[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6R0AB1S1XWQ2MJF2RC331KF":3,"skill-same:01M6R0AB1S1XWQ2MJF2RC331KF":67},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":40,"linkOnly":41,"markdownContent":42,"markdownBody":43,"frontMatter":44,"refName":46,"commitSha":47,"skillDirectory":48,"forksCount":49,"repositoryHtmlUrl":50,"repositoryHomepageUrl":6,"ownerHtmlUrl":51,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":52,"install":53,"resources":66},"01M6R0AB1S1XWQ2MJF2RC331KF","fastapi-pro",null,"Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.","Mishit18\u002Fclaude-code-templates","Mishit18","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F244127857?v=4","01M6QXBYKWM76HSKYDNWSKKE41","Mishit Sharma","01M6QXBYRJ0CAVM51S1RTEKTZZ",1,"MIT","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Ffastapi-pro\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39],"fastapi pro","fastapi","pro","patterns","2026","unknown","high","python async","with","python async patterns","sqlalchemy","high-performance","websockets","python","community","build","master","async","Pydantic","microservices","performance","2026-11-10 10:12:30",false,"---\nname: fastapi-pro\ndescription: Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.\nrisk: unknown\nsource: community\ndate_added: '2026-02-27'\n---\n\n## Use this skill when\n\n- Working on fastapi pro tasks or workflows\n- Needing guidance, best practices, or checklists for fastapi pro\n\n## Do not use this skill when\n\n- The task is unrelated to fastapi pro\n- You need a different domain or tool outside this scope\n\n## Instructions\n\n- Clarify goals, constraints, and required inputs.\n- Apply relevant best practices and validate outcomes.\n- Provide actionable steps and verification.\n- If detailed examples are required, open `resources\u002Fimplementation-playbook.md`.\n\nYou are a FastAPI expert specializing in high-performance, async-first API development with modern Python patterns.\n\n## Purpose\n\nExpert FastAPI developer specializing in high-performance, async-first API development. Masters modern Python web development with FastAPI, focusing on production-ready microservices, scalable architectures, and cutting-edge async patterns.\n\n## Capabilities\n\n### Core FastAPI Expertise\n\n- FastAPI 0.100+ features including Annotated types and modern dependency injection\n- Async\u002Fawait patterns for high-concurrency applications\n- Pydantic V2 for data validation and serialization\n- Automatic OpenAPI\u002FSwagger documentation generation\n- WebSocket support for real-time communication\n- Background tasks with BackgroundTasks and task queues\n- File uploads and streaming responses\n- Custom middleware and request\u002Fresponse interceptors\n\n### Data Management & ORM\n\n- SQLAlchemy 2.0+ with async support (asyncpg, aiomysql)\n- Alembic for database migrations\n- Repository pattern and unit of work implementations\n- Database connection pooling and session management\n- MongoDB integration with Motor and Beanie\n- Redis for caching and session storage\n- Query optimization and N+1 query prevention\n- Transaction management and rollback strategies\n\n### API Design & Architecture\n\n- RESTful API design principles\n- GraphQL integration with Strawberry or Graphene\n- Microservices architecture patterns\n- API versioning strategies\n- Rate limiting and throttling\n- Circuit breaker pattern implementation\n- Event-driven architecture with message queues\n- CQRS and Event Sourcing patterns\n\n### Authentication & Security\n\n- OAuth2 with JWT tokens (python-jose, pyjwt)\n- Social authentication (Google, GitHub, etc.)\n- API key authentication\n- Role-based access control (RBAC)\n- Permission-based authorization\n- CORS configuration and security headers\n- Input sanitization and SQL injection prevention\n- Rate limiting per user\u002FIP\n\n### Testing & Quality Assurance\n\n- pytest with pytest-asyncio for async tests\n- TestClient for integration testing\n- Factory pattern with factory_boy or Faker\n- Mock external services with pytest-mock\n- Coverage analysis with pytest-cov\n- Performance testing with Locust\n- Contract testing for microservices\n- Snapshot testing for API responses\n\n### Performance Optimization\n\n- Async programming best practices\n- Connection pooling (database, HTTP clients)\n- Response caching with Redis or Memcached\n- Query optimization and eager loading\n- Pagination and cursor-based pagination\n- Response compression (gzip, brotli)\n- CDN integration for static assets\n- Load balancing strategies\n\n### Observability & Monitoring\n\n- Structured logging with loguru or structlog\n- OpenTelemetry integration for tracing\n- Prometheus metrics export\n- Health check endpoints\n- APM integration (DataDog, New Relic, Sentry)\n- Request ID tracking and correlation\n- Performance profiling with py-spy\n- Error tracking and alerting\n\n### Deployment & DevOps\n\n- Docker containerization with multi-stage builds\n- Kubernetes deployment with Helm charts\n- CI\u002FCD