원클릭으로
post-branch-update
Update rules and skills after a branch completes — absorb learnings, update patterns
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
Update rules and skills after a branch completes — absorb learnings, update patterns
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | post-branch-update |
| description | Update rules and skills after a branch completes — absorb learnings, update patterns |
| paths | PLAN.md,**/BRANCH.md,rules/** |
| allowed-tools | Read Write Edit Bash Grep Glob |
Run this after a branch is merged to keep rules/ and skills/ current.
git log main~10..main --oneline --stat | head -60
rules/api-services.mdrules/ui-components.mdrules/extensions.mdrules/schema-migrations.mdrules/test-patterns.mdrules/workflow.md or rules/MASTER.mdprovider-cascade skillnew-e2e or test-patterns rulerules/MASTER.md must stay < 100 lines (always loaded)paths:donegit add rules/ .claude/skills/ PLAN.md && git commit -m "chore: post-branch rules update after <branch-name>"
Use when bringing the harness method to a NEW or non-sentropic repo — maps the repo's conventions into a harness profile so the same scope/branch/verify kernel applies anywhere.
Use before any creative/design work (a feature, a package, an evolution) — explores intent and design via the spec-ladder with multi-peer adversarial review BEFORE implementation.
Use on any bug, test failure, or unexpected behaviour BEFORE proposing a fix — runs the generic evidence-first root-cause loop.
Use when you have a spec/decisions and need an executable plan — writes a lot-based BRANCH.md from the template and completes with track for realization state.
Use when completing a feature, a design step, or before merging — runs a ≥2-peer consensus review and reconciles the findings, instead of a single rubber-stamp pass.
Use when adding or evolving tests for a feature/bugfix — applies the sentropic test-pyramid, scoped-test loop, environment isolation, and AI-flaky policy.