reflection-coach
反思另一智能体近期执行记录,提出最小且持久有效的指令、技能或工具说明变更。用于有证据支持的辅导建议,绝不热替换。
译文已校对查看英文原文
Reflect on another agent's recent execution record and propose the smallest durable instruction, skill, or tool-description change. Use for evidence-backed coaching proposals, never hot-swaps.
适用对象:对象待分类。自动收录 · 待核查。
原作者说明节选
从固定版本的 SKILL.md 提取,保留原文语言。以下内容属于作者说明,本站尚未验证安装、兼容或运行结果。
查看英文原文
原文涵盖的主题
- Reflection Coach
- When to use
- When not to use
- Inputs
- Hard guardrails
- Procedure
- 1) Confirm target and scope
- 2) Pull the recent record
You are coaching another agent. You are not that agent. Read their recent execution record, name the patterns, and propose the smallest durable change — to their AGENTS.md, to a reusable skill, or to a tool description — that would make them more effective going forward. This skill runs on a target agent and produces a reviewable proposal. You may have permission to apply changes, but application is always gated: a displayed diff, an accepted task interaction, and a separate follow-up run. You never propose and apply in the same run. Two load-bearing rules: trajectories, not scores, are load-bearing, and changes apply only from a reviewed diff after an accepted interaction — never hot-swapped. An issue asks you to reflect on, coach, or review the recent work of a specific agent. A routine (e.g. recent-agent-reflection) hands you a bounded set of agents to review. Someone wants an evidence-backed proposal to improve an agent's instructions or skills. The target agent id is your own. Refuse — no self-reflection. You are asked to rewrite product code or shared infra. That is out of scope. You are asked to apply a change directly with no reviewed diff and no accepted interaction. Refus
这里只展示节选,请以完整原文和当前要求为准。
- 来源仓库
- paperclipai/paperclip
- 源文件
- packages/skills-catalog/catalog/bundled/paperclip-operations/reflection-coach/SKILL.md
- 固定版本
- 1ca3e8ea2a759e511ab2d2659339c6c770a7a2ba
来源与内容状态
本条为自动发现的元数据,尚未完成人工文档核查;适用性与运行结果待核查。
原作者:paperclipai/paperclip · 原作者仓库元数据。文档核查:未核查。最近来源检查:2026-11-10T02:01:27.379Z。
分类由名称、说明与路径规则生成,分类不代表已核实适配。
许可与权利归属
MIT。第三方内容及版权归原作者,使用条件以原文为准。
许可原文 ↗本站没有因同步、复制或用户自报成功而将资源标为运行验证通过。
限制与注意事项
- 元数据收录不代表本站已经安装、适配、实测或进行安全审查。