code-review
Comprehensive parallel code review using 5 specialized subagents: general, architectural, TypeScript, product/vision, and TDD/beads compliance
development-loop
Complete development lifecycle: brainstorm → TDD planning → ralph implementation → review → feedback loop until approved
requesting-code-review
Use when completing tasks, implementing major features, or before merging to verify work meets requirements - dispatches superpowers:code-reviewer subagent to review implementation against plan or requirements before proceeding
receiving-code-review
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
subagent-driven-development
Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
requesting-code-review
Use when completing tasks, implementing major features, or before merging to verify work meets requirements - dispatches superpowers:code-reviewer subagent to review implementation against plan or requirements before proceeding
coding-best-practices
Reviews Swift/iOS code for adherence to modern Swift idioms, Apple platform best practices, architecture patterns, and code quality standards. Use when user mentions best practices, code review, clean code, refactoring, or wants to improve code quality.
secure-flow
A comprehensive security skill that integrates with Secure Flow to help AI coding agents write secure code, perform security reviews, and implement security best practices. Use this skill when writing, reviewing, or modifying code to ensure secure-by-default practices are followed.
ccpm-code-review
Enforces quality verification gates with four-step validation (tests pass, build succeeds, checklist complete, no blockers) before task completion, PR creation, or status updates. Auto-activates when user says "done", "complete", "finished", "ready to merge", or runs /ccpm:verify or /ccpm:done commands. Provides systematic verification workflow that prevents false completion claims and ensures production readiness. Blocks external system writes (Jira, Slack) until evidence collected. Integrates with external-system-safety for confirmation workflow. When verification fails, suggests /ccpm:verify to debug issues systematically.
github-pr-workflow
Working with GitHub Pull Requests using the gh CLI. Use for fetching PR details, review comments, CI status, and understanding the difference between PR-level comments vs inline code review comments.
code-review-playbook
Use this skill when conducting or improving code reviews. Provides structured review processes, conventional comments patterns, language-specific checklists, and feedback templates. Ensures consistent, constructive, and thorough code reviews across teams.
receive-feedback
Process external code review feedback with technical rigor. Use when receiving feedback from another LLM, human reviewer, or CI tool. Verifies claims before implementing, tracks disposition.
deepagents-code-review
Reviews Deep Agents code for bugs, anti-patterns, and improvements. Use when reviewing code that uses create_deep_agent, backends, subagents, middleware, or human-in-the-loop patterns. Catches common configuration and usage mistakes.
wish-ssh-code-review
Reviews Wish SSH server code for proper middleware, session handling, and security patterns. Use when reviewing SSH server code using charmbracelet/wish.
review-feedback-schema
Schema for tracking code review outcomes to enable feedback-driven skill improvement. Use when logging review results or analyzing review quality.
python-code-review
Reviews Python code for type safety, async patterns, error handling, and common mistakes. Use when reviewing .py files, checking type hints, async/await usage, or exception handling.
go-testing-code-review
Reviews Go test code for proper table-driven tests, assertions, and coverage patterns. Use when reviewing *_test.go files.
langgraph-code-review
Reviews LangGraph code for bugs, anti-patterns, and improvements. Use when reviewing code that uses StateGraph, nodes, edges, checkpointing, or other LangGraph features. Catches common mistakes in state management, graph structure, and async patterns.
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