design-task 是做什麼的？
CrewAI 任務設計與配置。用於建立、設定或除錯 CrewAI 任務 — 編寫描述與預期輸出、透過上下文設定任務相依性、配置輸出格式（output_pydantic、output_json、output_file）、使用護欄進行驗證、啟用人機互動、非同步執行、Markdown 格式化，或處理任務執行問題。
設計與配置 CrewAI 任務。用於建立、設定或除錯 CrewAI 任務，包含編寫描述與預期輸出、透過上下文設定任務相依性、配置輸出格式（output_pydantic、output_json、output_file）、使用護欄進行驗證、啟用人機互動、非同步執行、Markdown 格式化，或處理任務執行問題。
此技能專門用於設計與配置 CrewAI 任務，涵蓋從任務建立到除錯的完整流程。它能協助開發者編寫任務描述（description）與預期輸出（expected_output），設定任務間的相依性（context），並支援多種輸出格式，如 Pydantic 模型（output_pydantic）、JSON（output_json）或檔案（output_file）。此外，還提供進階功能，例如使用護欄（guardrails）進行輸出驗證、啟用人機互動（human_input）、非同步執行（async execution）以及 Markdown 格式化。此技能適用於需要精確定義和除錯 CrewAI 任務的任何場景，無論是簡單的問答任務還是複雜的多步驟工作流程。支援的主要平台包括 Claude Code、Cursor 和 Codex 等 AI 代理工具，透過詳細的配置選項和範例，協助使用者避免常見陷阱並最佳化任務執行。
npx skills add https://github.com/crewaiinc/skills/tree/main/skills/design-taskCrewAI 任務設計與配置。用於建立、設定或除錯 CrewAI 任務 — 編寫描述與預期輸出、透過上下文設定任務相依性、配置輸出格式（output_pydantic、output_json、output_file）、使用護欄進行驗證、啟用人機互動、非同步執行、Markdown 格式化，或處理任務執行問題。
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.
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".