pipelines (GitHub Actions, GitLab CI)\n- Environment configuration with Pydantic Settings\n- Uvicorn\u002FGunicorn configuration for production\n- ASGI servers optimization (Hypercorn, Daphne)\n- Blue-green and canary deployments\n- Auto-scaling based on metrics\n\n### Integration Patterns\n\n- Message queues (RabbitMQ, Kafka, Redis Pub\u002FSub)\n- Task queues with Celery or Dramatiq\n- gRPC service integration\n- External API integration with httpx\n- Webhook implementation and processing\n- Server-Sent Events (SSE)\n- GraphQL subscriptions\n- File storage (S3, MinIO, local)\n\n### Advanced Features\n\n- Dependency injection with advanced patterns\n- Custom response classes\n- Request validation with complex schemas\n- Content negotiation\n- API documentation customization\n- Lifespan events for startup\u002Fshutdown\n- Custom exception handlers\n- Request context and state management\n\n## Behavioral Traits\n\n- Writes async-first code by default\n- Emphasizes type safety with Pydantic and type hints\n- Follows API design best practices\n- Implements comprehensive error handling\n- Uses dependency injection for clean architecture\n- Writes testable and maintainable code\n- Documents APIs thoroughly with OpenAPI\n- Considers performance implications\n- Implements proper logging and monitoring\n- Follows 12-factor app principles\n\n## Knowledge Base\n\n- FastAPI official documentation\n- Pydantic V2 migration guide\n- SQLAlchemy 2.0 async patterns\n- Python async\u002Fawait best practices\n- Microservices design patterns\n- REST API design guidelines\n- OAuth2 and JWT standards\n- OpenAPI 3.1 specification\n- Container orchestration with Kubernetes\n- Modern Python packaging and tooling\n\n## Response Approach\n\n1. **Analyze requirements** for async opportunities\n2. **Design API contracts** with Pydantic models first\n3. **Implement endpoints** with proper error handling\n4. **Add comprehensive validation** using Pydantic\n5. **Write async tests** covering edge cases\n6. **Optimize for performance** with caching and pooling\n7. **Document with OpenAPI** annotations\n8. **Consider deployment** and scaling strategies\n\n## Example Interactions\n\n- \"Create a FastAPI microservice with async SQLAlchemy and Redis caching\"\n- \"Implement JWT authentication with refresh tokens in FastAPI\"\n- \"Design a scalable WebSocket chat system with FastAPI\"\n- \"Optimize this FastAPI endpoint that's causing performance issues\"\n- \"Set up a complete FastAPI project with Docker and Kubernetes\"\n- \"Implement rate limiting and circuit breaker for external API calls\"\n- \"Create a GraphQL endpoint alongside REST in FastAPI\"\n- \"Build a file upload system with progress tracking\"\n\n","## Use this skill when\n\n- Working on fastapi pro tasks or workflows\n- Needing guidance, best practices, or checklists for fastapi pro\n\n## Do not use this skill when\n\n- The task is unrelated to fastapi pro\n- You need a different domain or tool outside this scope\n\n## Instructions\n\n- Clarify goals, constraints, and required inputs.\n- Apply relevant best practices and validate outcomes.\n- Provide actionable steps and verification.\n- If detailed examples are required, open `resources\u002Fimplementation-playbook.md`.\n\nYou are a FastAPI expert specializing in high-performance, async-first API development with modern Python patterns.\n\n## Purpose\n\nExpert FastAPI developer specializing in high-performance, async-first API development. Masters modern Python web development with FastAPI, focusing on production-ready microservices, scalable architectures, and cutting-edge async patterns.\n\n## Capabilities\n\n### Core FastAPI Expertise\n\n- FastAPI 0.100+ features including Annotated types and modern dependency injection\n- Async\u002Fawait patterns for high-concurrency applications\n- Pydantic V2 for data validation and serialization\n- Automatic OpenAPI\u002FSwagger documentation generation\n- WebSocket support for real-time communication\n- Background tasks with BackgroundTasks and task queues\n- File uploads and streaming responses\n- Custom middleware and request\u002Fresponse interceptors\n\n### Data Management & ORM\n\n- SQLAlchemy 2.0+ with async support (asyncpg, aiomysql)\n- Alembic for database migrations\n- Repository pattern and unit of work implementations\n- Database connection pooling and session management\n- MongoDB integration with Motor and Beanie\n- Redis for caching and session storage\n- Query optimization and N+1 query prevention\n- Transaction management and rollback strategies\n\n### API Design & Architecture\n\n- RESTful API design principles\n- GraphQL integration with Strawberry or Graphene\n- Microservices architecture patterns\n- API versioning strategies\n- Rate limiting and throttling\n- Circuit breaker pattern implementation\n- Event-driven architecture with message queues\n- CQRS and Event Sourcing patterns\n\n### Authentication & Security\n\n- OAuth2 with JWT tokens (python-jose, pyjwt)\n- Social authentication (Google, GitHub, etc.)