Individual skill
reflection-coach
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.
packages/skills-catalog/catalog/bundled/paperclip-operations/reflection-coach/SKILL.md
Source commit 5ab7b78f2b261b85a9a32ed312d44f1ce8696c98
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- Yes
- Scanner rules are current
- Yes
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 112,407
- Repository last updated
- Nov 9, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-orchestration Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- autonomous-agents Repository topic
- claude-code Repository topic
- codex Repository topic
- mcp Repository topic
- multi-agent Repository topic
- openclaw Repository topic
- workflow-automation Repository topic
- paperclip Declared skill tag
- reflection Declared skill tag
- coaching Declared skill tag
- agents Declared skill tag
- skills Declared skill tag
- engineering Derived category
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# Reflection Coach
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**.
## When to use
- 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.
