From whip
Creates .whip/lesson-learn markdown files documenting whip runs: user prompts, AI decisions/executions, IRC coordination highlights, outcomes, and lessons learned.
How this skill is triggered — by the user, by Claude, or both
Slash command
/whip:whip-lesson-learnThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use this skill when the user wants to turn a real `whip` run into a reusable case study, lesson learned, postmortem, or discussion draft.
Use this skill when the user wants to turn a real whip run into a reusable case study, lesson learned, postmortem, or discussion draft.
Create or update a markdown file at:
.whip/lesson-learn/<file-name>.md
After writing it, tell the user:
$whip-plan, $whip-start, URLs, branch names, and issue numbers..whip/lesson-learn/.YYYY-MM-DD-<short-case-name>.md.Use these sections, translated into the chosen output language:
Used tools / 사용한 도구Actual user prompts / 실제 유저가 쳤던 프롬프트What the AI judged and executed / AI 가 판단하고 실행한 영역What actually happened / 실제로 진행한 방향IRC coordination highlights / IRC 로 실제로 중요했던 대화Results and lessons learned / 결과와 레슨런If IRC did not matter for the case, omit section 5.
#123 issue and PR references, not backticked issue numbers, when GitHub linking is useful..whip/lesson-learn/ file first, then adapt from there.## Used tools
- ...
## Actual user prompts
> ...
## What the AI judged and executed
- ...
## What actually happened
### 1. ...
- ...
## IRC coordination highlights
- ...
## Results and lessons learned
### Final result
- ...
### Lessons learned
- ...
npx claudepluginhub bang9/ai-tools --plugin whipExtracts learnings from the current conversation and appends them to the project's CLAUDE.md as generalized rules. Captures non-obvious solutions and workarounds.
Captures learnings from completed development sessions into reusable knowledge files organized by pattern, pitfall, decision, tool insight, and process improvement.
Captures structured lessons learned entries for organizational memory after incidents, completed projects, or significant learnings to preserve knowledge for future teams.