model-switcher
タスクの複雑さに応じて Claude のモデルを自動的に切り替える。複雑なタスク(アーキテクチャ設計、大規模リファクタリング、難解なバグ修正)では opus を、単純なタスク(小さな修正、フォーマット、簡単な質問)では sonne...
发现 documentation 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。
タスクの複雑さに応じて Claude のモデルを自動的に切り替える。複雑なタスク(アーキテクチャ設計、大規模リファクタリング、難解なバグ修正)では opus を、単純なタスク(小さな修正、フォーマット、簡単な質問)では sonne...
プラグインに新しいサブエージェントを作成する。「サブエージェント作成」「新しいエージェント」「エージェントを作って」「エージェント追加」「subagent 作成」「エージェントを追加したい」「新規エージェント」などで起...
AI-powered intelligence for building Stacks blockchain applications with 40 production code examples
Generate and edit images using Google Gemini or OpenAI GPT Image models. Automatically used for requests like "generate an image", "create an illustration", "edit this image". Also supports sticker sheet genera...
Use Google Gemini API for text generation, multimodal analysis, image generation (Nano Banana), function calling, and search grounding. Invoke when user wants to use Gemini, ask Gemini, generate images with Gem...
Analyze propositions from multiple expert perspectives. Dynamically generates 4-6 relevant expert roles, then performs validation, comprehensive analysis, or debate-style examination. Use when user wants to exa...
Generate text embeddings using Google Gemini API for RAG, semantic similarity, classification, and clustering tasks. Invoke when user wants to embed text, create embeddings, or convert text to vectors with Gemi...
OpenAI SDK development with GPT-5 family, Chat Completions, Responses API, embeddings, and tool calling. Use for AI-powered applications, chatbots, agents, and semantic search.
LangGraph development for stateful multi-agent applications, cyclic workflows, conditional routing, human-in-the-loop patterns, and persistent state management. Use for complex AI orchestration, agent coordinat...
Weaviate vector database for semantic search, hybrid queries, and AI-native applications. Use for embeddings storage, similarity search, RAG pipelines, and multi-modal retrieval.
Claude SDK development with Messages API, Tool Use, Extended Thinking, streaming, and prompt caching
Perplexity Sonar API development with search-augmented generation, real-time web search, citations, and OpenAI-compatible Chat Completions. Use for AI-powered applications requiring up-to-date information, rese...
Git-native session lifecycle management for software development. Use when starting/resuming coding sessions, creating checkpoints, tracking objectives and blockers, generating handoffs between sessions, or nee...
Enables autonomous context management for codebases through claude.md files. Use when creating, maintaining, or synchronizing AI agent context. Provides tools and workflows for monitoring context health, detect...
Externalize detailed memory to Memory Bank before conversation summarization to prevent context loss. Triggers: CP, checkpoint, save, 存檔, 記一下, 保存, sync memory, dump, 先記著, 等一下, 要離開, 暫停, pause,...
Build production-ready MCP clients in TypeScript or Python. Handles connection lifecycle, transport abstraction, tool orchestration, security, and error handling. Use for integrating LLM applications with MCP s...
Use when user asks to build a feature, implement something new, or make significant code changes. Recognizes requests like "build", "implement", "create a new feature", "add functionality", "develop", "I need t...
INVOKE for debugging and step-by-step problem solving. Produces visible reasoning trace with each step shown. Use when tracing logic, explaining reasoning, or debugging issues. Triggers: debugging, tracing exec...
Create detailed implementation plans through interactive research. Use when in plan mode or when creating technical specifications.
INVOKE for calculations and data processing. Produces executable code instead of mental math. Use when precision matters or numbers are complex. Triggers: calculations, numerical analysis, data transformations,...
INVOKE for verification and high-stakes decisions. Produces multiple independent reasoning paths with consensus check. Use before finalizing critical work. Triggers: verification, double-checking, validating ap...
INVOKE for research tasks and multi-source understanding. Produces visible dependency graphs and contracted answers. Use during research phase of workflow. Triggers: researching topics, gathering information be...
INVOKE when multiple approaches exist and exploration is valuable. Produces visible branching with evaluation and recommendation. Use before implementation when comparing options. Triggers: comparing approaches...
Message formatting conventions and channel routing for agent-chat coordination
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。