ask-docs 是做什么的？
查询官方 CrewAI 文档以获取答案。当用户的问题超出入门指南、设计代理、设计任务等技能的覆盖范围时使用——例如特定 API 细节、配置选项、高级功能、错误排查、企业特性、工具参考等，最新文档是最佳权威信息来源。
查询官方 CrewAI 文档以获取答案。当用户的问题超出入门指南、设计代理、设计任务等技能的覆盖范围时使用——例如特定 API 细节、配置选项、高级功能、错误排查、企业特性、工具参考等，最新文档是最佳权威信息来源。
此技能允许用户通过查询官方 CrewAI 文档来获取准确的答案。它特别适用于那些无法通过其他基础技能（如入门指南、设计代理、设计任务）完全覆盖的问题，例如具体的 API 调用细节、复杂的配置选项、高级功能使用方法、错误排查步骤、企业级特性以及工具参考。该技能通过直接访问官方最新的文档资源，确保回答的时效性和准确性，避免了因依赖过时或二手信息而导致的错误。它支持多种平台，包括 Claude Code、Cursor 和 Codex，为用户提供了一种高效、可靠的方式来解决 CrewAI 相关问题。通过利用这一技能，开发者可以快速找到所需信息，节省手动搜索的时间，并提高问题解决的效率。
npx skills add https://github.com/crewaiinc/skills/tree/main/skills/ask-docs查询官方 CrewAI 文档以获取答案。当用户的问题超出入门指南、设计代理、设计任务等技能的覆盖范围时使用——例如特定 API 细节、配置选项、高级功能、错误排查、企业特性、工具参考等，最新文档是最佳权威信息来源。
This repo contains 3 individual skills — each has its own dedicated page.
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 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.
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.
ElevenLabs text-to-speech with mac-style say UX.
Oracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.
Capture and automate macOS UI with the Peekaboo CLI.
Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".
Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".