Install any skill in seconds. Free to start, no credit card required.
Get Started Free →yogsoth-ai/abstraction-extraction
Extract abstract principles from concrete domain cases. Strips domain-specific details to reveal transferable mechanisms.
Passed 7 of 23 test cases with the skill, and 5 of 23 without it.
2 fixed5 passed either way16 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
When extracting abstract domain structures across multiple engineering case studies, why should execution be handled in an isolated context rather than inline in the primary conversational turn?
| Checked | Without skill | With skill |
|---|---|---|
| The response states that layered reasoning requires dedicated context to prevent premature abstraction. | Missed | Passed |
The instructions your model reads when the skill loads.
Extract abstract principles from concrete domain cases.
Subagent — spawned via subagent-spawning/spawn-agent skill.
Abstraction requires careful layered reasoning — moving from concrete details through functional description to pure relational structure. Benefits from dedicated attention to avoid premature abstraction or under-abstraction.
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 / 23 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.