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

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.
Use --format json when another command or agent will consume the result.
Use --portfolio-root <repo> --format json when comparing repository skills with user-installed Codex and Claude Code exposures. Do not add broader home roots.
Use --format dot when the user asks for a graph, Graphviz input, or dependency visualization.
Use --include-snippets when exact matching lines materially improve the result, including when the user asks to see them.
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.

skill-map