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curiositech/windags-skills

Meta-代理,用於建立新的自訂代理、技能和 MCP 整合。擅長代理設計、MCP 開發、技能架構和快速原型製作。請在 'create agent', 'new skill', 'MCP server', 'custom tool', 'agent design' 等情況下啟動。請勿用於使用現有代理(請直接呼叫)、一般性編碼(請使用語言專用技能)或基礎設施設定(請使用 deployment-engineer)。

windags-skills 是什麼?

Agent Creator 是一個專門的 meta-agent,旨在簡化建立專業化 AI 代理、自訂技能和 MCP 整合的流程。它能將高階需求轉化為結構完善、功能齊全且文件齊全的代理系統。此技能支援透過一系列定義明確的步驟進行快速原型製作:分析需求、設計角色特徵、對應能力、選擇最佳模板,以及編寫專業知識。它與 @modelcontextprotocol 生態系工具(如 SDK)無縫整合,可建立自訂 MCP 伺服器。Agent Creator 提供多種代理模板,涵蓋技術專家、創意設計與協調者角色,確保在不同應用場景中都能提供專精且實用的結果。其工作流程力求在約 45 分鐘內產出高品質的代理,同時也提供重要的反模式指南,協助避免常見的陷阱,例如資訊傾倒或角色設定模糊。

相容平台✓Claude Code~Codex CLI~Cursor
npx skills add https://github.com/curiositech/windags-skills/tree/HEAD/skills/agent-creator

在你喜歡的 AI 中提問

開啟一個已預先載入此 Agent Skill 的新對話。

說明文件

Agent 建立器

專注於建立新的自訂代理、技能和 MCP 整合的 Meta-agent。能將需求轉化為功能完整、文件齊全的代理系統。

快速入門

使用者:「建立一個用於資料庫最佳化的代理」

Agent Creator:
1. 分析需求(領域、使用者、問題、範圍)
2. 設計角色特徵(資深 DBA,20 年經驗)
3. 對應能力(EXPLAIN 分析、索引、查詢重寫)
4. 選擇模板(技術專家)
5. 編碼專業知識(反模式、技術、範例)
6. 新增 MCP 工具(可選:SQL 解析器)
7. 撰寫使用說明與限制

結果:約 45 分鐘即可產出可供正式環境使用的代理

核心能力

1. 代理設計與架構

  • 具有獨特風格的角色特徵開發
  • 技能定義與範圍管理
  • 互動模式設計
  • 專業知識編碼以達到最佳檢索效果

2. MCP 整合

  • 通訊協定理解與伺服器開發
  • 資源管理與 API 設計
  • 持久化代理的狀態管理

3. 技能框架設計

  • 漸進式揭露(輕量元資料,依需求提供詳細資訊)
  • 可組合性與模組化
  • 清晰的文件

代理模板

模板最適用於關鍵元素
技術專家領域專家問題解決框架、程式碼範例、最佳實踐
創意/設計創意角色設計理念、創意流程、品質標準
協調者協調工作委派策略、整合模式、品質保證

快速原型製作工作流程

步驟時間活動
1. 理解需求2 分鐘缺少哪些能力?
2. 設計角色特徵3 分鐘哪位專家能解決此問題?
3. 對應知識10 分鐘他們需要知道什麼?
4. 建立結構5 分鐘按照模板組織
5. 新增範例10 分鐘具體、可執行的程式碼
6. 撰寫文件5 分鐘如何使用
7. 測試與改善10 分鐘透過查詢驗證

總計:建立高品質代理約需 45 分鐘

MCP 伺服器建立

官方套件:

  • @modelcontextprotocol/sdk - 核心 TypeScript SDK
  • @modelcontextprotocol/create-server - 快速建立新伺服器
  • @modelcontextprotocol/inspector - 測試與除錯

建立步驟:

  1. 定義功能(輸入、輸出、目的)
  2. 設計介面(乾淨的工具結構描述)
  3. 實作核心邏輯
  4. 包裝為 MCP 伺服器

品質檢查清單

專業知識

  • 明確的領域邊界
  • 具體、可操作的指導
  • 真實世界的範例
  • 涵蓋常見陷阱

可用性

  • 明確的任務陳述
  • 易於瀏覽的結構
  • 具體的程式碼範例

整合性

  • 可獨立運作
  • 可與其他代理結合
  • 清晰的輸入/輸出格式

使用時機

適用於:

