sharpen
Sharpen a task before starting: the expert approach, what the user is really after, and the right level of specification. Use for /sharpen.
- License 许可
- MIT
- 最近更新
- 2026-10-23
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01 前言 Front Matter
- name
- sharpen
- description
- Sharpen a task before starting: the expert approach, what the user is really after, and the right level of specification. Use for /sharpen.
- disable-model-invocation
- true
02 资源文件 2
- 参考文档agents/openai.yaml43 B
- 许可证LICENSE1.0 KB
03 SKILL.md 正文
Before starting, ask how a top expert would approach this task (their raw sources, their real methods, an outside check that the result is right), what the user is really after, and whether the task is over- or underspecified. Loosen constraints that don't serve the goal as readily as you add ones that do, and leave choices that are the user's to make open instead of deciding them. Fold in only what makes the work better, not bigger, but always keep one outside check that the result is right, without narrating the framing, then do the work.
04 同仓库更多 Skills
sample-skill
暂无简介
synthetic-review-candidate
Candidate for smoke testing an evaluation runner only.
synthetic-review-baseline
Baseline for smoke testing an evaluation runner only.
review
Run the existing user-invoked review bundle and independently adjudicate its findings.
review-adjudication
Verify generated or human review findings before fixing, defending, replying, resolving, or reusing them as learned guidance. Use within a review, review-comment fix, monitor, or readiness workflow.
monitor-mr
Monitor review findings and CI using the shared adjudication procedure.