Types
Type checking and type generation
moai-formats-data
by modu-ai
Data format specialist covering TOON encoding, JSON/YAML optimization, serialization patterns, and data validation for modern applications. Use when optimizing data for LLM transmission, implementing high-performance serialization, validating data schemas, or converting between data formats.
development
by telagod
开发语言能力索引。Python、Go、Rust、TypeScript、Java、C++、Shell。当用户提到编程、开发、代码、语言时路由到此。
VTable Development Assistant
by VisActor
帮助用户使用 @visactor/vtable 进行高性能表格组件开发，涵盖 ListTable、PivotTable、PivotChart 三种表格类型、13 种单元格类型、样式主题、自定义渲染、事件系统和完整 API。
api-development
by labring
FastGPT API 开发规范。重点强调使用 zod schema 定义入参和出参,在 API 文档中声明路由信息,编写对应的 OpenAPI 文档,以及在 API 路由中使用 schema.parse 进行验证。
typescript-write
by metabase
Write TypeScript and JavaScript code following Metabase coding standards and best practices. Use when developing or refactoring TypeScript/JavaScript code.
test-skill
by labring
当用户需要编写一个单元测试时，触发该 skill，编写单元测试。
keyword-research
by aaron-he-zhu
'Use when the user asks to "find keywords", "keyword research", "what should I write about", "identify ranking opportunities", "topic ideas", "what are people searching for", "which keywords should I target", or "give me keyword ideas". Discovers high-value keywords with search intent analysis, difficulty assessment, and content opportunity mapping. Essential for starting any SEO or GEO content strategy. For analyzing competitor keywords specifically, see competitor-analysis. For content topic gaps, see content-gap-analysis.'
databricks-spark-declarative-pipelines
by databricks-solutions
"Creates, configures, and updates Databricks Lakeflow Spark Declarative Pipelines (SDP/LDP) using serverless compute. Handles streaming tables, materialized views, CDC, SCD Type 2, and Auto Loader ingestion patterns. Use when building data pipelines, working with Delta Live Tables, ingesting streaming data, implementing change data capture, or when the user mentions SDP, LDP, DLT, Lakeflow pipelines, streaming tables, or bronze/silver/gold medallion architectures."
m05-type-driven
by actionbook
"CRITICAL: Use for type-driven design. Triggers: type state, PhantomData, newtype, marker trait, builder pattern, make invalid states unrepresentable, compile-time validation, sealed trait, ZST, 类型状态, 新类型模式, 类型驱动设计"
rust-symbol-analyzer
by actionbook
"Analyze Rust project structure using LSP symbols. Triggers on: /symbols, project structure, list structs, list traits, list functions, 符号分析, 项目结构, 列出所有, 有哪些struct"
m04-zero-cost
by actionbook
"CRITICAL: Use for generics, traits, zero-cost abstraction. Triggers: E0277, E0308, E0599, generic, trait, impl, dyn, where, monomorphization, static dispatch, dynamic dispatch, impl Trait, trait bound not satisfied, 泛型, 特征, 零成本抽象, 单态化"
m07-concurrency
by actionbook
"CRITICAL: Use for concurrency/async. Triggers: E0277 Send Sync, cannot be sent between threads, thread, spawn, channel, mpsc, Mutex, RwLock, Atomic, async, await, Future, tokio, deadlock, race condition, 并发, 线程, 异步, 死锁"
feature-builder
by smallnest
Build complete React features with proper layered architecture including UI components, business logic, API integration, and state management. Use this skill when users request implementing features like "user authentication", "shopping cart", "product listing", "file upload", or any complete functionality that requires UI + business logic + data fetching. Generates all layers - presentation (components), business logic (hooks/stores/validation), and data access (API calls/React Query). Integrates with react-component-generator for UI and provides production-ready, maintainable code following best practices.
analyzing-threat-intelligence-feeds
by mukul975
Analyzes structured and unstructured threat intelligence feeds to extract actionable indicators, adversary tactics, and campaign context. Use when ingesting commercial or open-source CTI feeds, evaluating feed quality, normalizing data into STIX 2.1 format, or enriching existing IOCs with campaign attribution. Activates for requests involving ThreatConnect, Recorded Future, Mandiant Advantage, MISP, AlienVault OTX, or automated feed aggregation pipelines.
Enterprise Integration Testing
by proffesor-for-testing
Agentic QE Fleet is an open-source AI-powered quality engineering platform designed for use with Claude Code, featuring specialized agents and skills to support testing activities for a product at any stage of the SDLC. Free to use, fork, build, and contribute. Based on the Agentic QE Framework created by Dragan Spiridonov.
Pentest Validation
by proffesor-for-testing
Agentic QE Fleet is an open-source AI-powered quality engineering platform designed for use with Claude Code, featuring specialized agents and skills to support testing activities for a product at any stage of the SDLC. Free to use, fork, build, and contribute. Based on the Agentic QE Framework created by Dragan Spiridonov.
QE Learning Optimization
by proffesor-for-testing
"Transfer learning, metrics optimization, and continuous improvement for AI-powered QE agents."
QE Contract Testing
by proffesor-for-testing
"Consumer-driven contract testing for APIs including REST, GraphQL, and event-driven systems with schema validation."
typescript-review
by metabase
Review TypeScript and JavaScript code changes for compliance with Metabase coding standards, style violations, and code quality issues. Use when reviewing pull requests or diffs containing TypeScript/JavaScript code.
add-malli-schemas
by metabase
Efficiently add Malli schemas to API endpoints in the Metabase codebase with proper patterns, validation timing, and error handling
analytics-events
by metabase
Add product analytics events to track user interactions in the Metabase frontend
ecto-migration
by blockscout
Generates Ecto migrations for the Blockscout Elixir project using mix ecto.gen.migration command. Use when you need to create database schema changes, add tables, modify columns, or manage database structure.
tooluniverse-gwas-finemapping
by mims-harvard
Identify and prioritize causal variants at GWAS loci using statistical fine-mapping and locus-to-gene predictions. Computes posterior probabilities for causal variants, links variants to genes via L2G predictions, annotates functional consequences, and suggests validation strategies. Use when asked to fine-map GWAS loci, prioritize causal variants, identify credible sets, or link GWAS signals to causal genes.
openspec-new-change
by PBH-BTN
Start a new OpenSpec change using the experimental artifact workflow. Use when the user wants to create a new feature, fix, or modification with a structured step-by-step approach.