crewai-skills

Plugin crewai-skills from marketplace crewai-plugins in crewAIInc/skills. Commands read from the repo's manifest — 1 month ago.

Skills (10)

• ask-docs

  Query the official CrewAI documentation for answers. Use when the user has a CrewAI question that isn't fully covered by the getting-started, design-agent, design-task skills — e.g., specific API details, configuration options, advanced features, troubleshooting errors, enterprise features, tool ref

• build-flow

  Building CrewAI Flows on crewai 1.15.x: structured (Pydantic) vs dict state and state.id, @start/@listen/@router wiring, or_/and_ semantics, router labels vs method names, @persist (correct import, where it stores state, restore_from_state_id), checkpointing with CheckpointConfig, @human_feedback an

• call-deployed-crew

  Calling a crew or flow deployed on CrewAI AMP over HTTP: the bearer token and deployment URL, GET /inputs, POST /kickoff with the {\"inputs\": {...}} body, which input keys are required ({placeholder} tokens), polling GET /status/{kickoff_id} with a deadline and backoff, terminal states and where th

• check-crewai-api

  Current crewai 1.15.x API versus the 0.x API that coding assistants remember: imports, Agent/Task/Crew parameters and defaults, kickoff variants, CrewOutput fields, LLM model strings and provider extras, structured output (output_pydantic, response_model, response_format), guardrails, unified Memory

• connect-tools-and-mcp

  Giving crewAI agents tools and MCP servers on crewai 1.15.x: custom BaseTool with args_schema and @tool, which crewai_tools names really exist, tool caching, max_usage_count, ToolFailure, Agent(mcps=[...]) string and MCPServerStdio/HTTP/SSE forms, rewritten MCP tool names, MCPServerAdapter, timeouts

• deploy-to-amp

  Getting a CrewAI crew or flow onto CrewAI AMP: the project shape the build expects (uv.lock, [tool.crewai] type, src/<pkg>/ entry points, a real Flow subclass, absolute imports, a self-contained root), `crewai deploy validate`, the three deploy paths (CLI create/push, GitHub, ZIP upload) and what ea

• design-agent

  CrewAI agent design and configuration. Use when creating, configuring, or debugging crewAI agents — choosing role/goal/backstory, selecting LLMs, assigning tools, tuning max_iter/max_rpm/max_execution_time, enabling planning/delegation, setting up knowledge sources, using guardrails, or configuring

• design-task

  CrewAI task design and configuration. Use when creating, configuring, or debugging crewAI tasks — writing descriptions and expected_output, setting up task dependencies with context, configuring output formats (output_pydantic, output_json, output_file), using guardrails for validation, enabling hum

• getting-started

  CrewAI architecture decisions and project scaffolding. Use when starting a new crewAI project, choosing between LLM.call() vs Agent.kickoff() vs Crew.kickoff() vs Flow, scaffolding with 'crewai create flow', setting up YAML config (agents.yaml, tasks.yaml), wiring @CrewBase crew.py, writing Flow mai

• test-crewai-project

  Deterministic, offline testing of CrewAI crews and flows with pytest: a stub BaseLLM (shipped in references/stub_llm.py) that drives text, structured output and tool calls with no API key, asserting on the prompts crewai built, testing guardrails and flow routing, what `crewai test` really does, eve