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Found 183 Skills
Testing strategies for LangChain4j-powered applications. Mock LLM responses, test retrieval chains, and validate AI workflows. Use when testing AI-powered features reliably.
Use when working with context management context save
Extract decisions and learnings from Claude session transcripts. Triggers: "extract learnings", "process pending", SessionStart hook.
Guide users to define requirements through multi-round conversations, reference existing Dify cases, and generate workflow DSL YAML configurations that can be directly imported into Dify
Build and orchestrate multi-step AI workflows combining multiple EachLabs models. Create custom pipelines, trigger executions, and manage workflow versions. Use when the user needs to chain multiple AI models or automate multi-step content creation.
Spawn a new Claude Code session in a separate terminal to work on a different task, optionally with context from the current session. Use when you need to work on something else without losing your current progress.
Use this skill to create investor pitch decks, partnership presentations, or business proposals. Triggers: "pitch deck", "investor deck", "fundraising presentation", "startup pitch", "investor presentation", "VC pitch", "seed deck", "series A deck", "business proposal", "partnership pitch", "sales deck", "demo day" Outputs: Structured slide content, talking points, and optional generated visuals.
Planning agent that creates implementation plans and handoffs from conversation context
Analyze images using Gemini's vision capabilities. Use for image analysis, text extraction from screenshots, and visual content understanding.
Share Claude Code sessions between developers. Use when user mentions "share session", "export session", "import session", "send session to", "continue from colleague", or needs to (1) export current session to file, (2) import session from another developer, (3) hand off work context. Enables private, secure session transfer via direct file sharing.
Use when "CrewAI", "multi-agent systems", "agent orchestration", "AI crews", or asking about "autonomous agents", "agent collaboration", "role-based agents", "agent workflows", "AI team coordination"
문제를 분석하여 Agent Teams를 자동 구성하고, 4가지 조율 패턴(distribute/monitor/discourse/sequence) 중 최적 패턴으로 협업한다. "/teams {문제 설명}"으로 호출한다.