pipeline
Complete project generation pipeline with Task tool multi-agent orchestration. Requirements -> Design -> Tasks -> Project -> Implementation.
发现 testing security llm ai 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Complete project generation pipeline with Task tool multi-agent orchestration. Requirements -> Design -> Tasks -> Project -> Implementation.
AIDA - Multi-agent project generation with auto-init and full pipeline execution. Generate a complete project using multi-agent orchestration with TDD and quality gates. Enforces strict quality requirements via...
Generate structured requirements from natural language. No API key required - uses Claude Code OAuth.
AIDA pipeline orchestration with Task tool multi-agent delegation. Manages 5-phase workflow with Leader/Player subagents.
Show AI design patterns project health, track completion status, coordinate agent activities, and suggest intelligent next priority actions
Guide through updating AI design patterns with comprehensive checklist completion, code examples, images, documentation, and interactive demos
Generate project-level AGENTS.md guides that capture conventions, workflows, and required follow-up tasks. Use when a repository needs clear agent onboarding covering structure, tooling, testing, task flow, REA...
Generate complete, production-ready MCP (Model Context Protocol) servers with automatic setup, configuration, and Claude Code integration
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications.
Create useful, informative summaries of technologies or concepts that are readable in depth and have a digestable summary at the top.
Build custom slash commands in Claude Code with YAML frontmatter, permissions, and best practices. Use when creating automation workflows, project-specific commands, or standardizing repetitive tasks.
Build event-driven hooks in Claude Code for validation, setup, and automation. Use when you need to validate inputs, check environment state, or automate tasks at specific lifecycle events.
Review AI prompts and instructions for conciseness and clarity. Use when reviewing skills, CLAUDE.md, slash commands, or any LLM prompt content.
A meta-skill for documenting and creating reusable skills for Claude Code agents. Use when you discover a technique, pattern, or workflow worth documenting for reuse across projects.
Create native Claude Code hooks in ~/.claude/hooks/. Use when adding event-triggered automation (PreToolUse, PostToolUse, Stop, etc.).
Create custom Task subagents in ~/.claude/agents/. Use when defining new agents for Task tool delegation.
Create slash commands for user-initiated workflows. Use when building repeatable /name commands for Claude Code.
Route tasks to optimal LLM provider (Gemini, Codex, Copilot, Claude)
Create skills that extend Claude with specialized knowledge and workflows. Use when Claude needs to learn a methodology or approach.
Store universal coding patterns and insights into file-based memory. Use after completing difficult tasks with broadly-applicable lessons that work across ANY project. Use when user says "--coder-store" or "--l...
Retrieve project-specific insights from file-based memory. Use when working on features, encountering domain-specific questions, or user says "--project-recall" or "--recall" (you decide which scope, may use bo...
Retrieve universal coding patterns from file-based memory. Use when starting complex tasks, encountering unfamiliar problems, or user says "--coder-recall" or "--recall" (you decide which scope, may use both)....
Retrieve universal coding patterns from vector database. Use when starting complex tasks, encountering unfamiliar problems, or user says "--coder-recall" or "--recall" (you decide which scope, may use both). Sk...
Store project-specific insights and context into file-based memory. Use after completing tasks that reveal important details about THIS codebase. Use when user says "--project-store" or "--learn" (you decide wh...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。