Use Gentle AI harness discipline for Pi work: clarify first, track ODD work, use applicable test-first development by default, delegate when useful, and protect review workload.
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Design docs that reduce cognitive load. Trigger: writing guides, READMEs, RFCs, onboarding, architecture, or review-facing docs.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Load this skill when creating or editing documentation that people need to understand quickly, retain, or use during review.
Use it especially for:
| Pattern | Rule |
|---|---|
| Lead with the answer | Put the decision, action, or outcome first. Context comes after. |
| Progressive disclosure | Start with the happy path, then add details, edge cases, and references. |
| Chunking | Group related information into small sections. Keep flat lists short. |
| Signposting | Use headings, labels, callouts, and summaries so readers know where they are. |
| Recognition over recall | Prefer tables, checklists, examples, and templates over prose that must be remembered. |
| Review empathy | Design docs so reviewers can verify intent without reconstructing the whole story. |
Use this default structure unless the repo already provides a stronger template:
# <Outcome-oriented title>
<One paragraph: what changed, who it helps, and why it matters.>
## Quick path
1. <First action>
2. <Second action>
3. <Verification or expected result>
## Details
| Topic | Decision |
|-------|----------|
| <area> | <concise explanation> |
## Checklist
- [ ] <Reader can confirm this>
- [ ] <Reader can confirm that>
## Next step
<Link or action that continues the workflow.>
When documenting a PR, reduce reviewer burnout by making the review path explicit:
# Check markdown files changed in the current branch
git diff --name-only -- '*.md'
# Inspect PR changed-line count for cognitive load
gh pr view <PR_NUMBER> --json additions,deletions,changedFiles
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Use Gentle AI harness discipline for Pi work: clarify first, track ODD work, use applicable test-first development by default, delegate when useful, and protect review workload.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create Gentle AI pull requests with issue-first checks. Trigger: creating, opening, or preparing PRs for review.
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Trigger: PRs over 400 lines, stacked PRs, review slices. Split oversized changes into chained PRs that protect review focus.
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Write warm, direct collaboration comments. Trigger: PR feedback, issue replies, reviews, Slack messages, or GitHub comments.
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Create and triage GitHub issues from repository evidence. Trigger: issue creation, bug reports, feature requests, or issue approval.
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Trigger: judgment day, judgement day, dual review, adversarial review, juzgar. Run explicit blind dual review with at most two scoped fix/re-judgment rounds.
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