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Build capability taxonomy, map existing benchmark coverage
Passed 13 of 22 test cases with the skill, and 10 of 22 without it.
and 3 more in the full report
5 fixed8 passed either way7 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
We want to evaluate LLM math capabilities using GSM8K, MATH, SVAMP, and TabMWP. The engineering team wants to just create a simple tags list, but we need a complete audit. Map these tools onto a hierarchical taxonomy for math reasoning, calculate density per node, and detail over-covered and under-covered areas.
| Checked | Without skill | With skill |
|---|---|---|
| The output maps both GSM8K and SVAMP to the same node for elementary word problems. | Passed | Passed |
| The output calculates numerical coverage density values (benchmark count per node) across taxonomy categories. | Passed | Passed |
| The output flags formal interactive theorem proving as an unmapped white space. | Missed | Passed |
The instructions your model reads when the skill loads.
Build a hierarchical capability taxonomy for a domain and map existing benchmark coverage onto it to identify gaps and redundancies.
Annotated taxonomy tree with coverage statistics and prioritized gaps.
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. |
test cases passed, vs 10 / 22 without
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