Capability Taxonomy Mapping SOP
SkillDev toolsBuild capability taxonomy, map existing benchmark coverage
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Capability Taxonomy Mapping SOP skill
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/capability-taxonomy-mapping/SKILL.md and read by ahel’s review.
Build a hierarchical capability taxonomy for a domain and map existing benchmark coverage onto it to identify gaps and redundancies.
Input
- domain: The capability domain to taxonomize (e.g., "language understanding", "visual reasoning")
- existing_benchmarks: List of known benchmarks in the domain with brief descriptions
Procedure
- Construct hierarchical capability taxonomy from literature
- Map each benchmark to taxonomy nodes it covers
- Compute coverage density per node
- Identify white spaces (uncovered capabilities)
- Identify redundancy clusters (over-covered capabilities)
Output
Annotated taxonomy tree with coverage statistics and prioritized gaps.
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |
Signals
- GitHub stars
- 469
- Forks
- 37
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
capability-taxonomy-mapping- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine