skills/auto-skill/SKILL.md
Evaluate current session for skill-worthy workflows and create reusable skills. Triggers on: auto-skill, create skill from session, save workflow, capture this as a skill.
npx skillsauth add 0xDarkMatter/claude-mods auto-skillInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Evaluate the current session and create a reusable skill from complex workflows. Enforces the Agent Skills specification and quality gates.
/auto-skillParse arguments after auto-skill (or /auto-skill):
| User says | Action |
|-----------|--------|
| auto-skill (no args) | Run the full evaluation procedure below |
| auto-skill off | Disable globally: touch ~/.claude/auto-skill.disable and confirm |
| auto-skill on | Enable globally: rm -f ~/.claude/auto-skill.disable and confirm |
| auto-skill off --project | Disable for this project: mkdir -p .claude && touch .claude/auto-skill.disable |
| auto-skill on --project | Enable for this project: rm -f .claude/auto-skill.disable |
| auto-skill status | Show current state (see Status section below) |
| auto-skill pending | Show all entries in ~/.claude/auto-skill/pending.log (past suggestions the user may have missed) |
| auto-skill clear | Truncate ~/.claude/auto-skill/pending.log after confirming with user |
When the user runs auto-skill status, check and report:
# Global toggle
[ -f "$HOME/.claude/auto-skill.disable" ] && echo "Global: OFF" || echo "Global: ON"
# Project toggle
[ -f ".claude/auto-skill.disable" ] && echo "Project: OFF" || echo "Project: ON"
# Hook scripts installed?
[ -x "$HOME/.claude/auto-skill/track-tools.sh" ] && echo "Hooks: installed" || echo "Hooks: not installed"
# Active session tracking?
ls /tmp/claude_autoskill_* 2>/dev/null | head -1 && echo "Tracking: active" || echo "Tracking: idle"
Report results in a brief table.
Review the conversation history in the current session. Ask yourself:
ls ~/.claude/skills/ 2>/dev/null; ls .claude/skills/ 2>/dev/null
If ANY answer is no, tell the user: "This session doesn't look like a good skill candidate" and explain which criterion failed. Stop here.
Before creating, check for overlapping skills:
# List existing skill names and descriptions
for f in ~/.claude/skills/*/SKILL.md .claude/skills/*/SKILL.md 2>/dev/null; do
[ -f "$f" ] || continue
name=$(head -10 "$f" | grep '^name:' | sed 's/name: *//')
desc=$(head -10 "$f" | grep '^description:' | sed 's/description: *//' | tr -d '"')
echo "$name: $desc"
done
Block if:
If overlap detected, suggest extending the existing skill instead.
Propose a skill to the user with:
| Field | Value | |-------|-------| | Name | kebab-case, descriptive, matches what it does | | Description | 1-2 sentences with trigger keywords | | Procedure | Numbered steps extracted from the session workflow | | Tools needed | Which tools the skill requires |
Ask the user to confirm or adjust before creating.
Before writing, validate:
| Gate | Requirement | Why |
|------|-------------|-----|
| Name format | ^[a-z][a-z0-9-]*$, 1-64 chars | Agent Skills spec |
| Description | Non-empty, 1-1024 chars, includes trigger phrases | Spec + discovery |
| Procedure | Must contain numbered steps, ## Procedure/## Steps, or checkboxes | Ensures actionable content |
| Min content | 200+ characters in body (after frontmatter) | Rejects trivial stubs |
| License | license: MIT | claude-mods convention |
| Metadata | metadata.author: claude-mods | claude-mods convention |
| No non-standard top-level keys | Only name, description, license, compatibility, allowed-tools, metadata | Agent Skills spec |
If any gate fails, explain which one and help the user fix it.
Write the skill to the project's skill directory:
.claude/skills/<skill-name>/
SKILL.md
scripts/.gitkeep
references/.gitkeep
assets/.gitkeep
SKILL.md frontmatter template (Agent Skills spec compliant):
---
name: <kebab-case-name>
description: "<what it does>. Triggers on: <keyword1>, <keyword2>, <keyword3>."
license: MIT
allowed-tools: "<space-delimited tool list>"
metadata:
author: claude-mods
---
Body structure:
# <Skill Title>
<1-2 sentence overview>
## When to Use
- <trigger condition 1>
- <trigger condition 2>
## Procedure
1. <Step one>
2. <Step two>
3. <Step three>
...