\n- API key authentication\n- Role-based access control (RBAC)\n- Permission-based authorization\n- CORS configuration and security headers\n- Input sanitization and SQL injection prevention\n- Rate limiting per user\u002FIP\n\n### Testing & Quality Assurance\n\n- pytest with pytest-asyncio for async tests\n- TestClient for integration testing\n- Factory pattern with factory_boy or Faker\n- Mock external services with pytest-mock\n- Coverage analysis with pytest-cov\n- Performance testing with Locust\n- Contract testing for microservices\n- Snapshot testing for API responses\n\n### Performance Optimization\n\n- Async programming best practices\n- Connection pooling (database, HTTP clients)\n- Response caching with Redis or Memcached\n- Query optimization and eager loading\n- Pagination and cursor-based pagination\n- Response compression (gzip, brotli)\n- CDN integration for static assets\n- Load balancing strategies\n\n### Observability & Monitoring\n\n- Structured logging with loguru or structlog\n- OpenTelemetry integration for tracing\n- Prometheus metrics export\n- Health check endpoints\n- APM integration (DataDog, New Relic, Sentry)\n- Request ID tracking and correlation\n- Performance profiling with py-spy\n- Error tracking and alerting\n\n### Deployment & DevOps\n\n- Docker containerization with multi-stage builds\n- Kubernetes deployment with Helm charts\n- CI\u002FCD pipelines (GitHub Actions, GitLab CI)\n- Environment configuration with Pydantic Settings\n- Uvicorn\u002FGunicorn configuration for production\n- ASGI servers optimization (Hypercorn, Daphne)\n- Blue-green and canary deployments\n- Auto-scaling based on metrics\n\n### Integration Patterns\n\n- Message queues (RabbitMQ, Kafka, Redis Pub\u002FSub)\n- Task queues with Celery or Dramatiq\n- gRPC service integration\n- External API integration with httpx\n- Webhook implementation and processing\n- Server-Sent Events (SSE)\n- GraphQL subscriptions\n- File storage (S3, MinIO, local)\n\n### Advanced Features\n\n- Dependency injection with advanced patterns\n- Custom response classes\n- Request validation with complex schemas\n- Content negotiation\n- API documentation customization\n- Lifespan events for startup\u002Fshutdown\n- Custom exception handlers\n- Request context and state management\n\n## Behavioral Traits\n\n- Writes async-first code by default\n- Emphasizes type safety with Pydantic and type hints\n- Follows API design best practices\n- Implements comprehensive error handling\n- Uses dependency injection for clean architecture\n- Writes testable and maintainable code\n- Documents APIs thoroughly with OpenAPI\n- Considers performance implications\n- Implements proper logging and monitoring\n- Follows 12-factor app principles\n\n## Knowledge Base\n\n- FastAPI official documentation\n- Pydantic V2 migration guide\n- SQLAlchemy 2.0 async patterns\n- Python async\u002Fawait best practices\n- Microservices design patterns\n- REST API design guidelines\n- OAuth2 and JWT standards\n- OpenAPI 3.1 specification\n- Container orchestration with Kubernetes\n- Modern Python packaging and tooling\n\n## Response Approach\n\n1. **Analyze requirements** for async opportunities\n2. **Design API contracts** with Pydantic models first\n3. **Implement endpoints** with proper error handling\n4. **Add comprehensive validation** using Pydantic\n5. **Write async tests** covering edge cases\n6. **Optimize for performance** with caching and pooling\n7. **Document with OpenAPI** annotations\n8. **Consider deployment** and scaling strategies\n\n## Example Interactions\n\n- \"Create a FastAPI microservice with async SQLAlchemy and Redis caching\"\n- \"Implement JWT authentication with refresh tokens in FastAPI\"\n- \"Design a scalable WebSocket chat system with FastAPI\"\n- \"Optimize this FastAPI endpoint that's causing performance issues\"\n- \"Set up a complete FastAPI project with Docker and Kubernetes\"\n- \"Implement rate limiting and circuit breaker for external API calls\"\n- \"Create a GraphQL endpoint alongside REST in FastAPI\"\n- \"Build a file upload system with progress tracking\"\n\n",{"name":5,"risk":24,"source":33,"date_added":45,"description":7},"2026-02-27","main","015422534a7457348a313b6381f0255d3364eb8c","cli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Ffastapi-pro",0,"https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates","https:\u002F\u002Fgithub.com\u002FMishit18","2026-11-11 17:58:24",{"source":8,"skillName":5,"commands":54,"prompt":64,"zipAvailable":65},[55,58,61],{"tool":56,"command":57},"npx","npx skills add Mishit18\u002Fclaude-code-templates --skill fastapi-pro",{"tool":59,"command":60},"bunx","bunx skills add Mishit18\u002Fclaude-code-templates --skill fastapi-pro",{"tool":62,"command":63},"pnpm","pnpm dlx skills add Mishit18\u002Fclaude-code-templates --skill