3,611 skills found · Page 94 of 121
decebals / logging-patternsJava logging best practices with SLF4J, structured logging (JSON), and MDC for request tracing. Includes AI-friendly log formats for Claude Code debugging
decebals / architecture-reviewAnalyze Java project architecture at macro level - package structure, module boundaries, dependency direction, and layering
decebals / clean-codeClean Code principles (DRY, KISS, YAGNI), naming, function design and readability
decebals / design-patternsCommon design patterns with Java examples (Factory, Builder, Strategy, Observer, Decorator, etc.)
decebals / java-migrationGuide for upgrading Java projects between major versions (8→11→17→21→25)
decebals / jpa-patternsJPA/Hibernate patterns and common pitfalls (N+1, lazy loading, transactions, queries)
decebals / java-code-reviewSystematic code review for Java with null safety, exception handling, concurrency, and performance checks
dongshuyan / assess-interview-candidate根据候选人简历与岗位要求生成可审计的后台评估、简明的候选人介绍、按岗位重要性排列的简历疑点、12–18 道可直接照读的面试题，以及支持重点标记和本机保存的离线 HTML。用于招聘方准备结构化面试、核验岗位能力和记录回答。不要用于求职者模拟面试、私人背景调查、心理或人格诊断、从敏感属性推断表现，或自动录用、淘汰、排序候选人。
dongshuyan / task-clarifierDeep need-clarification skill. Use only when the user explicitly invokes $task-clarifier. Once activated, keep asking until all three goals are met: the user fully understands their own needs, the AI fully understands the user's needs, and the user confirms the AI's understanding is correct.
dongshuyan / task-forestMaintains a repo-local task forest or task DAG for the current workspace
ethanplusai / crack-panelWork with the opt-in codex-on-crack build panel. Report registered run and review status, submit new screenshot evidence for a registered review, and send the user to the panel to decide. Never record user feedback or visual approval yourself.
ethanplusai / crackLead substantial Codex builds with one configured implementation worker and lead acceptance
JayPokale / ChisleCut your AI coding agent's token bill on three axes: terse prose, YAGNI-first code, and tool-output compression. Claude Code, Pi, Cursor, Codex, Gemini + 4 more. Zero deps, published benchmarks including the runs it loses.
staruhub / a-share-analystA股分析研究助手，提供行情数据获取与技术面/基本面分析框架（仅供研究参考，不构成投资建议）。适用于：(1) 获取A股行情和历史数据，(2) 技术面分析（K线形态、MACD、KDJ、RSI、布林带等），(3) 基本面分析（财务指标、估值分析），(4) 板块热点追踪，(5) 选股策略筛选与量化因子分析，(6) 生成股市分析报告。当用户询问"帮我分析股票"、"今日选股"、"A股行情分析"、"技术分析"、"量化选股"时触发。不用于：预测明日涨跌或给出确定性买卖指令、代客决策、港股美股（数据源不同）、加密货币。
staruhub / university-exam-prep大学备考苏格拉底式学习助手，专为应对"面向课本和PPT考试"设计。当用户说"帮我复习"、"准备考试"、"备考"、"期末复习"、"模拟学习"、"突击复习"等时触发。核心特点：(1)强制要求用户上传课本/PPT/考纲等原始材料——没有材料就无法有效辅导；(2)使用苏格拉底式提问法，不直接灌输而是引导思考；(3)专注于应用型和理解型内容，而非纯概念记忆；(4)模拟真实考试场景进行针对性练习；(5)分析材料识别高频考点和重难点。适用于大学各科目期中期末考试备考、突击复习、考前模拟。
staruhub / keqian-method胥克谦式AI-Native产品开发方法论。适用于：(1) 使用AI Agent（Claude Code、Codex、Cursor等）进行产品级软件开发，(2) 设计和优化Harness/Skill体系，(3) 文档驱动开发(SDD)流程，(4) 构建自动化质量门禁和eval机制，(5) Token成本优化与缓存策略，(6) 产品人转型开发者的AI编程实践。触发场景包括"帮我设计开发流程"、"怎么降低token成本"、"怎么提高AI编码质量"、"文档驱动"、"质量门禁"、"harness设计"、"单agent vs multi-agent"、"自动化迭代"、"AI产品开发"、"SDD"、"eva…
