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 human_input, async execution, markdown formatting, or debugging task execution issues.
npx skills add https://github.com/crewaiinc/skills/tree/main/skills/design-taskCrewAI 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 human_input, async execution, markdown formatting, or debugging task execution issues.
This repo contains 3 individual skills — each has its own dedicated page.
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 references, or anything where the latest docs are the best source of truth.
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/code execution/delegation, setting up knowledge sources, using guardrails, or configuring agents in YAML vs code.
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 main.py with @start/@listen, or using {variable} interpolation.
Rasputin Omnitool: OpenClaw skill bundle with planner/executor/reviewer agent loop and 12 tools (research, browser, sandbox, multimedia). Manus-equivalent agent built from OSS.
A Claude skill based on Cole Nussbaumer Knaflic's Storytelling with Data - governs chart creation, code generation, visual critique, and narrative structure for data presentations.
OpenPawlet (PyPI package name open-pawlet) is a single-process web console for the OpenPawlet ecosystem. It exposes an HTTP API, a browser UI, an OpenAI-compatible /v1/* surface and the embedded agent runtime
Open-source starter kit for an agent-ready Markdown vault with AGENTS.md, templates, skills, logs, and file-safe AI workflows.
TheColliery -- quality tooling for AI coding agents. Holds the series landing page, the shared doctrine (Phoenix-13 hooks + Quantum-11), the one-step DLC installer, and the suite benchmarks.
Annotate and review coding agent plans and code diffs visually, share with your team, send feedback to agents with one click.