[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7ANKGAHZXFVZGRP1KDFGA33":3,"skill-same:01M7ANKGAHZXFVZGRP1KDFGA33":73},{"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":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":24,"commitSha":25,"skillDirectory":26,"forksCount":14,"repositoryHtmlUrl":27,"repositoryHomepageUrl":6,"ownerHtmlUrl":28,"ownerBlogUrl":6,"ownerDescription":29,"updatedAt":30,"install":31,"resources":44},"01M7ANKGAHZXFVZGRP1KDFGA33","senior-qa",null,"Comprehensive QA and testing skill for quality assurance, test automation, and testing strategies for ReactJS, NextJS, NodeJS applications. Includes test suite generation, coverage analysis, E2E testing setup, and quality metrics. Use when designing test strategies, writing test cases, implementing test automation, performing manual testing, or analyzing test coverage.","GongYuanCaiJi\u002Fdsh-claude-code-templates","GongYuanCaiJi","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F129952120?v=4","01M7AK39Q4W3VPF7C1K8M58BFX","劉昱廷 Yu-Ting Liu","01M7AK39QPS2RAJKRQY0EPQJPZ",0,"MIT","https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fdevelopment\u002Fsenior-qa\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: senior-qa\ndescription: Comprehensive QA and testing skill for quality assurance, test automation, and testing strategies for ReactJS, NextJS, NodeJS applications. Includes test suite generation, coverage analysis, E2E testing setup, and quality metrics. Use when designing test strategies, writing test cases, implementing test automation, performing manual testing, or analyzing test coverage.\n---\n\n# Senior Qa\n\nComplete toolkit for senior qa with modern tools and best practices.\n\n## Quick Start\n\n### Main Capabilities\n\nThis skill provides three core capabilities through automated scripts:\n\n```bash\n# Script 1: Test Suite Generator\npython scripts\u002Ftest_suite_generator.py [options]\n\n# Script 2: Coverage Analyzer\npython scripts\u002Fcoverage_analyzer.py [options]\n\n# Script 3: E2E Test Scaffolder\npython scripts\u002Fe2e_test_scaffolder.py [options]\n```\n\n## Core Capabilities\n\n### 1. Test Suite Generator\n\nAutomated tool for test suite generator tasks.\n\n**Features:**\n- Automated scaffolding\n- Best practices built-in\n- Configurable templates\n- Quality checks\n\n**Usage:**\n```bash\npython scripts\u002Ftest_suite_generator.py \u003Cproject-path> [options]\n```\n\n### 2. Coverage Analyzer\n\nComprehensive analysis and optimization tool.\n\n**Features:**\n- Deep analysis\n- Performance metrics\n- Recommendations\n- Automated fixes\n\n**Usage:**\n```bash\npython scripts\u002Fcoverage_analyzer.py \u003Ctarget-path> [--verbose]\n```\n\n### 3. E2E Test Scaffolder\n\nAdvanced tooling for specialized tasks.\n\n**Features:**\n- Expert-level automation\n- Custom configurations\n- Integration ready\n- Production-grade output\n\n**Usage:**\n```bash\npython scripts\u002Fe2e_test_scaffolder.py [arguments] [options]\n```\n\n## Reference Documentation\n\n### Testing Strategies\n\nComprehensive guide available in `references\u002Ftesting_strategies.md`:\n\n- Detailed patterns and practices\n- Code examples\n- Best practices\n- Anti-patterns to avoid\n- Real-world scenarios\n\n### Test Automation Patterns\n\nComplete workflow documentation in `references\u002Ftest_automation_patterns.md`:\n\n- Step-by-step processes\n- Optimization strategies\n- Tool integrations\n- Performance tuning\n- Troubleshooting guide\n\n### Qa Best Practices\n\nTechnical reference guide in `references\u002Fqa_best_practices.md`:\n\n- Technology stack details\n- Configuration examples\n- Integration patterns\n- Security considerations\n- Scalability guidelines\n\n## Tech Stack\n\n**Languages:** TypeScript, JavaScript, Python, Go, Swift, Kotlin\n**Frontend:** React, Next.js, React Native, Flutter\n**Backend:** Node.js, Express, GraphQL, REST APIs\n**Database:** PostgreSQL, Prisma, NeonDB, Supabase\n**DevOps:** Docker, Kubernetes, Terraform, GitHub Actions, CircleCI\n**Cloud:** AWS, GCP, Azure\n\n## Development Workflow\n\n### 1. Setup and Configuration\n\n```bash\n# Install dependencies\nnpm install\n# or\npip install -r requirements.txt\n\n# Configure environment\ncp .env.example .env\n```\n\n### 2. Run Quality Checks\n\n```bash\n# Use the analyzer script\npython scripts\u002Fcoverage_analyzer.py .