Agent skill · AI & Agents

taxonomy

Extract Federated Taxonomy tags from text. LLM extracts candidates, deterministic validation filters to known vocabulary. Returns bridge tags for multi-hop graph traversal.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill taxonomy-grahama1970-agent-skills --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 2 KB
Bundled scripts: none
Allowed tools: BashRead
Path: skills/ai-llm/taxonomy-grahama1970-agent-skills/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Taxonomy Extract Federated Taxonomy tags from text for memory storage and multi-hop graph traversal. ## Quick Start ```bash # Extract tags from text ./run.sh --text "Error handling in the authentication module" --collection operational # Extract from file ./run.sh --file document.txt --collection lore # Just get bridge tags (for graph traversal) ./run.sh --text "..." --bridges-only ``` ## Output ```json { "bridge_tags": ["Resilience", "Loyalty"], "collection_tags": {"function": "Fix", "domain": "Middleware"}, "confidence": 0.8, "worth_remembering": true } ``` ## Bridge Tags (Tier 0) Shared across all collections - enable cross-collection queries: | Tag | Indicates | |-----|-----------| | Precision | Methodical, optimized, algorithmic | | Resilience | Fault tolerance, error handling, robustness | | Fragility | Technical debt, brittleness, single point of failure | | Corruption | Bugs, data corruption, silent failures | | Loyalty | Security, compliance, auth, encryption | | Stealth | Hidden, evasion, infiltration | ## Collection Types - **lore** - Narrative/story content (HLT vocabulary) - **operational** - Code/technical lessons (Operational vocabulary) - **sparta** - Security con

What's inside
Steps it walks through
  1. Quick Start
  2. Output
  3. Bridge Tags (Tier 0)
  4. Collection Types
  5. Use Cases
  6. Composing with /learn
Ships with 1 file
  • metadata.json
Commands it runs
Extract tags from text
Extract from file
Just get bridge tags (for graph traversal)
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About this skill
What does the taxonomy skill do?

Extract Federated Taxonomy tags from text. LLM extracts candidates, deterministic validation filters to known vocabulary. Returns bridge tags for multi-hop graph traversal.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill taxonomy-grahama1970-agent-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going