the broad-home ignore policy does not suppress an explicit ~/.agents/skills or ~/.claude/skills root. Portfolio traversal follows symlinks only when the symlink is a direct child of a recognized repository or user skill root; other repository symlinks remain untraversed.

Use --show-skipped to include configured ignored directories, files, protected home paths, caches, and catalog-source exclusions in text or JSON output.

Related Skills

  • skill-map only locates and cross-references skills; it does not validate them. To audit a catalog or installed root for metadata and doc-link issues, use the skill-doctor skill when it is installed.
  • To evaluate the mapped repository-centered portfolio for conflicts, drift, consolidation, or missing workflows, use the manually invoked skill-harmonization skill.

Guard Rails

  • Do not search transcript or backup directories manually after ai-skillet map excludes them unless the user explicitly requests transcript/history analysis.
  • Do not broaden home-directory scans into macOS protected paths such as ~/Library or ~/.Trash; pass narrower explicit roots instead when a broad scan needs more coverage.
  • Treat local skill catalog source checkouts as false positives during broad machine scans; pass them explicitly as --root when auditing catalog contents.
  • Keep reports high-signal: include snippets only when exact evidence materially helps or the user explicitly requests it. Before copying output into a public or third-party artifact, perform an external-disclosure review.
  • Prefer maintaining ignore rules in ai-skillet and documenting the rationale in references/ignore-policy.md instead of ad hoc shell filters.

FAQ

What does the skill-map skill do?

Use to find agent skill installs, repository skill portfolios, duplicate skills, cross-dependencies, invocations, and cross-references across the local machine.

How do I install skill-map?

Run npx skills add https://github.com/paulrberg/agent-skills --skill skill-map in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/skill-map/ (personal) or .claude/skills/skill-map/ (project).

Which AI agents can use skill-map?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is skill-map safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains skill-map?

It is published by paulrberg in paulrberg/agent-skills. It has 99 recorded installs.

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