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Get Started Free →yogsoth-ai/generate-candidate-fields
Propose 3-8 candidate research fields based on the full ActorProfile. When user wants to explore beyond their current stack, use other ActorProfile signals (intentionality, boundary) to determine exploration space. Free exploration within the boundary.
Passed 12 of 22 test cases with the skill, and 7 of 22 without it.
and 3 more in the full report
5 fixed7 passed either way10 still failing0 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.
ActorProfile: Theoretical physicist specializing in quantum optics. Intention: Desires to move into applied satellite communications or space tech. Suggest candidate research fields.
| Checked | Without skill | With skill |
|---|---|---|
| Incorporates candidate fields aligning with space tech intentionality beyond direct quantum optics skill matches. | Passed | Passed |
| Provides exactly one rationale line per suggested research field. | Missed | Passed |
The instructions your model reads when the skill loads.
Generate candidate research fields for the user to explore.
Subagent — spawned via subagent-spawning/spawn-agent skill.
ActorProfile (full, as formatted text).
3-8 candidate fields, each with a one-line rationale for why this user could enter it.
When user wants to explore beyond their current stack, use boundary + intentionality to determine the exploration space. Don't limit to skills-only matching.
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 7 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.