chunking-strategies
Document chunking strategies for RAG systems. Use when implementing document processing pipelines to determine optimal chunking approaches based on document type and retrieval requirements.
发现 tools 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。
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...
Gemini API documentation lookup and reference
Generate summaries of documents, code, and conversations. Use for documentation, reports, and content condensation.
Sequential thinking and structured problem solving. Break down complex problems into steps with revision and branching capabilities. Use for multi-step analysis, planning, and hypothesis verification.
Run headless AI CLIs (Claude Code, Gemini, OpenAI Codex, Cursor Agent, GitHub Copilot) to rate an assistant response against a rubric and return actionable feedback plus a rewritten improved response; use for r...
AI-assisted SSH operations with Gemini
Google Gemini API integration and model orchestration
Converts MCP servers to Claude Skills with 90%+ context savings using progressive disclosure pattern. Supports automatic detection and on-demand conversion.
Generates architecture, database, and system diagrams using Mermaid syntax. Creates visual representations of system architecture, database schemas, component relationships, and data flows.
Run headless AI CLIs (Claude Code `claude`, Google `gemini`, optionally GitHub `copilot`) to rate an assistant response against a rubric and return actionable feedback plus a rewritten improved response; use fo...
Create, validate, install, convert, port, and manage Claude Code skills. Use when users want to create a new skill, validate existing skills, install from GitHub, list skills, convert MCP servers to skills, or...
AI art generation and image manipulation
Semantic tool search with embeddings for scalable tool discovery. Enables on-demand tool loading to reduce context usage by 90%+ for large tool libraries.
Publish and share Claude Artifacts with Projects, Cursor, and downstream agents. Use when a user wants to "save", "share", or "finalize" a generated artifact.
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。