brainstorm
Use when starting from rough ideas - refines concepts into executable specifications through collaborative questioning, alternative exploration, and incremental validation, use this skill when called from a com...
Découvrez les skills testing security llm ai, comparez leurs dépôts et consultez leurs instructions.
Use when starting from rough ideas - refines concepts into executable specifications through collaborative questioning, alternative exploration, and incremental validation, use this skill when called from a com...
Transforms technical documents into adaptive learning sessions with just-in-time prerequisite assessment, foundation building via web search, and verified understanding through quizzes and exercises. Use when u...
A guide to creating Claude Code Skills.
Analyze and optimize skill frontmatter for reliable automatic invocation. Use this skill when: (1) improving an existing skill's description for better triggering, (2) diagnosing why a skill isn't being invoked...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
专业的LangGraph AI应用开发技能,提供从概念到生产的完整开发指导。基于Context7最新调研,涵盖StateGraph设计、多代理协作、RAG系统实现、生产部署等核心场景。使用此技能构建有状态、多参与者、长期运行的AI代理应用。
Execute WASM-based skills mounted to virtual paths. Use this skill when the user requests skill execution such as "Execute the RAG skill", "Run the analytics skill", or "Call the skill at this path".
Use this skill when asked to create, refine, analyze, or optimize prompts for Large Language Models (LLMs). This skill ensures adherence to prompt engineering best practices and enforces a rigorous design workf...
Prompt engineering expert that helps users craft optimized prompts using 57 proven frameworks. Use when users want to optimize prompts, improve AI instructions, create better prompts for specific tasks, or need...
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The reference framework to generate, compile, and lint greenfield prompts that conform to the Agnostic Prompt Standard (APS) v1.0.
Add a new AI provider to agentconfig.org's comparison system. Use when integrating a new coding assistant (e.g., Cursor, Claude Desktop, GitHub Copilot alternative) with proper type system updates, implementati...
AI collaboration workflow plugin - Implements automated collaborative development process between Claude and Copilot through structured 5-stage workflow
Expert technical writer for Logseq Template Graph project. Generates comprehensive, accurate, and well-structured documentation for modules, features, guides, and APIs. Activates when asked to "write docs", "do...
AI-powered media production pipeline using Nano Banana Pro (images), KLING AI (video/transitions), and ElevenLabs (voiceover). Use when creating video content, product demos, social media assets, or any multime...
Summarize conversation to start a new one
Autonomous iteration execution guide for PRP Ralph loops. Use when .claude/prp-ralph.state.md exists, when continuing Ralph iterations, or when executing plans autonomously until all validations pass. Provides...
Comprehensive LLM audit. Model currency, prompt quality, evals, observability, CI/CD. Ensures all LLM-powered features follow best practices and are properly instrumented. Auto-invoke when: model names/version...
Create and manage reusable agent skills with proper structure and frontmatter
Standardized reference documentation section structure for agents - project guidance, conventions, related agents, and Skills. Use when implementing or updating agent documentation.
AI agent development standards including frontmatter structure, naming conventions, tool access patterns, model selection, and Bash-only file operations for .opencode/ folders
Workflow pattern standards for creating multi-agent orchestrations including YAML frontmatter (name, description, tags, status, agents, parameters), execution phases (sequential/parallel/conditional), agent coo...
Workflow pattern standards for creating multi-agent orchestrations including YAML frontmatter (name, description, tags, status, agents, parameters), execution phases (sequential/parallel/conditional), agent coo...
Guidance for selecting appropriate AI model (sonnet vs haiku) based on task complexity, reasoning requirements, and performance needs. Use when implementing agents or justifying model selection.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.