\n\n# Review recommendations\n# Apply fixes\n```\n\n### 3. Implement Best Practices\n\nFollow the patterns and practices documented in:\n- `references\u002Ftesting_strategies.md`\n- `references\u002Ftest_automation_patterns.md`\n- `references\u002Fqa_best_practices.md`\n\n## Best Practices Summary\n\n### Code Quality\n- Follow established patterns\n- Write comprehensive tests\n- Document decisions\n- Review regularly\n\n### Performance\n- Measure before optimizing\n- Use appropriate caching\n- Optimize critical paths\n- Monitor in production\n\n### Security\n- Validate all inputs\n- Use parameterized queries\n- Implement proper authentication\n- Keep dependencies updated\n\n### Maintainability\n- Write clear code\n- Use consistent naming\n- Add helpful comments\n- Keep it simple\n\n## Common Commands\n\n```bash\n# Development\nnpm run dev\nnpm run build\nnpm run test\nnpm run lint\n\n# Analysis\npython scripts\u002Fcoverage_analyzer.py .\npython scripts\u002Fe2e_test_scaffolder.py --analyze\n\n# Deployment\ndocker build -t app:latest .\ndocker-compose up -d\nkubectl apply -f k8s\u002F\n```\n\n## Troubleshooting\n\n### Common Issues\n\nCheck the comprehensive troubleshooting section in `references\u002Fqa_best_practices.md`.\n\n### Getting Help\n\n- Review reference documentation\n- Check script output messages\n- Consult tech stack documentation\n- Review error logs\n\n## Resources\n\n- Pattern Reference: `references\u002Ftesting_strategies.md`\n- Workflow Guide: `references\u002Ftest_automation_patterns.md`\n- Technical Guide: `references\u002Fqa_best_practices.md`\n- Tool Scripts: `scripts\u002F` directory\n","# Senior Qa\n\nComplete toolkit for senior qa with modern tools and best practices.\n\n## Quick Start\n\n### Main Capabilities\n\nThis skill provides three core capabilities through automated scripts:\n\n```bash\n# Script 1: Test Suite Generator\npython scripts\u002Ftest_suite_generator.py [options]\n\n# Script 2: Coverage Analyzer\npython scripts\u002Fcoverage_analyzer.py [options]\n\n# Script 3: E2E Test Scaffolder\npython scripts\u002Fe2e_test_scaffolder.py [options]\n```\n\n## Core Capabilities\n\n### 1. Test Suite Generator\n\nAutomated tool for test suite generator tasks.\n\n**Features:**\n- Automated scaffolding\n- Best practices built-in\n- Configurable templates\n- Quality checks\n\n**Usage:**\n```bash\npython scripts\u002Ftest_suite_generator.py \u003Cproject-path> [options]\n```\n\n### 2. Coverage Analyzer\n\nComprehensive analysis and optimization tool.\n\n**Features:**\n- Deep analysis\n- Performance metrics\n- Recommendations\n- Automated fixes\n\n**Usage:**\n```bash\npython scripts\u002Fcoverage_analyzer.py \u003Ctarget-path> [--verbose]\n```\n\n### 3. E2E Test Scaffolder\n\nAdvanced tooling for specialized tasks.\n\n**Features:**\n- Expert-level automation\n- Custom configurations\n- Integration ready\n- Production-grade output\n\n**Usage:**\n```bash\npython scripts\u002Fe2e_test_scaffolder.py [arguments] [options]\n```\n\n## Reference Documentation\n\n### Testing Strategies\n\nComprehensive guide available in `references\u002Ftesting_strategies.md`:\n\n- Detailed patterns and practices\n- Code examples\n- Best practices\n- Anti-patterns to avoid\n- Real-world scenarios\n\n### Test Automation Patterns\n\nComplete workflow documentation in `references\u002Ftest_automation_patterns.md`:\n\n- Step-by-step processes\n- Optimization strategies\n- Tool integrations\n- Performance tuning\n- Troubleshooting guide\n\n### Qa Best Practices\n\nTechnical reference guide in `references\u002Fqa_best_practices.md`:\n\n- Technology stack details\n- Configuration examples\n- Integration patterns\n- Security considerations\n- Scalability