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。
Authoritative reference for Anthropic products. Use when users ask about product capabilities, access, installation, pricing, limits, or features. Provides source-backed answers to prevent hallucinations about...
Router for audio domain including playback, analysis, and audio-reactive visuals. Use when implementing any audio functionality including music, sound effects, visualizers, or audio-driven animations. Routes to...
Master router for immersive visual experiences combining React Three Fiber, shaders, particles, post-processing, GSAP animation, and audio. Use when building 3D web experiences, visualizers, creative coding pro...
Multi-perspective decision support using three AI agents (Scientist, Mother, Realist). Use when facing difficult decisions, trade-offs, comparing alternatives, choosing between options, or when unsure which app...
OpenAI Codex CLIを使用したコードレビュー、分析、コードベースへの質問を実行する。使用場面: (1) コードレビュー依頼時、(2) コードベース全体の分析、(3) 実装に関する質問、(4) バグの調査、(5) リファクタリング提案、(6...
Professional translation expert covering techniques, cultural adaptation, and language pair strategies
Language learning expert with proven methods for acquiring multiple languages efficiently and effectively
Database expert for query optimization, indexing, schema design, and performance tuning
Use when planning, scaffolding, validating, or packaging Claude skills inside Advanced Memory MCP.
Expert in Japanese honorific language covering 尊敬語・謙譲語・丁寧語 with deep understanding of situational usage, business contexts, and cultural nuances
French language expert for grammar, pronunciation, conversation, and cultural fluency
Discover new Runware AI models from documentation and implement providers. Use when: checking for new Runware models, implementing Runware providers, updating providers.md status, or working with Runware API in...
Discover and implement EachLabs AI providers. Use when: checking for new EachLabs models, implementing EachLabs providers, updating providers.md status, or working with EachLabs API integrations.
Document chunking strategies for RAG systems. Use when implementing document processing pipelines to determine optimal chunking approaches based on document type and retrieval requirements.
Generate agent-ready prompts from existing task specification files. Use when regenerating prompts after editing tasks, updating prompt templates, or preparing tasks for cpo execution.
Create a new Claude Code agent skill with proper folder structure and SKILL.md format. Use when the user wants to add a model-invoked skill that Claude uses autonomously based on context. Handles skill folder c...
Execute multiple Claude Code agents in parallel using the cpo CLI tool. Use when running parallel tasks, monitoring execution, or understanding the execution workflow.
Orchestrate parallel development with multiple Claude Code agents from PRD specs. Use when asked to parallelize development, break down a PRD into agent tasks, coordinate multi-agent workflows, or scale develop...
Create a new Claude Code agent with proper YAML frontmatter structure. Use when the user wants to add a specialized agent to a plugin. Handles agent file creation with name, description, tools, model selection,...
Reference for configuring tool permissions when launching Claude Code agents. Use when setting up --allowedTools flags, restricting file access, or configuring agent permissions.
Set up and configure MCP (Model Context Protocol) servers with Claude Code. Use when the user wants to connect Claude Code to external tools, databases, APIs, or services via MCP. Handles HTTP, SSE, and stdio s...
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt temp...
Resources for conversational interviews to create learner profiles. Used by project-interviewer agent during /init.
Domain-specific configuration profiles for learning resource creation. Defines search strategies, special fields, terminology policies, and content structures for different academic domains: technology, history...
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。