Capability Taxonomy Mapping SOP

SkillDev tools

Build capability taxonomy, map existing benchmark coverage

Available today. Use it from your connected AI after setup.

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

  1. Construct hierarchical capability taxonomy from literature
  2. Map each benchmark to taxonomy nodes it covers
  3. Compute coverage density per node
  4. Identify white spaces (uncovered capabilities)
  5. 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.

SOPWhen to use
spawn-agentSpawn 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