guidelines\n\n## Tech Stack\n\n**Languages:** TypeScript, JavaScript, Python, Go, Swift, Kotlin\n**Frontend:** React, Next.js, React Native, Flutter\n**Backend:** Node.js, Express, GraphQL, REST APIs\n**Database:** PostgreSQL, Prisma, NeonDB, Supabase\n**DevOps:** Docker, Kubernetes, Terraform, GitHub Actions, CircleCI\n**Cloud:** AWS, GCP, Azure\n\n## Development Workflow\n\n### 1. Setup and Configuration\n\n```bash\n# Install dependencies\nnpm install\n# or\npip install -r requirements.txt\n\n# Configure environment\ncp .env.example .env\n```\n\n### 2. Run Quality Checks\n\n```bash\n# Use the analyzer script\npython scripts\u002Fcoverage_analyzer.py .\n\n# Review recommendations\n# Apply fixes\n```\n\n### 3. Implement Best Practices\n\nFollow the patterns and practices documented in:\n- `references\u002Ftesting_strategies.md`\n- `references\u002Ftest_automation_patterns.md`\n- `references\u002Fqa_best_practices.md`\n\n## Best Practices Summary\n\n### Code Quality\n- Follow established patterns\n- Write comprehensive tests\n- Document decisions\n- Review regularly\n\n### Performance\n- Measure before optimizing\n- Use appropriate caching\n- Optimize critical paths\n- Monitor in production\n\n### Security\n- Validate all inputs\n- Use parameterized queries\n- Implement proper authentication\n- Keep dependencies updated\n\n### Maintainability\n- Write clear code\n- Use consistent naming\n- Add helpful comments\n- Keep it simple\n\n## Common Commands\n\n```bash\n# Development\nnpm run dev\nnpm run build\nnpm run test\nnpm run lint\n\n# Analysis\npython scripts\u002Fcoverage_analyzer.py .\npython scripts\u002Fe2e_test_scaffolder.py --analyze\n\n# Deployment\ndocker build -t app:latest .\ndocker-compose up -d\nkubectl apply -f k8s\u002F\n```\n\n## Troubleshooting\n\n### Common Issues\n\nCheck the comprehensive troubleshooting section in `references\u002Fqa_best_practices.md`.\n\n### Getting Help\n\n- Review reference documentation\n- Check script output messages\n- Consult tech stack documentation\n- Review error logs\n\n## Resources\n\n- Pattern Reference: `references\u002Ftesting_strategies.md`\n- Workflow Guide: `references\u002Ftest_automation_patterns.md`\n- Technical Guide: `references\u002Fqa_best_practices.md`\n- Tool Scripts: `scripts\u002F` directory\n",{"name":5,"description":7},"main","51493f354fd03e3f941d4df7fd64c0b8c7a2632d","skills\u002Fdevelopment\u002Fsenior-qa","https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates","https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi","漏洞研究、根因分析、黑箱測試｜做 AI agent 工具｜Vulnerability research, root-cause analysis, AI agent tooling","2026-08-16 02:24:07",{"source":8,"skillName":5,"commands":32,"prompt":42,"zipAvailable":43},[33,36,39],{"tool":34,"command":35},"npx","npx skills add GongYuanCaiJi\u002Fdsh-claude-code-templates --skill senior-qa",{"tool":37,"command":38},"bunx","bunx skills add GongYuanCaiJi\u002Fdsh-claude-code-templates --skill senior-qa",{"tool":40,"command":41},"pnpm","pnpm dlx skills add GongYuanCaiJi\u002Fdsh-claude-code-templates --skill senior-qa","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fdevelopment\u002Fsenior-qa\u002FSKILL.md",true,[45,51,55,59,65,69],{"path":46,"resourceType":47,"resourceTypeDesc":48,"sizeBytes":49,"sourceHtmlUrl":50},"references\u002Fqa_best_practices.md","REFERENCE","参考文档",1600,"https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fdevelopment\u002Fsenior-qa\u002Freferences\u002Fqa_best_practices.md",{"path":52,"resourceType":47,"resourceTypeDesc":48,"sizeBytes":53,"sourceHtmlUrl":54},"references\u002Ftest_automation_patterns.md",1607,"https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fdevelopment\u002Fsenior-qa\u002Freferences\u002Ftest_automation_patterns.md",{"path":56,"resourceType":47,"resourceTypeDesc":48,"sizeBytes":57,"sourceHtmlUrl":58},"references\u002Ftesting_strategies.md",1601,"https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fdevelopment\u002Fsenior-qa\u002Freferences\u002Ftesting_strategies.md",{"path":60,"resourceType":61,