superpowers-lab
Experimental Claude Code skills extending capabilities with new techniques for interactive CLI tools, tmux automation, and advanced workflows.
Discover development automation tools skills, compare source repositories and read the instructions for each workflow.
Experimental Claude Code skills extending capabilities with new techniques for interactive CLI tools, tmux automation, and advanced workflows.
Intelligent pattern selection for Fabric CLI. Automatically selects the right pattern from 242+ specialized prompts based on your intent - threat modeling, analysis, summarization, content creation, extraction,...
Generate structured planning documentation for web projects with context-safe phases, verification criteria, and exit conditions. Creates IMPLEMENTATION_PHASES.md plus conditional docs (DATABASE_SCHEMA, API_END...
Automated contract verification, detection, and remediation across multiple languages using formal preconditions, postconditions, and invariants. This skill provides both reference documentation AND execution c...
Run Semgrep static analysis scans and create custom detection rules. Use when asked to scan code with Semgrep, find security vulnerabilities, write custom YAML rules, or detect specific bug patterns.
Automatically generate minor release notes based on the PRs merged into this branch since the last version.
Generate git commit messages and help with git workflows
Build frameworks from scattered insights across all braindumps and notes
Code review checkpoint using codex review CLI. Returns structured result with pass/fail status and issues. Use when: 'code review', 'review changes', 'codex review', 'check my code'.
Docs/changelog checkpoint. Detects whether changes are user-facing and ensures documentation hygiene (CHANGELOG + lessons-learned) is handled or explicitly bypassed. Use when: 'docs check', 'changelog', 'releas...
语法感知的代码搜索、linting 和重写工具。支持基于 AST 的结构化代码搜索和批量代码转换。
Use this skill when conducting or improving code reviews. Provides structured review processes, conventional comments patterns, language-specific checklists, and feedback templates. Ensures consistent, construc...
Documentation quality validator for Logseq Template Graph. Checks documentation completeness, accuracy, formatting, links, and consistency. Activates when asked to "validate docs", "check documentation", "audit...
Auto-invoke when reviewing README files, JSDoc comments, or inline documentation. Enforces "WHY not WHAT" principle.
Git worktree workflow, conventional commits, commit trailers, and PR guidelines. Activated during git operations and commits.
Clean code principles adapted for TypeScript-first, functional development.
Remove telltale signs of AI-generated 'slop' writing from README files and documentation. Make your docs sound authentically human.
Automated code review analyzing security, performance, maintainability, and test coverage. Activated during code reviews or when conducting analysis.
Automatically activated when user works with Jest tests, mentions Jest configuration, asks about Jest matchers/mocks, or has files matching *.test.js, *.test.ts, jest.config.*. Provides Jest-specific expertise...
Use when reviewing code, PRs, or discussing code quality standards. Applies team coding standards and review methodology.
Claude Code hook system for pre/post tool execution. Triggers on: hooks, PreToolUse, PostToolUse, hook script, tool validation, audit logging.
Generates weekly code-review digest docs from PR review comments for any GitHub repository. If present, follows project-specific docs/review-digests/AGENTS.md guidelines. Use this to turn a date-bounded set of...
This skill should be used when the user asks to "generate repository documentation", "create a README", "document API", "write architecture docs", "add CONTRIBUTING guide", "update repo docs", "document codebas...
Complete feature development lifecycle from research to deployment. Uses Gemini Search for best practices, architecture design, Codex prototyping, comprehensive testing, and documentation generation. Full 12-st...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.