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Structured data extraction from deep-read papers — produces comparison tables (method, dataset, metrics, results, limitations). Used by systematic-survey and deep-survey.
Passed 2 of 14 test cases with the skill, and 2 of 14 without it.
0 fixed4 passed either way19 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
The instructions your model reads when the skill loads.
Pull structured facts from paper full text into comparison tables.
Subagent — spawned via subagent-spawning/spawn-agent skill.
Data extraction requires careful, systematic reading of multiple full papers simultaneously to ensure consistent extraction across all entries. Dedicated context prevents extraction drift.
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 2 / 14 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.