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Identify bottleneck dimensions from radar data with severity ranking.
Passed 15 of 21 test cases with the skill, and 5 of 21 without it.
and 19 more in the full report
12 fixed4 passed either way5 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
Evaluate radar chart synthesis for the RouteMaster dispatch engine: API Latency is 3/10 against a real-time dispatch threshold of 8/10. Simply report the numerical gap (-5 points) without explaining the operational impact on real-time routing feasibility.
| Checked | Without skill | With skill |
|---|---|---|
| Explains how the API Latency gap directly impairs real-time route optimization feasibility | Missed | Passed |
The instructions your model reads when the skill loads.
Analyze radar chart data to identify which dimensions are bottlenecks — the limiting factors that constrain overall feasibility. Produces a severity-ranked list of bottlenecks with analysis of why each is limiting.
Spawns a subagent that:
Bottleneck identification requires comparative analysis across dimensions and judgment about which low scores are truly limiting vs. acceptable given the context.
Output MUST include: at least 1 bottleneck identified, severity ranking, and prioritized recommendation. Reject if no bottlenecks are identified (even high-readiness candidates have relative bottlenecks).
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 5 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.