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ClawIndex

OpenClaw Skills & Use Case Index

ClawIndex is an ecosystem-driven index of OpenClaw skills and real-world use cases.

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Skills tagged: Agents

Browse skills that share this tag.

  • knowledge-organization-strategy - Choose Skills, Agents, or Patterns for Knowledge
    knowledge organizationSkillsAgentsPatterns

    ★ 4 · Updated 2026-10-07

    Provides criteria for choosing Skills, Agents, or Patterns to organize knowledge in the ADLC platform and guidance for migration strategies.

    ⚙ Compare Skills, Agents, and Patterns⚙ Select knowledge organization approaches⚙ Assess workflow and expertise needs
  • dspy - Declarative LM programming and prompt optimization
    Prompt EngineeringDSPyDeclarative ProgrammingRAG

    ★ 1 · Updated 2026-09-30

    Build declarative LM programs, optimize prompts with data, and create RAG systems, agents, and classifiers.

    ⚙ Define task signatures⚙ Compose reusable modules⚙ Generate reasoning steps
  • dspy - Build and optimize AI systems with DSPy
    Prompt EngineeringDSPyDeclarative ProgrammingRAG

    ★ 0 · Updated 2026-09-30

    Build declarative AI systems with DSPy, including modular pipelines, RAG systems, agents, and automatically optimized prompts.

    ⚙ Build declarative LM programs⚙ Define task signatures⚙ Compose modular pipelines
  • dspy - Declarative LM Programs and Prompt Optimization
    DSPyPrompt EngineeringDeclarative ProgrammingRAG

    ★ 2 · Updated 2026-09-30

    Build declarative language-model programs, optimize prompts with data, and create RAG systems, agents, or classifiers.

    ⚙ Define task signatures⚙ Compose reusable modules⚙ Generate reasoning steps
  • anthropic-architect - Choose an Anthropic architecture for your project
    AnthropicarchitectureSkillsAgents

    ★ 650 · Updated 2026-09-29

    Analyzes project requirements and recommends combinations of Skills, Agents, Prompts, and SDK primitives.

    ⚙ Analyze project requirements⚙ Recommend Anthropic architectures⚙ Apply decision rubrics
  • dspy - Declarative language model programming with DSPy
    Prompt EngineeringDSPyDeclarative ProgrammingRAG

    ★ 0 · Updated 2026-09-29

    Build modular language-model programs, optimize prompts with data, and create RAG systems, agents, or classifiers.

    ⚙ Build modular LM programs⚙ Define task signatures⚙ Generate reasoning steps
  • dspy - Build and optimize declarative LM programs
    Prompt engineeringDSPyDeclarative programmingRAG

    ★ 1 · Updated 2026-09-29

    Defines modular language-model programs, generates answers, retrieves context, and automatically optimizes prompts with data-driven methods.

    ⚙ Define task signatures⚙ Compose modular pipelines⚙ Generate reasoning steps
  • llamaindex - Build RAG Applications with LlamaIndex
    AgentsLlamaIndexRAGDocument Ingestion

    ★ 0 · Updated 2026-09-29

    Ingest documents, build indexes, retrieve relevant content, and query private data for RAG applications.

    ⚙ Ingest documents⚙ Build vector indices⚙ Query indexed data
  • llamaindex - Build RAG applications with LlamaIndex
    RAGDocument ingestionVector indexingQuery engines

    ★ 60 · Updated 2026-09-28

    Build LLM applications that ingest documents, create indexes, retrieve knowledge, answer questions, and use agents or multimodal data.

    ⚙ Ingest documents⚙ Create vector indexes⚙ Query indexed data
  • azure-ai-projects-py - Build AI apps with Azure Foundry SDK
    AzureAIFoundrySDK

    ★ 650 · Updated 2026-05-11

    Build AI applications on Microsoft Foundry using azure-ai-projects SDK

    ⚙ create agent⚙ create agent version⚙ create thread