ReddRadar
Agent skill
taxonomy
Extract Federated Taxonomy tags from text. LLM extracts candidates, deterministic validation filters to known vocabulary. Returns bridge tags for multi-hop graph traversal.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/taxonomy
Metadata
Additional technical details for this skill
- short description
- Extract taxonomy tags for graph traversal
SKILL.md
Taxonomy
Extract Federated Taxonomy tags from text for memory storage and multi-hop graph traversal.
Quick Start
# 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
{
"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 content (ATT&CK/D3FEND vocabulary)
Use Cases
- Before storing to memory: Get tags to enable graph traversal
- Filtering what to remember: Check
worth_rememberingfield - Cross-collection queries: Use bridge_tags for multi-hop search
Composing with /learn
# /learn can call /taxonomy for tag extraction
tags=$(./run.sh --text "$content" --collection operational --json)
bridge_tags=$(echo "$tags" | jq -r '.bridge_tags | join(",")')
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