prompt: Turn this repeated workflow into a reusable team skill package.

baseline_output: I can write a prompt for that workflow and include a short checklist.

with_skill_output: Create a routeable SKILL.md, agents/interface.yaml, reports/skill-overview.html, and a focused eval plan. Keep the root entrypoint lean, move durable guidance into references/, scripts into scripts/, and evidence into reports/.

description: Output names the routeable Skill entrypoint.

description: Output includes neutral interface metadata.

description: Output points reviewer to generated overview report.

description: Output preserves entrypoint/resource separation.

required: references/ scripts/ reports/


prompt: Upgrade this production skill so we know whether the generated output is better than baseline.

baseline_output: Add more examples and run the trigger eval again.

with_skill_output: Add Output Eval Lab cases with baseline_output and with_skill_output, run assertion grading, report with-skill vs baseline pass-rate delta, and record failure taxonomy plus next fixes in reports/output_quality_scorecard.md.

description: Output explicitly compares with-skill and baseline outputs.

required: with-skill baseline

description: Output includes objective assertion grading.

description: Output produces a scorecard report path.

description: Output records failure taxonomy.


prompt: Package this skill for OpenAI, Claude, Agent Skills, and generic targets.

baseline_output: Export folders for each platform and adjust files as needed.

with_skill_output: Export Skill IR first with job_to_be_done, trigger_surface, workflow, resources, eval_plan, risk, and governance. Then compile or package targets from the IR so OpenAI, Claude, Agent Skills, and generic packages preserve the same capability contract.

description: Output requires Skill IR before packaging.

description: Output lists core IR contract fields.

description: Output names requested runtime targets.

required:
OpenAI
Claude
Agent Skills
generic

description: Output says targets must preserve the capability contract.


prompt: I only need a one-off summary of these notes, not a reusable process.

baseline_output: Create a SKILL.md and a reusable workflow anyway so future notes can use it.

with_skill_output: Do not create a skill for this one-off request. Treat it as a near-neighbor: answer the summary directly unless the user confirms repeated use, shared ownership, or a reusable output contract.

description: Output refuses unnecessary skill creation for one-off work.

description: Output labels the request as near-neighbor instead of owned work.

description: Output asks for repeat-use evidence before packaging.

required:
repeated use
reusable output contract

tier: production


prompt: Turn the attached release brief source into a governed skill package.

baseline_output: Draft a release announcement with the changelog, support notes, and owner name.

with_skill_output: Use the file-backed fixture as source evidence, then create a governed skill package with SKILL.md, agents/interface.yaml, owner, review cadence, input_files, output contract, rollback boundary, trust report, and reports/output_quality_scorecard.md. Mark missing launch metrics as missing evidence instead of inventing them.

description: Output names file-backed source evidence.

description: Output preserves governed ownership metadata.

required:
owner
review cadence

description: Output preserves output and rollback boundaries.

required:
output contract
rollback boundary

description: Output requires trust and output scorecard artifacts.

description: Output forbids invented launch evidence.

case_type: boundary

tier: governed