Tipus
Comprovació i generació de tipus
api-design
majiayu000
REST/GraphQL/gRPC API design best practices. Use when designing APIs, defining contracts, handling versioning. Covers OpenAPI 3.2, GraphQL Federation, gRPC streaming.
goal-analyzer
huifer
分析健康目标数据、识别目标模式、评估目标进度,并提供个性化目标管理建议。支持与营养、运动、睡眠等健康数据的关联分析。
tcm-constitution-analyzer
huifer
分析中医体质数据、识别体质类型、评估体质特征,并提供个性化养生建议。支持与营养、运动、睡眠等健康数据的关联分析。
tcm-constitution-analyzer
huifer
分析中医体质数据、识别体质类型、评估体质特征,并提供个性化养生建议。支持与营养、运动、睡眠等健康数据的关联分析。
java-best-practices
Leavesfly
Java 编码最佳实践与设计模式
subscription-integration
dodopayments
Guide for implementing subscription billing with Dodo Payments - trials, upgrades, downgrades, and on-demand billing.
hook-factory
alirezarezvani
Generate production-ready Claude Code hooks with interactive Q&A, automated installation, and enhanced validation. Supports 10 templates across 7 event types for comprehensive workflow automation.
atelier-typescript-dynamodb-toolbox
martinffx
DynamoDB single-table design using dynamodb-toolbox v2. Use when creating entities, defining key patterns, designing GSIs, writing queries, implementing pagination, or working with any DynamoDB data layer in TypeScript projects.
atelier-spec-architect
martinffx
DDD and hexagonal architecture with functional core pattern. Use when designing features, modeling domains, breaking down tasks, or understanding component responsibilities.
atelier-typescript-drizzle-orm
martinffx
Type-safe SQL with Drizzle ORM in TypeScript. Use when defining database schemas, writing queries, setting up relations, running migrations, or working with PostgreSQL/MySQL/SQLite/Cloudflare D1/Durable Objects data layers.
python:architecture
martinffx
Python application architecture with functional core, effectful shell, DDD, and data modeling. Use when designing application layers, separating pure business logic from IO, defining domain models, implementing validation, or structuring bounded contexts.
goal-analyzer
huifer
分析健康目标数据、识别目标模式、评估目标进度,并提供个性化目标管理建议。支持与营养、运动、睡眠等健康数据的关联分析。
documenting-tools
axiomantic
"Use when writing MCP tools, API endpoints, CLI commands, or any function that an LLM will invoke. Also use when LLMs misuse tools due to poor descriptions. Triggers: 'document this tool', 'write tool docs', 'MCP tool', 'tool description quality', 'model keeps calling this wrong', 'improve tool description'. For human-facing API docs, standard documentation practices apply instead."
async-await-patterns
axiomantic
"Use when writing JavaScript or TypeScript code with asynchronous operations, fixing promise-related bugs, or converting callback/promise patterns to async/await. Triggers: 'promise chain', 'unhandled rejection', 'race condition in JS', 'callback hell', 'Promise.all', 'sequential vs parallel async', 'missing await'. Enforces async/await discipline over raw promises."
sharpening-prompts
axiomantic
Use when reviewing LLM prompts, skill instructions, subagent prompts, or any text that will instruct an AI. Triggers: "review this prompt", "audit instructions", "sharpen prompt", "is this clear enough", "would an LLM understand this", "ambiguity check". Also invoked by instruction-engineering, reviewing-design-docs, and reviewing-impl-plans for instruction quality gates.
reflexion
axiomantic
Use when roundtable returns ITERATE verdict in the Forged workflow. Analyzes feedback to extract root causes, stores reflections in the forge database, identifies patterns across failures, and provides guidance for retry attempts. Prevents repeated mistakes across iterations.
emotional-stakes
axiomantic
"Use when writing subagent prompts, skill instructions, or any high-stakes task requiring accuracy and truthfulness"
ark-layer
openharmonyinsight
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openharmony-cpp
openharmonyinsight
Expert coding guide for OpenHarmony C++ development. Use this skill when writing, refactoring, or reviewing C++ code for OpenHarmony projects. It enforces strict project-specific conventions (naming, formatting, headers) and critical security requirements (input validation, memory safety).
header-optimization
openharmonyinsight
This skill should be used when the user asks to "optimize header files", "reduce header dependencies", "优化头文件", "减少头文件依赖", "analyze compilation efficiency", "分析编译效率", or mentions test_header.cpp analysis. This skill optimizes C++ header file compilation efficiency through systematic refactoring.
openspec-continue-change
alibaba
Continue working on an OpenSpec change by creating the next artifact. Use when the user wants to progress their change, create the next artifact, or continue their workflow.
semantic-validation
akaszubski
GenAI-powered semantic validation - detects outdated docs, version mismatches, and architectural drift
openspec-continue-change
alibaba
Continue working on an OpenSpec change by creating the next artifact. Use when the user wants to progress their change, create the next artifact, or continue their workflow.
openspec-new-change
alibaba
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.