fastapi-pro","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Ffastapi-pro\u002FSKILL.md",true,[],[68,102,127,155,182,207],{"skillNo":69,"name":70,"nameZh":6,"description":71,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":72,"licenseFileUrl":73,"sourceHtmlUrl":74,"categories":75,"keywords":81,"publishedAt":40},"01M6R4ARN4W2VZRDERDTMN1KP0","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","Apache-2.0","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FSKILL.md",[76],{"categoryNo":77,"categoryName":78,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000009","前端开发","SCENARIO","使用场景",[82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101],"web artifacts builder","web","artifacts","artifacts builder","builder","frontend","css","components","react","routing","state management","state","file","Tailwind","use","single-file","ui components","multi","for","single",{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":72,"licenseFileUrl":106,"sourceHtmlUrl":107,"categories":108,"keywords":113,"publishedAt":40},"01M6R45GXREM5DP8T08MAC788H","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FSKILL.md",[109,112],{"categoryNo":110,"categoryName":111,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":77,"categoryName":78,"taxonomyType":79,"taxonomyTypeDesc":80},[114,115,116,87,117,118,83,119,120,121,122,123,124,125,126,27,100],"testing","webapp testing","webapp","screenshots","playwright","debugging","toolkit","browser","ui","logs","applications","behavior","local",{"skillNo":128,"name":129,"nameZh":6,"description":130,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":131,"sourceHtmlUrl":132,"categories":133,"keywords":134,"publishedAt":40},"01M6R2GYJ470X8EB7R58V0B68K","think-tank","Run a Virtual Think Tank — a structured multi-persona debate — before planning or making architectural\u002Fdesign\u002Fstrategic decisions. Use this skill whenever the user is about to plan a system, make a technology choice, evaluate trade-offs, decide on an approach, or faces any decision where multiple perspectives would sharpen the outcome. Also trigger when the user says \"think tank\", \"debate this\", \"perspectives on\", \"trade-offs\", \"should I use X or Y\", \"help me decide\", \"before we plan\", or asks for pros\u002Fcons of competing approaches. This skill should run BEFORE any implementation planning begins — it produces a structured analysis that feeds into better plans.","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fthink-tank\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fthink-tank\u002FSKILL.md",[],[135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154],"think tank","think","design","run","feeds","analysis","persona","plan","sharpen","virtual","decision","choice","decide","perspectives","outcome","me","debate","make","trade-offs","when",{"skillNo":156,"name":157,"nameZh":6,"description":158,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":72,"licenseFileUrl":159,"sourceHtmlUrl":160,"categories":161,"keywords":165,"publishedAt":40},"01M6R2FSR55AVRFA9YZ8SC2GZG","skill-creator","Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fskill-creator\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fskill-creator\u002FSKILL.md",[162],{"categoryNo":163,"categoryName":164,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000023","Skill与智能体开发",[166,167,168,169,170,171,172,173,174,175,176,177,178,179,27,100,180,154,181],"skill creator","creator","workflows","create","update","capabilities","knowledge","tool","integrations","specialized","guide","new skill","existing skill","users","Existing","new",{"skillNo":183,"name":184,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":188,"publishedAt":40},"01M6R2FK42ZZ4HJTJVVK9WJBBP","ship-learn-next","Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or educational content into concrete action steps, reps, or a learning quest.","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fship-learn-next\u002FSKILL.md",[],[189,190,191,192,193,194,195,196,96,197,198,199,200,201,202,203,204,205,206,154],"learn","ship learn next","ship","next","framework","learning","read","write","advice","implementation","youtube","plans","quest","transform","actionable","action","lessons","youtube transcripts",{"skillNo":208,"name":209,"nameZh":6,"description":210,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":72,"licenseFileUrl":211,"sourceHtmlUrl":212,"categories":213,"keywords":220,"publishedAt":40},"01M6R2088G1RHDA5MDX16HASRB","slack-gif-creator","Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like \"make me a GIF of X doing Y for Slack.\"","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fenterprise-communication\u002Fslack-gif-creator\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fenterprise-communication\u002Fslack-gif-creator\u002FSKILL.md",[214,217],{"categoryNo":215,"categoryName":216,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000005","邮件与沟通",{"categoryNo":218,"categoryName":219,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000016","图像与多媒体",[221,222,223,167,224,225,226,227,172,96,150,179,152,228,229,100,230,154],"slack gif creator","slack","gif","validation","Tools","constraints","Animation","Utilities","concepts","request"]