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Agent Skills

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blueprint-feature-tracker-sync

Synchronize feature tracker with TODO.md and PRDs, manage tasks

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blueprint-feature-tracker-status

Display feature tracker statistics and completion summary

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blueprint-execute

Idempotent meta command that determines and executes the next logical blueprint action

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234

blueprint-docs-list

List blueprint documents (ADRs, PRDs, PRPs) with metadata extracted from frontmatter and headers

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blueprint-development

Generate project-specific rules and commands from PRDs for Blueprint Development methodology. Use when generating behavioral rules for architecture patterns, testing strategies, implementation guides, or quality standards from requirements documents.

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234

blueprint-adr-list

List all ADRs with title, status, date, and domain in a markdown table

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234

blueprint-adr-validate

Validate ADR relationships, detect orphaned references, and check domain consistency

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234

blueprint-derive-adr

Derive Architecture Decision Records from existing project structure, dependencies, and documentation

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234

blueprint-derive-prd

Derive PRD from existing project documentation, README, and codebase analysis

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234

mcp-code-execution

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helm-chart-development

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api-tests

Check and configure API contract testing with Pact, OpenAPI validation, and schema testing

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api-testing

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agents-analyze

Analyze all plugins for sub-agent opportunities. Identifies skills with verbose output, gaps in agent coverage, and model selection improvements.

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plugin-settings

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meta-audit

Audit Claude subagent configurations for completeness, security, and best practices

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meta-assimilate

Analyze and assimilate project-specific Claude configurations

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234

mcp-management

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custom-agent-definitions

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claude-hooks-configuration

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agent-teams

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design-tokens

CSS custom property architecture, theme systems, design token organization, and component library integration. Use when implementing design systems, theme switching, dark mode, or when the user mentions tokens, CSS variables, theming, or design system setup.

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accessibility-implementation

WCAG 2.1/2.2 compliance implementation, ARIA patterns, keyboard navigation, focus management, and accessibility testing. Use when implementing accessible components, fixing accessibility issues, or when the user mentions WCAG, ARIA, screen readers, or keyboard navigation.

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234

Convex Agents Human Agents

Integrates human agents into automated workflows for human-in-the-loop interactions. Use this when humans need to respond alongside AI agents, handle escalations, or provide context that AI cannot determine.

sstobo
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ai-elements-workflow

This skill provides guidance for building workflow visualizations using Vercel AI Elements and React Flow. It should be used when implementing interactive node-based interfaces, workflow diagrams, or process flow visualizations in Next.js applications. Covers Canvas, Node, Edge, Connection, Controls, Panel, and Toolbar components.

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Convex Agents Messages

Sends, saves, retrieves, and manages messages within agent conversations. Use this when handling user messages, displaying conversation history, and working with UIMessages for rich rendering.

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Convex Agents Playground

Sets up a web UI for testing, debugging, and developing agents without code. Use this to manually test agents, browse conversation history, and verify behavior in real-time.

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Convex Agents RAG

Implements Retrieval-Augmented Generation (RAG) patterns to enhance agents with custom knowledge bases. Use this when agents need to search through documents, retrieve context from a knowledge base, or ground responses in specific data.

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Convex Agents Rate Limiting

Controls message frequency and token usage to prevent abuse and manage API budgets. Use this to implement per-user limits, global caps, burst capacity, and token quota management.

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Convex Agents Streaming

Streams agent responses in real-time to clients without blocking. Use this for responsive UIs, long-running generations, and asynchronous streaming to multiple clients.

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Convex Agents Threads

Manages conversation threads to group messages into linear histories. Use this when organizing multi-turn conversations, managing per-user history, and handling thread metadata.

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Convex Agents Tools

Enables agents to call external functions, APIs, and database operations through tool definitions. Use this when agents need to fetch data, perform actions, or integrate with external services while maintaining clean separation.

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Convex Agents Usage Tracking

Tracks LLM token consumption and usage metrics for billing, monitoring, and optimization. Use this to log token usage, calculate costs, generate invoices, and understand which agents or users consume the most resources.

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Convex Agents Workflows

Orchestrates multi-step agent operations with durable execution, automatic retries, and recovery from failures. Use this for complex workflows that need to survive server restarts or coordinate multiple agents.

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convex-mutations

This skill should be used when implementing Convex mutation functions. It provides comprehensive guidelines for defining, registering, calling, and scheduling mutations, including database operations, transactions, and scheduled job patterns.

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convex-queries

This skill should be used when implementing Convex query functions. It provides comprehensive guidelines for defining, registering, calling, and optimizing queries, including pagination, full text search, and indexing patterns.

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convex-tanstack

Comprehensive guide for building full-stack applications with Convex and TanStack Start. This skill should be used when working on projects that use Convex as the backend database with TanStack Start (React meta-framework). Covers schema design, queries, mutations, actions, authentication with Better Auth, routing, data fetching patterns, SSR, file storage, scheduling, AI agents, and frontend patterns. Use this when implementing features, debugging issues, or needing guidance on Convex + TanStack Start best practices.

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vercel-ai-elements

This skill provides comprehensive documentation for all 23 Vercel AI Elements components organized by category (Message, Conversation, Input/Interaction, Content Display, AI Processing, Advanced Features). Use when users ask about building AI chatbots, need component documentation, want API references for Vercel AI Elements, or need integration examples with the AI SDK.

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betterauth-tanstack-convex

Step-by-step guide for setting up Better Auth authentication with Convex and TanStack Start. This skill should be used when configuring authentication in a Convex + TanStack Start project, troubleshooting auth issues, or implementing sign up/sign in/sign out flows. Covers installation, environment variables, SSR authentication, route handlers, and the expectAuth pattern.

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convex-actions-general

This skill should be used when working with Convex actions, HTTP endpoints, validators, schemas, environment variables, scheduling, file storage, and TypeScript patterns. It provides comprehensive guidelines for function definitions, API design, database limits, and advanced Convex features.

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Convex Agents Context

Customizes what information the LLM receives for each generation. Use this to control message history, implement RAG context injection, search across threads, and provide custom context.

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Convex Agents Debugging

Troubleshoots agent behavior, logs LLM interactions, and inspects database state. Use this when responses are unexpected, to understand context the LLM receives, or to diagnose data issues.

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Convex Agents Files

Handles file uploads, image attachments, and media processing in agent conversations. Use this when agents analyze images, process documents, or generate files.

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Convex Agents Fundamentals

Sets up and configures Convex agents for chat-based AI interactions. Use this when initializing agent instances, creating conversation threads, and generating basic text or structured responses from LLMs. Essential foundation for any Convex agent implementation.

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godot-product-polisher

Godot 产品美化与打磨专家,支持自然语言描述自动完成视觉效果增强、音效优化、用户体验改进、成品包装等美化工作

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Godot Resource Workflow

提供完整的Godot资源文件(.tres)管理能力,支持资源创建、修改、批量处理和依赖关系管理,优化资源工作流

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godot-test-debugger

Godot 测试与调试工作流专家,支持自然语言描述自动完成单元测试、集成测试、错误诊断、性能调试等测试工作

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godot-ui-designer

Godot UI界面系统开发专家,支持自然语言描述自动创建菜单、HUD、对话框、响应式布局等完整UI系统

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skill-creator

创建高效技能的指南。当用户希望打造新的技能(或改进现有技能),以专项知识、工作流或工具集成来扩展 Claude 能力时,请使用本技能。

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mcp-orchestration

智能编排和协调多个MCP工具完成复杂开发任务,支持串行、并行、条件、循环等多种执行模式

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Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.