system-design-patterns
System design patterns for scalability, reliability, and performance. Use when: (1) designing distributed systems, (2) planning for scale, (3) making architecture decisions, (4) evaluating trade-offs.
technical-design-patterns
Create technical design documents for ABP Framework features including API contracts, database schemas, and architecture decisions. Use when: (1) designing REST APIs, (2) planning database schemas, (3) creating technical specifications, (4) documenting architecture decisions (ADRs).
test-data-generation
Test data generation patterns using Bogus, test builders, and ABP seeders. Use when: (1) creating realistic test data, (2) implementing test data seeders, (3) building test fixtures, (4) generating fake data for development.
typescript-advanced-types
Master TypeScript's advanced type system including generics, conditional types, mapped types, and React TypeScript patterns. Use when: (1) implementing complex type logic, (2) creating reusable type utilities, (3) typing React components, hooks, and events, (4) ensuring compile-time type safety.
xunit-testing-patterns
Master xUnit testing patterns for ABP Framework applications including unit tests, integration tests, test data seeders, and mocking strategies. Use when: (1) writing xUnit tests for ABP services, (2) creating test data seeders, (3) implementing integration tests, (4) setting up test infrastructure.
abp-api-implementation
Implement REST APIs in ABP Framework with AppServices, DTOs, pagination, filtering, and authorization. Use when building API endpoints for ABP applications.
crud-generator
Generate complete CRUD application services for ABP Framework following DDD patterns. Creates interface in Contracts layer, implementation in AppServices, and DTOs in Contracts. Use when: (1) creating new entity services, (2) scaffolding CRUD operations, (3) implementing standard ABP service patterns, (4) accelerating feature development.
abp-entity-patterns
ABP Framework domain layer patterns including entities, aggregates, repositories, domain services, and data seeding. Use when: (1) creating entities with proper base classes, (2) implementing custom repositories, (3) writing domain services, (4) seeding data.
abp-infrastructure-patterns
ABP Framework cross-cutting patterns including authorization, background jobs, distributed events, multi-tenancy, and module configuration. Use when: (1) defining permissions, (2) creating background jobs, (3) publishing/handling distributed events, (4) configuring modules.
abp-contract-scaffolding
Generate ABP Application.Contracts layer scaffolding (interfaces, DTOs, permissions) from technical design. Enables parallel development by abp-developer and qa-engineer. Use when: (1) backend-architect needs to generate contracts, (2) preparing for parallel implementation workflow, (3) creating API contracts before implementation.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
testing-strategy
Guidelines for writing effective tests in this project
beads
Use beads (bd) for persistent task tracking in coding projects. A git-backed issue tracker designed for AI agents with dependency graphs, hierarchical tasks, and multi-agent coordination.
frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
api-setup
Set up API integration with configuration and helper scripts
goose-blog-post
Write and publish blog posts for the block/goose open source project
rp-why
Load when reflecting on AI collaboration quality or tracking growth over time. Analyzes session history to surface how deeply you think with AI tools and whether your orchestration sophistication matches your cognitive depth. Provides actionable nudges to push toward more strategic work.
code-review
Comprehensive code review checklist for pull requests
kali-docker-pentesting
Comprehensive pentesting toolkit using Kali Linux Docker container. Provides direct access to 200+ security tools without MCP overhead. Use when conducting security assessments, penetration testing, vulnerability scanning, or security research. Works via direct docker exec commands for maximum efficiency.
chroma-local
Use when the user needs self-hosted or local Chroma for semantic search, including `ChromaClient`, `HttpClient`, or Python `EphemeralClient`, local persistence, Docker or `chroma run`, or OSS Chroma without Chroma Cloud features.
chroma-cloud
Provides expertise on Chroma Cloud integration for semantic search and hybrid search applications. Use when the user is working with Chroma Cloud, CloudClient, managed collections, Schema(), Search(), hybrid search, or Chroma Cloud CLI workflows.
teach-me
以学习者控制的节奏，自顶向下、逐层讲解复杂主题。适用于用户希望“教我”“带我理解”“一步步讲”“先讲顶层”，或明确要求不要一次性展示全部信息的场景。
google-mail-cli
使用 Python CLI 与 Gmail API 交互以搜索和读取邮件、整理标签、创建或更新草稿、发送邮件及管理过滤规则；适用于用户明确要求操作自己的 Gmail 账户时，不用于其它邮件服务。
google-sheets-cli
使用 Python CLI 与 Google Sheets API 交互以新建、读取、更新、批量写入、追加或清空 Google Sheets 在线表格；适用于需要通过 OAuth 授权操作 Google Workspace 表格的场景。
grill-me
针对用户的计划、决策或想法持续深入追问，并按决策树前沿分轮做压力测试。适用于用户希望检验自己的思路，或使用“grill”“拷问”“盘问”等触发词的场景。
jira-cli
通过内置 Python CLI 直接调用 Jira Server/Data Center REST API v2，查询、创建、编辑、流转和删除 Issue、Epic、Sub-task、评论、附件、关联、Watcher、Vote 与 Worklog，并查询 Saved Filter、项目、字段、Board 和 Sprint。适用于需要可控地操作 Jira、保留 Jira wiki markup 并精确管理请求与输出的场景。
notify-via-telegram
在用户明确要求后，通过本地安全配置发送当前长任务的 Telegram 结果通知；适用于用户希望离开终端，并在任务最终成功、最终失败或等待其处理时收到消息的场景。不得仅因任务耗时较长或一般任务完成而发送。
python-execution
编写或运行 PEP 723 临时 Python 脚本、处理 Python 执行环境，以及选择 Python 格式与 lint 检查方式时使用。已有 CLI 按其自身入口运行；创建具有稳定接口的单文件 CLI 使用 uv-cli-creator。
repository-workflow
处理从本地 Git 变更到 GitHub/GitLab 协作发布的完整工作流；适用于创建或更新分支、语义化 commit message、commit、push、Issue/PR/MR 文案、inline review reply、Breaking Change 与提交范围核对。纯只读的平台查询不使用本 skill。
golang-lo
Go >= 1.18 项目中希望用 samber/lo（Lodash 风格泛型库）简化集合/映射/字符串、错误处理、重试/节流/防抖、通道并发或指针空值场景时使用。
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