12,210 skills found · Page 327 of 407
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 / api-contract-reviewReview REST API contracts for HTTP semantics, versioning, backward compatibility, and response consistency
decebals / java-code-reviewSystematic code review for Java with null safety, exception handling, concurrency, and performance checks
decebals / maven-dependency-auditAudit Maven dependencies for outdated versions, security vulnerabilities, and conflicts
AgriciDaniel / seo-auditFull website SEO audit with parallel subagent delegation. Crawls up to 500 pages, detects business type, delegates to up to 15 specialists (8 always + 7 conditional), generates health score
AgriciDaniel / seo-flowFLOW framework integration — evidence-led SEO using the Find → Leverage → Optimize → Win loop. Surfaces stage-specific AI prompts from the FLOW knowledge base (41 prompts, CC BY 4.0)
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 / session-handoff-promptCreate a concise continuation prompt that a fresh agent session can paste in to resume a long or degraded session
dongshuyan / task-forestMaintains a repo-local task forest or task DAG for the current workspace
dongshuyan / run-history-skill-builderTurn a completed task, browser flow, artifact pipeline, failure-recovery trace, or repeatedly refined workflow into a new reusable skill package or a reviewed skill-design plan
dongshuyan / run-history-skill-upgraderUse real run evidence, validation failures, source drift, platform drift, and user feedback to plan and, only after explicit approval, apply structural upgrades to an existing skill
dongshuyan / user-profile-keeperLocal user-profile maintenance skill for Codex, Claude Code, OpenClaw, OpenCode, and other agent harnesses. Use only when the user explicitly invokes $user-profile-keeper to create, initialize, update, query, correct, delete, export, or audit a local persistent user profile.
dongshuyan / academic-humanizerDraft, audit, or minimally revise English- or Chinese-language academic prose to reduce formulaic, vacuous, mechanically repetitive, or process-leaking language while preserving claims, evidence strength, logical relations, manuscript-wide terminology identity, document-level pattern variation, and…
ethanplusai / astra-flash-orchestratorPlan and execute substantial multi-file builds, features, migrations, and refactors with Astra as orchestrator and DeepSeek V4.1 Flash as the native Codex implementation worker. Use for phased planning and delegated build execution, including existing Superpowers or GSD plans.
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
Snowflake-Labs / cocoscoutRelevance-ranked context loading — Tier 2 async subagent (Haiku, <5s) that fires after Tier 1 deterministic checks in UserPromptSubmit. Injects ranked context from CocoGrove, CocoContext, Environment Inspector, Prompt Studio, and CocoDream.
staruhub / wechat-article-writer专业微信公众号文章助手，支持四个独立且可组合模式：article 写正文；image-prompts 从文章生成版本化、provider-neutral 的图片提示词 manifest 与稳定占位符，但不调用生图；layout 把文章和 manifest 确定性转换为微信安全的内联 HTML；full-pipeline 串联正文、提示词/占位符和排版。用户提到公众号、微信文章、推文、配图提示词、图片 manifest、公众号排版、内联 HTML 或完整图文流水线时触发。支持企业官号、个人技术博客、活动回顾和产品评测。不用于：带引用的研究报告（用 deep-research）、PPT/组图（用…
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 / mineru-pdf-parser用 MinerU 将复杂PDF文档转换为LLM友好的Markdown/JSON格式。适用于：(1) PDF转Markdown/JSON，(2) 提取PDF中的文本、表格、公式、图像，(3) 解析学术论文、技术文档、商业报告，(4) 为RAG应用准备文档数据，(5) 批量处理PDF。触发关键词："PDF解析"、"PDF转Markdown"、"提取PDF表格/公式"、"MinerU"、"parse PDF"等。不用于：PDF的阅读/填表/签名/拆分合并（用宿主pdf工具）、Word/PPT等非PDF格式解析、只需读几页内容的场景（直接读即可，不必转换）。
staruhub / security-audit全面的代码安全检查和服务器安全审计skill。适用于：(1) 代码漏洞扫描 - 检测SQL注入、XSS、SSRF等OWASP Top 10漏洞，(2) 依赖安全检查 - 识别过时或有漏洞的第三方库，结合实时搜索确认最新CVE，(3) 服务器配置审计 - 检查SSH、防火墙、权限等安全配置，(4) 敏感信息泄露检测 - API密钥、密码、令牌等硬编码检测，(5) 容器安全扫描 - Docker镜像和Kubernetes配置审计，(6) CI/CD安全检查。触发关键词："安全检查"、"漏洞扫描"、"代码审计"、"security audit"、"vulnerability scan"、"SAST"…
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 / llm-wikiBuild and maintain a structured LLM-generated wiki for any codebase
