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Extract ecosystem-level organization patterns (symbiosis, emergence, cycles, resilience).
Passed 3 of 20 test cases with the skill, and 3 of 20 without it.
1 fixed3 passed either way19 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
Calculate the standard linear regression equation for Pinus taeda height growth against annual precipitation using our single-species pine forestry dataset.
| Checked | Without skill | With skill |
|---|---|---|
| Calculates the linear regression formula directly in the response | Missed | Passed |
| Refrains from spawning a subagent for this single-species calculation | Passed | Passed |
The instructions your model reads when the skill loads.
Extract ecosystem-level organization patterns.
Subagent — spawned via subagent-spawning/spawn-agent skill.
Ecosystem pattern extraction requires understanding complex multi-species interactions, emergent properties, and system-level dynamics. Benefits from dedicated systems-thinking attention.
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 3 / 20 without
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