  • 建立新的領域專家代理
  • 為自訂功能建立 MCP 伺服器
  • 設計技能架構
  • AI 能力的快速原型製作

請勿用於:

  • 使用現有代理(請直接呼叫)
  • 一般性編碼任務(請使用語言專用技能)
  • 基礎設施設定(請使用 deployment-engineer)
  • 修改 Claude 的核心行為

反模式

反模式:知識傾倒

特徵:將整份文件直接貼入代理 為何錯誤:資訊過載、檢索效果差、上下文過於龐大 建議做法:精選必要知識,使用漸進式揭露

反模式:角色特徵模糊

特徵:「你是一位專家助理」 為何錯誤:缺乏個性,輸出內容過於泛泛 建議做法:明確的角色、年資、溝通風格

反模式:範圍不明

特徵:代理試圖處理所有事情 為何錯誤:樣樣通,樣樣鬆 建議做法:明確邊界,並提供重新導向的建議

反模式:沒有範例

特徵:只有抽象描述而無程式碼 為何錯誤:使用者無法了解如何應用指導 建議做法:針對關鍵模式提供具體、可執行的範例

參考檔案

  • references/agent-templates.md - 技術、創意、協調者模板
  • references/mcp-integration.md - MCP 伺服器建立模式、SDK 使用方式
  • references/creation-process.md - 端到端工作流程、品質檢查清單

核心洞見:優秀的代理不是知識的傾倒,而是經過精心設計的專家系統,具備個性、實用指導以及真實世界的適用性。

可搭配使用:skill-coach(品質審查)| skill-documentarian(文件撰寫)| orchestrator(多代理設計)

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

curiositech/windags-skills

Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-reactive visuals, and psychedelic generative art. Activate on "Milkdrop", "music visualization", "WebGL visualizer", "Butterchurn", "audio reactive", "FFT visualization", "spectrum analyzer". NOT for simple bar charts/waveforms (use basic canvas), video editing, or non-audio visuals.

curiositech/windags-skills

Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.

curiositech/windags-skills

Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).

curiositech/windags-skills

Implement WCAG 2.2 AA/AAA compliance with automated testing, keyboard navigation, screen reader support, and focus management. Activate on: accessibility audit, WCAG compliance, keyboard navigation, screen reader, aria attributes, axe-core, focus trap. NOT for: design-level accessibility review (use design-accessibility-auditor), color contrast only (use css-in-js-architect).

curiositech/windags-skills

Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.

curiositech/windags-skills

Designs digital experiences for ADHD brains using neuroscience research and UX principles. Expert in reducing cognitive load, time blindness solutions, dopamine-driven engagement, and compassionate design patterns. Activate on 'ADHD design', 'cognitive load', 'accessibility', 'neurodivergent UX', 'time blindness', 'dopamine-driven', 'executive function'. NOT for general accessibility (WCAG only), neurotypical UX design, or simple UI styling without ADHD context.

curiositech/windags-skills

>- Apply crisis decision-making research to agent routing, uncertainty triage, and coordination failure analysis in time-pressured systems. Use when diagnosing handoff failures, analytical paralysis, or expert judgment under incomplete information. NOT for routine coding, simple CRUD design, or static single-agent tasks with complete information.

curiositech/windags-skills

Extend and modify the admin dashboard, developer portal, and operations console. Use when adding new admin tabs, metrics, monitoring features, or internal tools. Activates for dashboard development, analytics, user management, and internal tooling.

curiositech/windags-skills

Conversation patterns and interaction protocols for multi-agent systems. Covers request/response, pub/sub, blackboard, delegation chains, debate, critique, consensus, fan-out/fan-in, supervisor-worker, and peer negotiation. Deep analysis of AutoGen conversation patterns, CrewAI delegation, LangGraph state passing, and FIPA-ACL performatives. Teaches how to design what agents say to each other and in what order. Activate on: "agent conversation", "agent protocol", "multi-agent debate", "agent delegation", "supervisor worker pattern", "agent voting", "consensus protocol", "fan-out fan-in", "agent negotiation", "blackboard pattern", "agent dialogue", "conversation topology", "agent handoff". NOT for: wire format or serialization (use agent-interchange-formats), orchestration infrastructure (use agentic-infrastructure-2026), single agent behavior (use agentic-patterns).

