Individual skill
to-spec
Turn the current conversation into a spec and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed.
eval/archives/grill-test-20261013/application/skills/to-spec/SKILL.md
Source commit 1fb0f070582714f8dd36cd01b7681a8aa0310942
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- Yes
- Scanner rules are current
- Yes
- Repository scan complete
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- Yes
- Observed behavior
- Instructions only
- Last checked
- Nov 6, 2026
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- 3,280
- Repository last updated
- Nov 7, 2026
- License
- MIT
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- ai Repository topic
- harness-engineering Repository topic
- sdd Repository topic
- skills Repository topic
- spec Repository topic
- eval Repository topic
- skill-creator Repository topic
- phase-guarded Repository topic
- loop-engineering Repository topic
- engineering Derived category
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SKILL.mdcore · 3,110 bytesagents/openai.yamlasset · 140 bytes
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This skill takes the current conversation context and codebase understanding and produces a spec. Do NOT interview the user — just synthesize what you already know.
The issue tracker and triage label vocabulary should have been provided to you — run `/setup-matt-pocock-skills` if not.
## Process
1. Explore the repo to understand the current state of the codebase, if you haven't already. Use the project's domain glossary vocabulary throughout the spec, and respect any ADRs in the area you're touching.
2. Sketch out the seams at which you're going to test the feature. Existing seams should be preferred to new ones. Use the highest seam possible. If new seams are needed, propose them at the highest point you can. The fewer seams across the codebase, the better - the ideal number is one.
Check with the user that these seams match their expectations.
3. Write the spec using the template below, then publish it to the project issue tracker. Apply the `ready-for-agent` triage label - no need for additional triage.