"resourceTypeDesc":62,"sizeBytes":63,"sourceHtmlUrl":64},"scripts\u002Fcoverage_analyzer.py","SCRIPT","脚本",3129,"https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fdevelopment\u002Fsenior-qa\u002Fscripts\u002Fcoverage_analyzer.py",{"path":66,"resourceType":61,"resourceTypeDesc":62,"sizeBytes":67,"sourceHtmlUrl":68},"scripts\u002Fe2e_test_scaffolder.py",3137,"https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fdevelopment\u002Fsenior-qa\u002Fscripts\u002Fe2e_test_scaffolder.py",{"path":70,"resourceType":61,"resourceTypeDesc":62,"sizeBytes":71,"sourceHtmlUrl":72},"scripts\u002Ftest_suite_generator.py",3142,"https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fdevelopment\u002Fsenior-qa\u002Fscripts\u002Ftest_suite_generator.py",[74,81,90,97,104,111],{"skillNo":75,"name":76,"nameZh":6,"description":77,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":78,"categories":79,"keywords":80,"publishedAt":19},"01M7ARMYTZ5D4B7N5SKFXV345V","zapier-make-patterns","No-code automation democratizes workflow building. Zapier and Make (formerly Integromat) let non-developers automate business processes without writing code. But no-code doesn't mean no-complexity - these platforms have their own patterns, pitfalls, and breaking points.  This skill covers when to use which platform, how to build reliable automations, and when to graduate to code-based solutions. Key insight: Zapier optimizes for simplicity and integrations (7000+ apps), Make optimizes for power","https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fworkflow-automation\u002Fzapier-make-patterns\u002FSKILL.md",[],[],{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":85,"licenseFileUrl":86,"sourceHtmlUrl":87,"categories":88,"keywords":89,"publishedAt":19},"01M7ARMX1BVNEAR98SBANMDF2V","yeet","Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).","Apache-2.0","https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fworkflow-automation\u002Fyeet\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fworkflow-automation\u002Fyeet\u002FSKILL.md",[],[],{"skillNo":91,"name":92,"nameZh":6,"description":93,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":94,"categories":95,"keywords":96,"publishedAt":19},"01M7ARMPR4RQ417MG1HMPGNQHH","workflow-automation","Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off.  This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation.  Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility","https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fworkflow-automation\u002Fworkflow-automation\u002FSKILL.md",[],[],{"skillNo":98,"name":99,"nameZh":6,"description":100,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":101,"categories":102,"keywords":103,"publishedAt":19},"01M7ARMHBERDMKGDMV7K6MQ6YP","trigger-dev","Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when: trigger.dev, trigger dev, background task, ai background job, long running task.","https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fworkflow-automation\u002Ftrigger-dev\u002FSKILL.md",[],[],{"skillNo":105,"name":106,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":110,"publishedAt":19},"01M7ARME0A7KFT330Q2H25HE2B","slack-automation","Automate Slack workspace operations including messaging, search, channel management, and reaction workflows through Composio's Slack toolkit.","https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fworkflow-automation\u002Fslack-automation\u002FSKILL.md",[],[],{"skillNo":112,"name":113,"nameZh":6,"description":114,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":115,"categories":116,"keywords":117,"publishedAt":19},"01M7ARM8D87V18WDG0GEZS11ZT","planning-with-files","Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage. Use when starting complex tasks, multi-step projects, research tasks, or when the user mentions planning, organizing work, tracking progress, or wants structured output.","https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fworkflow-automation\u002Fplanning-with-files\u002FSKILL.md",[],[]]