Skills de Claude Code · página 69
Skills individuales de Claude Code extraídas de todos los repositorios del directorio: cada SKILL.md, instalable con un comando, con su definición completa y las señales de confianza del repo.
- 24kchengYe/human-skill-treeInstalar
- 24kchengYe/human-skill-treeInstalar
- 24kchengYe/human-skill-treeInstalar
- 24kchengYe/human-skill-treeInstalar
- 24kchengYe/human-skill-treeInstalar
- 24kchengYe/human-skill-treeInstalar
- 24kchengYe/human-skill-treeInstalar
- 24kchengYe/human-skill-treeInstalar
- 24kchengYe/human-skill-treeInstalar
- 24kchengYe/human-skill-treeInstalar
- 24kchengYe/human-skill-treeInstalar
- 24kchengYe/human-skill-treeInstalar
- 24kchengYe/human-skill-treeInstalar
- 24kchengYe/human-skill-treeInstalar
- 24kchengYe/human-skill-treeInstalar
- 24kchengYe/human-skill-treeInstalar
- 24kchengYe/human-skill-treeInstalar
- 24kchengYe/human-skill-treeInstalar
- 24kchengYe/human-skill-treeInstalar
- wiki-manager556
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nvk/llm-wikiInstalar - wiki556
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nvk/llm-wikiInstalar - pm-discovery556
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popup-studio-ai/bkit-claude-codeInstalar - bkit556
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popup-studio-ai/bkit-claude-codeInstalar - audit556
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popup-studio-ai/bkit-claude-codeInstalar - bkend-auth556
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popup-studio-ai/bkit-claude-codeInstalar- bkend-data556
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popup-studio-ai/bkit-claude-codeInstalar- bkit-evals556
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popup-studio-ai/bkit-claude-codeInstalar - bkit-explore556
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popup-studio-ai/bkit-claude-codeInstalar - bkit-rules556
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popup-studio-ai/bkit-claude-codeInstalar- btw556
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popup-studio-ai/bkit-claude-codeInstalar- code-review556
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popup-studio-ai/bkit-claude-codeInstalar - control556
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popup-studio-ai/bkit-claude-codeInstalar - deploy556
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popup-studio-ai/bkit-claude-codeInstalar - desktop-app556
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popup-studio-ai/bkit-claude-codeInstalar- dynamic556
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popup-studio-ai/bkit-claude-codeInstalar - enterprise556
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popup-studio-ai/bkit-claude-codeInstalar - mobile-app556
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popup-studio-ai/bkit-claude-codeInstalar - pdca-batch556
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popup-studio-ai/bkit-claude-codeInstalar- pdca-watch556
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popup-studio-ai/bkit-claude-codeInstalar - pdca556
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popup-studio-ai/bkit-claude-codeInstalar |
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popup-studio-ai/bkit-claude-codeInstalar- phase-4-api556
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popup-studio-ai/bkit-claude-codeInstalar- plan-plus556
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popup-studio-ai/bkit-claude-codeInstalar - qa-phase556
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popup-studio-ai/bkit-claude-codeInstalar Iteratively refine a product spec by debating with multiple LLMs (GPT, Gemini, Grok, etc.) until all models agree. Use when user wants to write or refine a specification document using adversarial development.
