Skill Atlas

skill-atlas

Builds a structural graph of every registered skill on this machine, maintains a model-assigned category catalog over it, and renders both as a self-contained HTML atlas. Discovery is manifest-driven (installed_plugins.json → plugin.json → settings.json), so marketplace catalogues, stale cached plugin versions and deprecated trees never pollute the picture.

Everything is fully project-local: all artifacts and curated state live in ./.claude/skill-atlas/ of the directory you run in (auto-created on first build — any directory becomes an atlas scope by running this), covering the machine's plugins + user skills + this directory's own .claude/skills/. Different directories are independent worlds with independent taxonomies.

The flow is build → categorize → render → report. All scripts live under ${CLAUDE_PLUGIN_ROOT}/scripts/ and are Python 3 stdlib-only.

1. Build

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/build_graph.py"

Exit 1 is findings, not failure — carry on and report them (see exit codes below). If it exits 2 naming categories.json or config.json violations: that is hand-editable curated state — report each violation, offer to fix the file (or install a corrected one via categorize.py import <path>), and NEVER delete or regenerate it. Other exit-2 causes: diagnose from stderr and ./.claude/skill-atlas/debug.log.

2. Categorize

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/categorize.py" status

All catalog writes go through categorize.py — never edit categories.json free-hand. On exit 3 the payload was rejected: stderr names every violation; fix exactly what it names and retry.

Every successful bootstrap / assign / confirm / add-category call refreshes graph.json and catalog/ itself and ends with a catalog: summary line — no rebuild afterwards. If a call instead warns that the derived refresh failed, run build_graph.py once before rendering. The run's final catalog: line must show 0 uncategorized. Then branch on bootstrapped:

bootstrapped: false → bootstrap now, autonomously (no approval step)

The status output already includes every skill's id and description (skills). Draft 8–12 categories, each with a one-line description, following these rules:

• describe the task shape in user-intent terms, not implementation terms;
• when two categories could be confused, let each description name its side of the boundary;
• a product gets its own category only when it dominates the collection;
• do NOT enumerate product/tool words in the description — the build derives token lists from membership automatically.

Assign EVERY skill to one or more categories, ordered (first entry is its display home) — full coverage is mandatory and the CLI rejects a bootstrap that leaves any skill unassigned; if nothing fits a skill, the taxonomy is missing a category, so create it. Assignment rules:

• Multi-home across confusable boundaries. Search reads ONE shard, picked from the one-line descriptions, so a skill filed on only one side of a confusable pair is invisible to every task phrased in the twin's terms. Assign each skill to EVERY category a realistic task needing it would plausibly route to, home first — a debugging methodology also belongs in testing ("my tests are failing" is a debugging task phrased as testing); a design-interrogation skill also belongs in discovery. The boundary clauses written into the descriptions mark exactly the pairs to sweep: a boundary worth disclaiming in prose is a boundary whose straddling skills belong on both sides.
• A second home needs a realistic task phrasing, not a conceptual relation — when most skills sit in 3+ categories, the shards bloat back toward the flat catalog this system exists to avoid.
• A platform-locked skill (usable only on one vendor's stack) stays in its platform category — never file it into a generic category its wording happens to match.

Then write it in one call:

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/categorize.py" bootstrap <<'EOF'
{"taxonomy": [{"name": "testing", "description": "writing, running and structuring tests"}],
 "assignments": {"some-plugin:tdd": ["testing"]}}
EOF

bootstrapped: true → incremental

The taxonomy is frozen — assign into it, never re-label unchanged skills:

• For every id in uncategorized: match its description against the frozen taxonomy's one-line descriptions; batch all fits into ONE categorize.py assign call (same stdin shape as bootstrap, without "taxonomy"). The bootstrap assignment rules apply here too: multi-home the skill into every category a realistic task would route to, not just its best single fit.
• If nothing fits a skill: add a category yourself — categorize.py add-category <name> "<one-line description>", then assign — and call the addition out prominently in the report.
• For every id in stale: re-read its current description. Labels still right → batch into categorize.py confirm <id> <id> …. Wrong → include in the assign payload with new labels.
• A run must end with zero uncategorized skills — uncategorized is a transitional state between runs, never an acceptable end state. If the last catalog: line still reports uncategorized > 0, something was missed — go back and assign it.
• Every registered skill in this scope's graph is categorized — plugins, user skills, and this directory's own project skills alike (including collision-renamed ids like name@user / name@project).

3. Render

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/render.py"

4. Report

The summary line per view (skills / enabled / files / edges / uncategorized / stale); every dangling or broken-reference finding by name (these are real defects); what categorization did this run — newly assigned (id → categories), stale confirmed vs moved, any category you added; and the atlas path (./.claude/skill-atlas/atlas.html). The first build in a repo drops a .gitignore inside .claude/skill-atlas/ covering the derived files (graph.json, atlas.html, catalog/, graph.dirty, debug.log) — commit it together with categories.json (this project's curated categorization) and config.json. Caveat: a repo that ignores .claude/ wholesale swallows that nested file; it needs negation rules before categories.json can be committed.

Interpreting exit codes

• 0 — built, nothing dangling.
• 1 — built AND at least one defect: a broken bundled-file reference, or a mention of an unregistered/disabled skill. Report each finding — these are real defects. Uncategorized/stale counts are NOT defects, only TODO states for categorization.
• 2 — build failed. If stderr names categories.json/config.json violations, that is curated state failing loud: report the violations, offer to fix the file or categorize.py import <path> a corrected one. Otherwise check stderr and ./.claude/skill-atlas/debug.log.
• 3 — (categorize.py writes only) the payload was rejected; stderr names every violation. Fix and retry.

Contract

• Reads only skill files and manifests. It never reads session transcripts and records no usage data.
• graph.json, atlas.html and catalog/ are derived caches — safe to delete, always rebuildable.
• categories.json is curated state — the one exception to rebuild-never-repair. Never delete or regenerate it; regeneration discards the frozen taxonomy and every assignment. Each scope carries its own complete file (taxonomy + assignments) in ./.claude/skill-atlas/ — commit it with the repo. config.json (the searchable-plugins opt-in) is per-scope user config.
• The taxonomy freezes at bootstrap. Renaming or merging categories is a hand-edit of categories.json (taxonomy AND assignments) validated via categorize.py import, followed by a rebuild.
• This skill, the build and the hooks never write Claude Code's own config — recommend enabling a plugin, never flip enabledPlugins yourself. The one exception is the /skill-atlas:edit-searchable command, where disabling a plugin IS the user's explicit selection and is confirmed before it runs; automated paths stay read-only on settings.
• The atlas shows structure only (what is loadable, what is broken). Do NOT tell the user which skills are unused or "dead" — the tool does not measure usage, deliberately (DESIGN §6).