# Metadata Enricher > Enrich skills.json with additional metadata (category, tags, license, language, last_updated). Use when: (1) adding new metadata fields to skills.json, (2) categorizing uncatégorized skills, (3) enriching repo metadata. Triggers on: "enrich metadata", "add tags", "categorize skills", "metadata enrichment", "add categories". NOT for: updating star counts (use star-updater), or discovering new skil… - **Type:** Skill - **Install:** `agentstack add skill-vivy-yi-awesome-skills-metadata-enricher` - **Verified:** Pending review - **Seller:** [vivy-yi](https://agentstack.voostack.com/s/vivy-yi) - **Installs:** 0 - **Category:** [Web & Browser](https://agentstack.voostack.com/c/web-and-browser) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [vivy-yi](https://github.com/vivy-yi) - **Source:** https://github.com/vivy-yi/awesome-skills/tree/main/.skills/metadata-enricher ## Install ```sh agentstack add skill-vivy-yi-awesome-skills-metadata-enricher ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # Metadata Enricher Enriches `skills.json` with additional metadata fields for better categorization and filtering. ## Target Metadata Schema ```json { "name": "owner/repo", "stars": 1234, "desc": "Description", "url": "https://github.com/owner/repo", "category": "code-review", // NEW: primary category "tags": ["security", "claude"], // NEW: searchable tags "license": "MIT", // NEW: license type "language": "Python", // NEW: primary language "added_date": "2026-04-20", // NEW: when added to collection "last_updated": "2026-04-25", // NEW: last star/meta update "source": "trending" // NEW: discovery method } ``` ## Workflow ### 1. Define Category Taxonomy ```bash cd /Volumes/waku/github-维护/awesome/awesome-skills-repos && \ cat category mapping CATEGORY_KEYWORDS = { 'code-review': ['review', 'lint', 'quality', 'audit', 'test'], 'web-development': ['frontend', 'backend', 'api', 'http', 'server'], 'data-science': ['ml', 'ai', 'machine-learning', 'deep-learning', 'nlp'], 'devops': ['ci', 'cd', 'docker', 'kubernetes', 'deploy', 'infra'], 'mobile': ['ios', 'android', 'react-native', 'flutter'], 'productivity': ['note', 'write', 'task', 'productivity', 'tool'], 'platform-integration': ['github', 'slack', 'jira', 'feishu', 'lark', 'discord'], 'content-creation': ['blog', 'blog', 'social', 'video', 'content'], 'research': ['paper', 'research', 'academic', 'arxiv', 'knowledge'], 'framework': ['framework', 'agent', 'orchestration', 'workflow', 'harness'], 'skill-tools': ['skill', 'claude-code', 'openclaude', 'codex'], 'security': ['security', 'auth', 'crypto', 'encrypt', 'vulnerability'], 'database': ['database', 'sql', 'nosql', 'db', 'storage'], } def infer_category(name, desc, topics): text = (name + ' ' + desc + ' ' + ' '.join(topics)).lower() for cat, keywords in CATEGORY_KEYWORDS.items(): if any(k in text for k in keywords): return cat return 'other' enriched = 0 for i, repo in enumerate(to_process): name = repo.get('name', '') if not name: continue meta = get_metadata(name) if meta: repo['license'] = meta['license'] repo['language'] = meta['language'] # Infer category from name + description + topics inferred_cat = infer_category( name, repo.get('desc', ''), meta.get('topics', []) ) repo['category'] = inferred_cat # Auto-generate tags tags = [] # Platform tags for platform in ['claude-code', 'claude', 'cursor', 'codex', 'opencode']: if platform in name.lower() or platform in repo.get('desc', '').lower(): tags.append(platform) # Language tag if meta['language'] and meta['language'] != 'Unknown': tags.append(meta['language'].lower()) # Topic tags (first 3) tags.extend(meta.get('topics', [])[:3]) repo['tags'] = list(set(tags)) if tags else [] enriched += 1 if (i+1) % 20 == 0: print(f" Progress: {i+1}/{len(to_process)}") time.sleep(0.3) # Rate limit courtesy # Save with open(REPO_PATH, 'w') as f: json.dump(repos, f, indent=2, ensure_ascii=False) print(f"\n=== Enrichment Complete ===") print(f"Enriched: {enriched}/{len(to_process)}") # Count categories categories = {} for r in repos: cat = r.get('category', 'unknown') categories[cat] = categories.get(cat, 0) + 1 print("\nCategory distribution:") for cat, count in sorted(categories.items(), key=lambda x: -x[1]): print(f" {cat}: {count}") PYEOF ``` ### 3. Review and Validate ```bash cd /Volumes/waku/github-维护/awesome/awesome-skills-repos && \ python3 << 'PYEOF' import json with open('skills.json', 'r') as f: repos = json.load(f) # Show sample of each category categories = {} for r in repos: cat = r.get('category', 'other') if cat not in categories: categories[cat] = [] categories[cat].append(r) print("=== Category Samples ===\n") for cat in sorted(categories.keys()): print(f"## {cat} ({len(categories[cat])} repos)") for r in categories[cat][:3]: tags = ', '.join(r.get('tags', [])[:5]) print(f" - {r['name']} [{r.get('language','?')}] tags:{tags}") print() PYEOF ``` ### 4. Commit ```bash cd /Volumes/waku/github-维护/awesome/awesome-skills-repos && \ git diff --stat skills.json | head -5 && \ echo "---" && \ read -p "Commit enrichment? (y/n) " ans && \ if [ "$ans" = "y" ]; then \ git add skills.json && \ git commit -m "feat: enrich skills.json with category, tags, license, language" && \ git push; \ fi ``` ## Notes - Run enrichment after adding many new repos - Categories are inferred from name/description - manual review recommended for edge cases - Tags are auto-generated from GitHub topics + inferred keywords - Can re-run to fill in missing fields without overwriting existing data ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [vivy-yi](https://github.com/vivy-yi) - **Source:** [vivy-yi/awesome-skills](https://github.com/vivy-yi/awesome-skills) - **License:** MIT Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** yes - **Shell / process execution:** yes - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: flagged — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-vivy-yi-awesome-skills-metadata-enricher - Seller: https://agentstack.voostack.com/s/vivy-yi - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.