staruhub / xuefeng-method雪峰式AI-Native产品开发方法论。适用于：(1) 用户行为开放、不可穷举的AI-native产品（AI日历、AI助手、AI推荐、对话式产品等），(2) 强模型依赖型场景，AI驱动核心决策而非仅辅助，(3) 多专精Agent架构设计与分工，(4) 上线后快速校准、行为审计与漂移检测，(5) 模型选择和智能路由策略，(6) 概率性输出的质量评估。触发场景包括"AI-native产品怎么做"、"用户行为不可预测怎么办"、"多agent怎么分工"、"模型漂移怎么处理"、"校准到95%太难了"、"唯快不破"、"怎么选模型"、"agent并行分工"、"AI产品上线后怎么迭代"。注意：如果产品是场景明…
staruhub / gaokao-expert资深高考命题专家助手,提供专业的命题指导和评审服务。适用于创作高考试题、评审试题质量、分析试卷结构、了解命题趋势等场景。结合文档工具提取解压文件,使用网络搜索了解当年最新命题趋势,使用分析工具评估题目质量和试卷结构。涵盖"一核四层四翼"评价体系、题型规范、评分标准、命题流程等多个维度。不用于:大学/考研/中考命题(体系不同,仅可借鉴)、日常作业题编写、直接替考生解题。
staruhub / seedream-imagegen用 ByteDance Seedream 4.0 API（经 Segmind）生成 AI 图像。当用户要从文字描述生成营销素材、海报、产品图、概念图、社交媒体配图等高质量图像，且环境配有 SEGMIND_API_KEY 时使用。支持 2K/4K、多比例、单次最多 15 张批量、最多 3 张参考图控风格。不用于：修改/编辑已有图片（用图像编辑类 skill）、视频生成、无 API 环境下的快速配图需求。
staruhub / threejs-performanceThree.js 性能优化指南。当 Three.js/React Three Fiber 项目出现掉帧、内存增长、加载缓慢、绘制调用过多，或需要迁移 WebGPU、实现大规模粒子/实例化渲染、配置资源压缩管线时使用。触发关键词："Three.js 优化"、"WebGPU"、"draw calls"、"内存泄漏"、"TSL"、"InstancedMesh"、"R3F 优化"等。不用于：通用 React 性能问题（用 vercel-react-best-practices）、WebGL/Three.js 入门教学、3D 美术资产的制作本身。
JayPokale / chisle-auditOne-shot efficiency audit of a file, diff, or whole repo across BOTH axes at once: over-engineered code (reinvented stdlib, needless abstractions, speculative config) AND bloated prose (verbose comments, padded docstrings, redundant doc sections).
nexscope-ai / amazon-a-plus-contentAmazon A+ Content strategy and creation. Module layouts, persuasive copy, comparison charts, image briefs, and conversion optimization
nexscope-ai / amazon-buy-boxAmazon Buy Box strategy and optimization framework. Eligibility factor analysis, competitive pricing strategies, FBA vs FBM impact assessment, seller performance optimization, and Buy Box winning tactics
nexscope-ai / amazon-deal-finderAmazon deal planning and promotional strategy optimization. Lightning Deals, Best Deals, Coupons, Prime Exclusive Discounts analysis and ROI calculation. Deal eligibility assessment, timing optimization, and promotional campaign planning
nexscope-ai / amazon-listing-imagesAmazon product listing image strategy and optimization. Comprehensive shot planning, infographic design, lifestyle photography, mobile optimization, and conversion-focused visual content
nexscope-ai / amazon-profit-analyzerComprehensive Amazon profit analysis and revenue optimization. Revenue waterfall analysis, hidden fee identification, ACoS impact assessment, return cost calculation, and profitability optimization strategies
nexscope-ai / amazon-trending-productsTrending products and rising categories discovery for Amazon sellers. Analyzes Best Seller Rank patterns, seasonal trends, new release momentum, and emerging niches. Identifies product opportunities before they peak
nexscope-ai / amazon-fba-prepBuild a product-specific Amazon FBA prep, labeling, packing, and shipment-readiness plan
shinpr / frontend-ai-guideApplies React/TypeScript-specific technical decision criteria, anti-pattern detection, debugging, and frontend quality gates
shinpr / ai-development-guideApplies language-agnostic and backend technical decision criteria, anti-pattern detection, debugging, and quality gates