zscole/adversarial-specInstalar- boss545
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echoVic/boss-skillInstalar 系统架构设计方法论,包含架构模式选择、系统分层、目录结构设计
echoVic/boss-skillInstalar数据模型和API设计方法论,包含ERD设计、数据字典、RESTful API规范
echoVic/boss-skillInstalar技术调研方法论,通过系统性调研和对比分析,为技术选型提供数据支持
echoVic/boss-skillInstalar后端API开发方法论,包括RESTful/GraphQL设计、请求验证、错误处理和安全实现
echoVic/boss-skillInstalar后端测试编写指南,包括单元测试、集成测试和E2E测试的编写方法和最佳实践
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echoVic/boss-skillInstalar自动生成 CHANGELOG,基于 git 提交历史和 pipeline 产物信息,遵循 Conventional Commits 和 Keep a Changelog 规范
echoVic/boss-skillInstalar部署流程和CI/CD配置,确保安全可靠的部署
echoVic/boss-skillInstalar监控告警配置,确保系统稳定运行
echoVic/boss-skillInstalar前端组件开发方法论,包括组件设计原则、状态管理、样式实现和性能优化
echoVic/boss-skillInstalar前端测试编写指南,包括单元测试、集成测试和E2E测试的编写方法和最佳实践
echoVic/boss-skillInstalar竞品调研和分析方法,通过系统性分析竞品的功能、体验和策略,发现差异化机会
echoVic/boss-skillInstalar产品需求文档(PRD)的标准编写格式和内容要求,确保输出完整、清晰、可执行的产品文档
echoVic/boss-skillInstalar深度挖掘用户需求的方法论,通过5W2H追问和需求分层模型,识别显性、隐性、潜在和惊喜需求
echoVic/boss-skillInstalar从CEO/战略视角进行商业价值评审,评估市场契合度、ROI、竞争优势、风险和战略对齐
echoVic/boss-skillInstalar用户研究方法,通过用户画像和用户旅程图,深入理解目标用户的特征、需求和行为
echoVic/boss-skillInstalarPlaywright E2E 测试完整方法论,涵盖项目初始化、Page Object Model、认证复用、API Mock、视觉回归、多浏览器测试、CI 集成和调试技巧
echoVic/boss-skillInstalar测试执行方法,包含测试框架检测、测试运行、结果解析
echoVic/boss-skillInstalar测试策略和测试金字塔原则,定义单元测试、集成测试、E2E测试的分布和覆盖要求
echoVic/boss-skillInstalar风险评估方法,识别项目风险并制定应对策略
echoVic/boss-skillInstalar任务拆解方法,将需求拆解为可执行的开发任务
echoVic/boss-skillInstalar检测项目技术栈的通用方法,通过分析配置文件识别语言、框架、工具链
echoVic/boss-skillInstalar代码审查方法,包含审查清单、常见问题、最佳实践
echoVic/boss-skillInstalar技术规范和最佳实践,确保代码质量和一致性
echoVic/boss-skillInstalarUI组件规范,定义按钮、输入框、卡片等基础组件的变体、尺寸、状态
echoVic/boss-skillInstalar设计系统规范,包含颜色、字体、间距、圆角、阴影、动效等基础设计token
echoVic/boss-skillInstalar设计变体模式,产出2-3个设计方案及 tradeoff 分析,供用户选择后确定最终方案
echoVic/boss-skillInstalar交互规范,定义加载状态、空状态、反馈机制、动效、无障碍等交互细节
echoVic/boss-skillInstalar- llm-council543
Run any question, idea, or decision through a council of 5 AI advisors who independently analyze it, peer-review each other anonymously, and synthesize a final verdict. Based on Karpathy's LLM Council methodology. MANDATORY TRIGGERS: 'council this', 'run the council', 'war room this', 'pressure-test this', 'stress-test this', 'debate this'. STRONG TRIGGERS (use when combined with a real decision or tradeoff): 'should I X or Y', 'which option', 'what would you do', 'is this the right move', 'validate this', 'get multiple perspectives', 'I can't decide', 'I'm torn between'. Do NOT trigger on simple yes/no questions, factual lookups, or casual 'should I' without a meaningful tradeoff (e.g. 'should I use markdown' is not a council question). DO trigger when the user presents a genuine decision with stakes, multiple options, and context that suggests they want it pressure-tested from multiple angles.
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
nWave-ai/nWaveInstalarReview dimensions for validating agent quality - template compliance, safety, testing, and priority validation
nWave-ai/nWaveInstalarReview dimensions for acceptance test quality - happy path bias, GWT compliance, business language purity, coverage completeness, walking skeleton user-centricity, priority validation, observable behavior assertions, traceability coverage, and walking skeleton boundary proof
nWave-ai/nWaveInstalarDetailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement
nWave-ai/nWaveInstalar5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance
nWave-ai/nWaveInstalarArchitectural style selection decision matrices, trade-off analysis, structural enforcement rules, and combination patterns. Load when choosing or evaluating architecture styles.
nWave-ai/nWaveInstalarComprehensive architecture patterns, methodologies, quality frameworks, and evaluation methods for solution architects. Load when designing system architecture or selecting patterns.
nWave-ai/nWaveInstalarCanonical AT completeness gate — research-anchored 7-category taxonomy (C1-C7) + 15-item mechanical checklist. Paradigm-neutral. Drives acceptance-designer reviewer verdict deterministically.
nWave-ai/nWaveInstalarDomain-specific authoritative source databases, search strategies by topic category, and source freshness rules
nWave-ai/nWaveInstalarBDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and living documentation
nWave-ai/nWaveInstalar