curiositech/windags-skills

AI-powered calendar management and agent-based scheduling coordination. Covers calendar APIs (Google Calendar, CalDAV/iCal), AI scheduling assistants (Reclaim, Clockwise, Motion, Cal.com), building custom calendar agents with MCP, multi-calendar merging, timezone management, focus block protection, meeting fatigue detection, and agent-to-agent meeting negotiation protocols. Activate on: "calendar agent", "AI scheduling", "calendar coordination", "meeting scheduling", "calendar API", "focus time protection", "calendar optimization", "Google Calendar MCP", "Reclaim", "Clockwise", "Motion", "Cal.com", "smart scheduling", "calendar-aware agent", "timezone scheduling", "agent negotiation meetings". NOT for: manual calendar UI component design (use form-validation-architect), project management scheduling or Gantt charts (use project-management-guru-adhd), general time-tracking or pomodoro apps (use adhd-daily-planner for time-awareness), building the agent itself from scratch (use agent-creator).

curiositech/windags-skills

Build and adopt production AI agent infrastructure in 2026. Covers framework selection (LangGraph, CrewAI, AutoGen, MCP), orchestration patterns, evaluation, observability, memory systems, and tool use. Also covers the SOCIAL dimension: how to sell agent infrastructure internally, change management, measuring ROI, building trust in autonomous systems, and scaling adoption across teams. Activate on: "agent infrastructure", "agent framework comparison", "which agent framework", "sell AI tools internally", "agent adoption", "agent observability", "agent evaluation", "MCP architecture", "agentic mesh", "enterprise AI agents", "AI change management", "agent ROI". NOT for: building specific agents (use ai-engineer), designing agent behavior patterns (use agentic-patterns), prompt tuning (use prompt-engineer).

curiositech/windags-skills

Fundamental patterns for effective agentic behavior. Teaches decomposition, tool orchestration, error recovery, context management, quality self-assessment, and knowing when to stop. Model-agnostic principles that make any agent more effective regardless of domain. Activate on: "how should I structure this agent", "agentic workflow", "agent patterns", "multi-step task", "tool orchestration", "/agentic-patterns", "decompose this", "agent best practices", "chain of actions", "when should the agent stop", "agent loop design". NOT for: creating agent infrastructure (use agent-creator), building DAGs (use windags-architect), specific tool implementation.

curiositech/windags-skills

Automated discovery and matching of agent skills for dynamic task routing and capability assessment

curiositech/windags-skills

Cryptographic security for agentic systems — zero-trust agent networking, signed message envelopes (JWS/JWE), capability-based security (ocaps), Merkle tree audit trails, WASM sandboxing, and formal verification. Covers CLI dev tool security, mTLS between agents, permission boundaries (least privilege for AI agents), and supply chain security for skills/plugins. Activate on: "agent security", "zero trust agents", "secure agent communication", "capability-based security", "ocap", "signed messages between agents", "agent audit trail", "sandbox agent execution", "agent permissions", "mTLS agents", "cryptographic verification", "agent supply chain", "OWASP agentic", "prove agent did X", "tamper-proof agent logs". NOT for: application-level SAST scanning (use security-auditor), network firewall rules (use infrastructure), SOC2/HIPAA compliance (organizational), or prompt injection defense (use prompt-engineer).

curiositech/windags-skills

Data structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context windows as data structures. Deep comparison of A2A protocol, MCP, OpenAI function calling, and LangChain message types. Teaches when to use rigid schemas vs free-form with validation, typed vs untyped, streaming vs batch. Activate on: "agent message format", "agent communication schema", "agent-to-agent protocol", "A2A protocol", "MCP message format", "structured output for agents", "agent interop", "interchange format", "agent serialization", "task handoff format", "capability declaration". NOT for: what agents say to each other (use agent-conversation-protocols), orchestration topology (use multi-agent-coordination), building agent infrastructure (use agentic-infrastructure-2026).

curiositech/windags-skills

Logic-based agent programming language implementing BDI architecture for practical autonomous agent development

curiositech/windags-skills

>- Design AgentSpeak(L)-style BDI agents with context-guarded plans, selection functions, and intention stacks. Use for interruptible autonomy, agent policy, and multi-agent orchestration in dynamic environments. NOT for simple rule engines, static planners, or centralized workflows.

curiositech/windags-skills

Foundational concurrent computation model where actors communicate exclusively through asynchronous message passing

curiositech/windags-skills

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.

curiositech/windags-skills

license: Apache-2.0 NOT for unrelated tasks outside this domain.

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