chatgpt-report-normalisation
Recover a ChatGPT- or LLM-exported report from markdown, DOCX, and PDF copies into clean repo-quality markdown with real links, stripped artefacts, inline footnotes, and a dated accuracy sweep of unstable claims.
- License 许可
- MIT
- 最近更新
- 2026-11-11
- Stars
- ★ 0
- Forks
- 4
01 前言 Front Matter
- name
- chatgpt-report-normalisation
- description
- Recover a ChatGPT- or LLM-exported report from markdown, DOCX, and PDF copies into clean repo-quality markdown with real links, stripped artefacts, inline footnotes, and a dated accuracy sweep of unstable claims.
03 SKILL.md 正文
Read and follow .agent/skills/chatgpt-report-normalisation/SKILL.md.
04 同仓库更多 Skills
tsdoc
Write code-adjacent API documentation and the matching durable doc updates.
systematic-debugging
Structured debugging workflow. Use when encountering bugs, test failures, or unexpected behaviour. Reproduce, isolate, hypothesise, verify, fix, regression test.
start-right-thorough
Thorough grounding — full directive read, metacognition, and execution outline.
start-right-quick
Quick grounding at session start — read directives, memory, and check practice box.
receiving-code-review
How to process code review feedback effectively. Understand before acting, verify suggestions technically, ask for clarification when needed. Complements the reviewer sub-agents.
napkin
Maintain a per-repo napkin file at .agent/memory/napkin.md that tracks mistakes, corrections, and what works. Always active, every session, unconditionally. Read distilled.md and napkin.md before doing anything. Write to the napkin continuously as you work. Log your own mistakes, not just user corrections.