Individual skill
codex-retrospective
Use when you want Codex to review its own recent history (last N days or specific period) and improve its behavior. Produces minimal, high-signal updates to AGENTS.md and tiny reusable skills. The goal is long-term fluency — Codex gradually becomes better at your specific style, constraints, and workflows.
skills/codex-retrospective/SKILL.md
Source commit 238e07625aeca5bcf0d6f7cb3e2d07f94c717194
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 290
- Repository last updated
- Nov 4, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- ai-coding-assistant Repository topic
- claude Repository topic
- claude-code Repository topic
- developer-tools Repository topic
- productivity Repository topic
- automation Repository topic
- agent-skills Repository topic
- code-review Repository topic
- prompt-engineering Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 6,305 bytesreferences/agents-md-update-rules.mddoc · 1,446 bytesreferences/examples/good-retrospective-output.mddoc · 2,270 bytesreferences/minimal-skill-criteria.mddoc · 2,000 bytesreferences/retrospective-prompt.mddoc · 3,356 bytes
Read excerpt
# Codex Retrospective
A structured self-improvement loop for Codex.
This skill turns Codex from a one-off collaborator into a system that **gets meaningfully better at working with you** over time by systematically eating its own usage history.
## Why This Exists
Most people improve their agent usage by manually maintaining `AGENTS.md` or skills when they notice problems. This skill makes that process deliberate, regular, and high-leverage.
It is directly inspired by strong practices from heavy users (especially Greg Brockman's emphasis on updating the "constitution" from real failures and friction), but executed as a repeatable arsenal-style workflow.
## Core Principle