## Notes
<Edge cases, caveats, or tips>
After creating, verify the skill:
head -20 .claude/skills/<name>/SKILL.md
Because systemMessage output from the Stop hook is delivered to Claude (not
directly to the user), suggestions often die silently when the user's next
prompt doesn't invite them to be mentioned. To solve this, the hook also
appends a line to ~/.claude/auto-skill/pending.log each time it fires:
2026-04-24T19:28:03+10:00|9dc8576c|/x/forge/axiom|12|5|28|Write(4) Edit(3) Bash(3)
Fields (pipe-delimited):
| # | Field | Example |
|---|-------|---------|
| 1 | ISO8601 timestamp | 2026-04-24T19:28:03+10:00 |
| 2 | Short session ID | 9dc8576c |
| 3 | CWD when suggestion fired | /x/forge/axiom |
| 4 | Mutating op count | 12 |
| 5 | Unique tool type count | 5 |
| 6 | Total tool calls | 28 |
| 7 | Top-6 tool histogram | Write(4) Edit(3) Bash(3) |
/sync reads this log at session start and surfaces any entries from the
last 72 hours under a "Skill Suggestions" section — the one place the
user will reliably see them.
auto-skill pending — cat ~/.claude/auto-skill/pending.log (or show
"no pending suggestions" if absent/empty)auto-skill clear — truncate after confirming with the usertouch .claude/auto-skill.disable # Disable Stop hook suggestions
rm .claude/auto-skill.disable # Re-enable
The skill itself can always be invoked manually regardless of this setting.
Auto-skill uses two hooks for automatic suggestions. These are installed globally:
~/.claude/auto-skill/
track-tools.sh # PostToolUse: counts tool calls per session
evaluate.sh # Stop: suggests skill creation if complex enough
Both hooks fail silently - they will never produce error output or block Claude.
Add to ~/.claude/settings.json (merge with existing hooks):
{
"hooks": {
"PostToolUse": [{
"matcher": "*",
"hooks": [{
"type": "command",
"command": "bash \"$HOME/.claude/auto-skill/track-tools.sh\"",
"timeout": 2
}]
}],
"Stop": [{
"hooks": [{
"type": "command",
"command": "bash \"$HOME/.claude/auto-skill/evaluate.sh\"",
"timeout": 5
}]
}]
}
}
The Stop hook only suggests skill creation when ALL of these pass:
| Gate | Threshold | Rationale |
|------|-----------|-----------|
| Mutating ops | 8+ | High bar reduces noise from routine edits |
| Tool diversity | 4+ distinct types | Write+Edit+Bash+Agent = workflow; Write*20 = repetitive |
| No non-harness skill loaded | Skill tool absent OR only harness skills | If following a domain skill, work isn't novel. Harness skills (sync, save, introspect, auto-skill, setperms, tool-discovery) are whitelisted — they're bootstrap/meta, not recipes. |
| Per-session | Once per session | Never nags on resume/continue |
| Not disabled | No .disable file | Global or per-project toggle |
Read-only tools (Read, Glob, Grep, LS, Task*) are excluded from counts.
2>/dev/null and always exit 0.testing
Audit any repo against the agentic-quality doctrine — score entry docs, structure, and enforcement gates, then map each finding to its fix. Triggers on: repo doctor, repo audit, agentic quality, is this repo agent-friendly, doc drift, stale AGENTS.md, monorepo structure, nested CLAUDE.md.
data-ai
Router for parallel or recurring agent work across six skills. Covers: parallel agents, fan out work, delegate to workers, run overnight, scheduled loop, land branches, mixed-model fleet, orchestrate workers, background agents at scale. Triggers on: which skill for parallel work, fan out agents, spawn workers, run this overnight, schedule a loop, land my branches, heterogeneous fleet, delegate to cheaper model, autonomous loop.
tools
Heterogeneous cross-provider fleet - GLM (z.ai), Codex (OpenAI), Grok (xAI), Anthropic Sonnet/Opus/Haiku - from one session, porting the native Workflow tool's patterns (adversarial verify, judge panels, journal resume) to OS-process workers. Triggers: fleetflow, heterogeneous/mixed-model fleet, codex worker, grok worker, cross-provider fan-out, cross-model verify.
development
Application/game-scale three.js: ES modules, GLTF pipeline (DRACO/KTX2/meshopt), AnimationMixer, physics (rapier/cannon-es), react-three-fiber, and performance at scale (InstancedMesh, LOD, draw calls). Triggers on: three.js, GLTFLoader, r3f, game loop, WebGL memory leak, boids.