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。
Use this skill when creating next-generation autopoietic Claude skills with enhanced Git-brain integration, adaptive error healing, and emergent pattern recognition. Self-improved version that learned from v1's...
Proactive software design guidance for architecture, interfaces, and implementation planning. Use this skill when helping users make design decisions before or during implementation—planning features, designing...
Multi-phase brainstorming for complex feature implementations using parallel sub-tasks. Use when the user asks to brainstorm, design, or plan a complex feature, wants to explore implementation approaches, or ne...
Build React chat interfaces with Vercel AI SDK v6. Covers useChat/useCompletion/useObject hooks, message parts structure, tool approval workflows, and 12 UI error solutions. Use when: implementing AI chat UIs,...
Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.
PM workflow orchestrator. Analyzes user requests and automatically runs the optimal agent chain.
Develop Python scripts and modules for building AI workflows and integrations. Use when coding data ingestion, transformation, analysis, and automation pipelines in pilot projects requiring Python automation.
n8n workflow automation knowledge base. Provides n8n node information, node functionality details, workflow patterns, and configuration examples. Covers triggers, data transformation, data input/output, AI inte...
Iterative AI development loops - start, monitor, review, and iterate on tasks using the Ralph Wiggum technique with Kiro CLI - use only when explicitly requested by the user
Run code snippets in 30+ programming languages including JavaScript, Python, TypeScript, Java, C, C++, Go, Rust, Ruby, PHP, and more. Use when the user wants to execute code, test algorithms, verify output, run...
AI エージェント向けヘッドレスブラウザ自動化 CLI。Web ページのナビゲーション、フォーム入力、スクリーンショット撮影、データ抽出などを実行。Web 操作が必要な場合は最優先で使用すること。
Collaborative document creation workflow. Structured approach cho writing proposals, reports, documentation với human-AI collaboration hiệu quả.
Orchestrate a virtual game jam competition with multiple AI teams building games in parallel from a shared brief.
Specialized instructions for building high-quality, reusable agent skills following the Vercel/Agentic standards. Use this when creating new skills or documentation for the agent.
Creates structured implementation plans before building skills or features. Use when starting a new skill, planning an improvement, or formalizing a build approach. Trigger with "plan this skill", "create a pla...
Socratic questioning protocol + user communication. MANDATORY for complex requests, new features, or unclear requirements. Includes progress reporting and error handling.
advanced logic and problem-solving strategies for Gemini. Use this for complex math, multi-step reasoning, or deep analysis tasks where standard prompting fails.
Expert guidance for creating, writing, building, and refining Agent Skills. Use when working with SKILL.md files, authoring new skills, improving existing skills, or understanding skill structure and best pract...
LangGraph skill for building stateful agent graphs, subgraphs, checkpoints, conditional flows, parallel execution, streaming, and multi-agent orchestration.
A definitive guide to implementing the OpenAI ChatKit UI, ensuring seamless connection to backend Agents and correct rendering of streaming events.
Deep exploration and analysis mode for understanding requirements before implementation. Use when the user wants to plan a feature, asks you to explore before implementing, or says they want to discuss requirem...
Create effective Claude Code skills and agents. Covers official frontmatter spec, global vs project scope, and the formula - references activate dormant knowledge, pet hates stop bad defaults, post-training fil...
Go Echo framework skill with documentation, guides, and examples
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search in FastAPI backends. Use when implementing knowledge-grounded AI, building document Q&A systems,...
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。