packages/skills/skills/skill-registry/SKILL.md
Scan, inventory, and track all Claude Code skills — local, global, project-level, and published. Shows publish status on skillhu.bz and skills.sh, install counts, and authorship. Use when: 'list skills', 'skill registry', 'skill inventory', 'what skills do I have', 'which skills are published', 'skill stats'.
npx skillsauth add mediar-ai/skillhubz skill-registryInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Scan all skill locations, cross-reference with online registries (skillhu.bz, skills.sh/GitHub), and output a unified inventory. Persists state to ~/.claude/skill-registry.json for fast lookups.
Scan all three skill locations and extract YAML frontmatter from each SKILL.md:
# Scan ~/.claude/skills/ (private global skills — authored by user)
for d in ~/.claude/skills/*/; do
name=$(basename "$d")
if [ -f "$d/SKILL.md" ]; then
desc=$(awk '/^---/{n++; next} n==1 && /^description:/{gsub(/^description: *"?|"$/,"",$0); print; exit}' "$d/SKILL.md")
echo "claude|$name|$desc"
fi
done
# Scan ~/.agents/skills/ (skills.sh installed skills — may be authored by others)
for d in ~/.agents/skills/*/; do
name=$(basename "$d")
if [ -f "$d/SKILL.md" ]; then
desc=$(awk '/^---/{n++; next} n==1 && /^description:/{gsub(/^description: *"?|"$/,"",$0); print; exit}' "$d/SKILL.md")
echo "agents|$name|$desc"
fi
done
For the current project, also check .claude/skills/ in the working directory.
Skills are authored by user if they exist in ~/.claude/skills/ (these are hand-created, not installed from a registry).
Skills in ~/.agents/skills/ may be:
~/.claude/skills/ or published under your GitHub usernamelicense field in frontmatter or are NOT in ~/.claude/skills/To check, compare the two directories:
# Skills ONLY in ~/.claude/skills (user-authored, not from skills.sh)
comm -23 <(ls ~/.claude/skills/ | sort) <(ls ~/.agents/skills/ | sort)
# Skills in BOTH (user-authored + also installed via skills.sh)
comm -12 <(ls ~/.claude/skills/ | sort) <(ls ~/.agents/skills/ | sort)
# Skills ONLY in ~/.agents/skills (installed from others)
comm -13 <(ls ~/.claude/skills/ | sort) <(ls ~/.agents/skills/ | sort)
Query the skillhu.bz registry for skills authored by your GitHub username:
# Fetch the full registry and filter for your skills
# Replace <your-github-username> with your actual GitHub username
curl -s 'https://skillhu.bz/api/skills' | python3 -c "
import json, sys
try:
data = json.load(sys.stdin)
skills = data if isinstance(data, list) else data.get('skills', [])
for s in skills:
if s.get('author') == '<your-github-username>':
print(json.dumps({
'name': s.get('name'),
'installs': s.get('installs', 0),
'stars': s.get('stars', 0),
'category': s.get('category', ''),
'updated': s.get('updatedAt', '')
}))
except: pass
"
If the API doesn't have a list endpoint, fall back to checking individual skills:
# Check specific skill
curl -s "https://skillhu.bz/api/skills/SKILL_NAME" | python3 -c "import json,sys; d=json.load(sys.stdin); print(json.dumps(d))" 2>/dev/null
Check which skills have GitHub repos under your username:
# Replace <your-github-username> with your actual GitHub username
gh repo list <your-github-username> --json name,description --limit 200 | python3 -c "
import json, sys
repos = json.load(sys.stdin)
for r in repos:
name = r.get('name', '')
desc = r.get('description', '') or ''
# Check if repo has a SKILL.md (indicates it's a published skill)
print(f\"{name}|{desc}\")
"
For each potential skill repo, verify it has a SKILL.md:
gh api repos/<your-github-username>/REPO_NAME/contents/SKILL.md --jq '.name' 2>/dev/null && echo "has-skill-md"
For skillhu.bz published skills:
curl -s 'https://skillhu.bz/api/track' | python3 -c "
import json, sys
data = json.load(sys.stdin)
installs = data.get('installs', {})
stars = data.get('stars', {})
for name in set(list(installs.keys()) + list(stars.keys())):
print(f\"{name}|installs:{installs.get(name,0)}|stars:{stars.get(name,0)}\")
"
Combine all data into ~/.claude/skill-registry.json:
import json, os, subprocess, glob
from datetime import datetime
registry = {
"last_updated": datetime.now().isoformat(),
"skills": []
}
# ... combine scan results into entries like:
entry = {
"name": "skill-name",
"locations": ["~/.claude/skills", "~/.agents/skills"], # where it exists
"authored_by_user": True, # or False
"description": "...",
"published": {
"skillhubz": {"url": "https://skillhu.bz/skill/NAME", "installs": 0, "stars": 0},
"skills_sh": {"repo": "<your-github-username>/NAME", "url": "https://github.com/<your-github-username>/NAME"}
},
# or "published": {} if not published anywhere
}
Output a formatted table:
SKILL REGISTRY (last updated: 2026-03-03T...)
