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Found 7,265 Skills
A complete software development workflow for supercharging agentic coding. Use for EVERY coding task, planning session, or when starting a new project.
Agno AI agent framework. Use for building multi-agent systems, AgentOS runtime, MCP server integration, and agentic AI development.
Creates, updates, and manages Agent Skills following the Claude Code style. Use this skill when the user wants to add a new capability, create a new skill, or modify an existing skill.
작업을 마무리하는 스킬. 테스트 확인, 커밋/PR, worktree 정리와 함께 5개의 전문 에이전트로 세션 인사이트를 추출합니다.
Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only — never executes the task itself. TRIGGER when: user says "optimize prompt", "improve my prompt", "how to write a prompt for", "help me prompt", "rewrite this prompt", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: "优化prompt", "改进prompt", "怎么写prompt", "帮我优化这个指令". DO NOT TRIGGER when: user wants the task executed directly, or says "just do it" / "直接做". DO NOT TRIGGER when user says "优化代码", "优化性能", "optimize performance", "optimize this code" — those are refactoring/performance tasks, not prompt optimization.
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.
Opinionated, evolving constraints to guide agents when building interfaces
This skill should be used when the user asks to "create a PRD for Replit", "write product requirements", "document app specifications", "prepare a product spec", or needs a comprehensive specification document that Replit Agent can use for complex, multi-feature applications. Creates structured PRDs optimized for AI-powered development.
Guides the design and structuring of workflow-based Claude Code skills with multi-step phases, decision trees, subagent delegation, and progressive disclosure. Use when creating skills that involve sequential pipelines, routing patterns, safety gates, task tracking, phased execution, or any multi-step workflow. Also applies when reviewing or refactoring existing workflow skills for quality.
AI's Knowledge Base CLI - Query and manage world knowledge for AI agents. Use when users want to search knowledge, add knowledge sources, or interact with the worldbook knowledge base. This is a CLI-first approach that treats AI agents as first-class citizens.
Create AiderDesk Agent Skills by writing SKILL.md files, defining frontmatter metadata, structuring references, and organizing skill directories. Use when building a new skill, creating a SKILL.md, planning skill architecture, or writing skill content.
Reusable template for authoring new Agent Skills with clear triggers, workflow, and I/O contracts.