Pre-gate self-check for drift detection and philosophy alignment. Use when: preparing for human gate review, checking implementation quality, or detecting scope drift.
Iterative implementation loop with review checkpoints. Use for multi-step tasks that benefit from chunked execution and verification. Adapts to project-specific conventions via .ralph.md guidance file.
Set aligned, measurable OKRs/goals and produce an OKR & Goals Pack (objectives, key results, anti-gaming guardrails, systems/habits, review cadence, grading plan).
Guide for simplifying and refining code after coding sessions. Use when cleaning up complex code, reviewing PRs for readability, or applying consistent refactoring patterns.
Write effective blameless postmortems with root cause analysis, timelines, and action items. Use when conducting incident reviews, writing postmortem documents, or improving incident response processes.
Write effective blameless postmortems with root cause analysis, timelines, and action items. Use when conducting incident reviews, writing postmortem documents, or improving incident response processes.
Write effective blameless postmortems with root cause analysis, timelines, and action items. Use when conducting incident reviews, writing postmortem documents, or improving incident response processes.
Write effective blameless postmortems with root cause analysis, timelines, and action items. Use when conducting incident reviews, writing postmortem documents, or improving incident response processes.
Create a Delegation Pack (delegation brief, decision rights, context handoff, check-in cadence, review plan, debrief). Use for delegation, letting go, empowering reports, and avoiding micromanagement.
Memory sidecar for agent work: recall before tasks, record learnings after tasks, review recommendations, optional backport bundles.
After-Action Review—structured debrief asking what was expected, what happened, why the difference, and what next. Use after projects, launches, presentations, or any significant event.
Repo Updater - Multi-repo synchronization with AI-assisted review orchestration. Parallel sync, agent-sweep for dirty repos, ntm integration, git plumbing. 17K LOC Bash CLI.
Repo Updater - Multi-repo synchronization with AI-assisted review orchestration. Parallel sync, agent-sweep for dirty repos, ntm integration, git plumbing. 17K LOC Bash CLI.
Invoke the 'opencode' CLI in headless mode for AI-powered code analysis, reviews, and second opinions. Use when you need a different AI perspective, the user mentions opencode, or requests batch...
Skill for acting as a rigorous, constructive, and analytical partner for code generation, review, and improvement in software projects. Provides counterarguments, identifies issues, and ensures...
Pack entire codebases into AI-friendly files for LLM analysis. Use when consolidating code for AI review, generating codebase summaries, or preparing context for ChatGPT, Claude, or other AI tools.
Analyze, consolidate, and document codebases through multi-perspective analysis. Use when reviewing project structure, planning refactoring, creating documentation, or assessing technical debt.
AI가 만든 모든 코드 변경사항을 reviews 폴더에 기록하고 간단한 HTML 뷰어로 웹 브라우저에서 실시간 확인할 수 있습니다. 매 수정마다 문서가 생성되고 Python 서버로 즉시 확인 가능합니다.
App Store optimization skills for descriptions, screenshots, keywords, and review responses. Use when user needs help with App Store presence, ASO, or customer communication.
Creates micro-chunked implementation plans stored in .claude/plans/[feature-name]/ - breaks large features into 2-3 task chunks (300-500 tokens) optimized for subagent execution and human review