YOUR SKILLS (authored by you):
Name | Location | Published | Installs
auth | ~/.claude | - | -
gmail | ~/.claude | - | -
whatsapp-web-decrypt | both | skillhu + skills.sh| 0
browser-lock | ~/.claude | skillhu | 1
social-autoposter | ~/.claude | - | -
...
INSTALLED SKILLS (from others):
Name | Location | Source
frontend-design | both | skills.sh
copywriting | both | skills.sh
...
PROJECT SKILLS (current project):
Name | Location
browser-analysis | .claude/skills
whatsapp-analysis | .claude/skills
...
PUBLISHED BUT NOT LOCAL:
Name | Platform | Installs
tmux-background-agents | skillhu | 0
SUMMARY:
Total skills: XX | Your skills: XX | Published: XX | Installed from others: XX
--refresh: Execute Steps 1-6, save to ~/.claude/skill-registry.json--refresh to re-scan.publish-skill skill should trigger a refresh.skill registry or list skills — show the full registry (cached or fresh)skill registry --refresh — force re-scan all locations and online registriesskill registry --published — show only published skills with statsskill registry --unpublished — show skills not yet published anywhereskill registry --mine — show only user-authored skills~/.claude/skills/ are user-authored (private, not installed from registries)~/.agents/skills/ are installed via npx skills add (skills.sh).claude/skills/ are repo-specific<your-github-username> with your actual GitHub username throughout~/.claude/skill-registry.jsontools
Use when the user wants to manage Valet agents, channels, connectors, organizations, or environment variables (secrets and plain config) via the valet CLI. Handles creation, deployment, linking, teardown, and all multi-step workflows. Also use when asked to "create an agent", "deploy an agent", "design an agent", "build me an agent that...", "create a connector", "set up a webhook", or anything involving the Valet platform or any request to create and deploy AI agents. Also use when asked to "learn from this session", "capture this workflow", "save this as an agent", "make this repeatable", or when writing SOUL.md files.
tools
Publish files, folders, and artifacts to the web. Static hosting for HTML sites, images, PDFs, reports, dashboards, and any file type. Use when asked to publish, host, upload, serve, or share work at a live URL. Also use to propose a rendered page when a report, comparison, chart, design document, or status page would work better than terminal text, but do not create or update a remote site until the user asks or agrees. Account publishing gives a permanent, private-by-default URL visible to org members; --anonymous gives a temporary public URL with no account. Use the valet CLI when available and its MCP server when the CLI cannot run. For deploying an AI agent rather than static files, use the `valet` skill instead.
testing
# Faceless.so Turn a script, prompt, Reddit post, or blog into a Remotion short with TTS, captions, and B-roll, then auto-post to YouTube, TikTok, Instagram, X, Facebook, LinkedIn, and Threads. ## Prerequisites - A Faceless.so account (from $24/mo) at https://faceless.so - Source material: script, prompt, Reddit URL, or blog URL - Destination social accounts to auto-post (YouTube, TikTok, Instagram, X, Facebook, LinkedIn, Threads) ## Instructions 1. Open https://faceless.so and start a new
testing
# BIMI SVG Tiny P/S Corpus Validator Use the public makeBIMI SVG Tiny P/S Test Corpus to evaluate an SVG against its evidence-bound fixture rules and to report the result clearly. ## Inputs Accept either an SVG file, an SVG URL, or raw SVG markup. If the source cannot be retrieved or parsed as XML, stop and report that limitation. ## Authoritative corpus 1. Retrieve the current manifest from `https://makebimi.com/public/test-corpus/v1/manifest.json`. 2. Record `schema_version`, `corpus_vers