
Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.
Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.
Next.js 16+ and Turbopack — incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.
認証の追加、ユーザー入力の処理、シークレットの操作、APIエンドポイントの作成、支払い/機密機能の実装時にこのスキルを使用します。包括的なセキュリティチェックリストとパターンを提供します。
任意の自動コンパクションではなく、タスクフェーズを通じてコンテキストを保持するための論理的な間隔での手動コンパクションを提案します。
훅을 통해 세션을 관찰하고, 신뢰도 점수가 있는 원자적 본능을 생성하며, 이를 스킬/명령어/에이전트로 진화시키는 본능 기반 학습 시스템. v2.1에서는 프로젝트 간 오염을 방지하기 위한 프로젝트 범위 본능이 추가되었습니다.
作为代理工程师,采用评估优先执行、分解和成本感知模型路由进行操作。
后端架构模式、API设计、数据库优化以及适用于Node.js、Express和Next.js API路由的服务器端最佳实践。
跨X、LinkedIn、Threads和Bluesky的多平台内容分发。使用内容引擎模式根据平台适配内容。从不跨平台发布相同内容。当用户希望跨社交平台分发内容时使用。
使用SHA-256内容哈希缓存昂贵的文件处理结果——路径无关、自动失效、服务层分离。
自动从Claude Code会话中提取可重复使用的模式,并将其保存为学习到的技能以供将来使用。
Playwright E2E 测试模式、页面对象模型、配置、CI/CD 集成、工件管理和不稳定测试策略。
Go测试模式包括表格驱动测试、子测试、基准测试、模糊测试和测试覆盖率。遵循TDD方法论,采用地道的Go实践。
JetBrains Exposed ORM 模式,包括 DSL 查询、DAO 模式、事务、HikariCP 连接池、Flyway 迁移和仓库模式。
用于构建健壮、高效且可维护的Go应用程序的惯用Go模式、最佳实践和约定。
逐步优化上下文检索以解决子代理上下文问题的模式
Ktor 服务器模式,包括路由 DSL、插件、身份验证、Koin DI、kotlinx.serialization、WebSockets 和 testApplication 测试。
惯用的Kotlin模式、最佳实践和约定,用于构建健壮、高效且可维护的Kotlin应用程序,包括协程、空安全和DSL构建器。
Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.
--- name: prompt-optimizer description: 分析原始提示,识别意图和差距,匹配ECC组件(技能/命令/代理/钩子),并输出一个可直接粘贴的优化提示。仅提供咨询角色——绝不自行执行任务。触发时机:当用户说“优化提示”、“改进我的提示”、“如何编写提示”、“帮我优化这个指令”或明确要求提高提示质量时。中文等效表达同样触发:“优化prompt”、“改进prompt”、“怎么写prompt”、“帮我优化这个指令”。不触发时机:当用户希望直接执行任务,或说“直接做”时。不触发时机:当用户说“优化代码”、“优化性能”、“optimize performance”、“optimize this code”时——这些是重构/性能优化任务,而非提示优化。origin: community metadata: author: YannJY02 version: "1.0.0" --- # Prompt 优化器 分析一个草稿提示,对其进行评估,匹配到 ECC 生态系统组件,并输出一个完整的优化提示供用户复制粘贴并运行。 ## 何时使用 * 用户说“优化这个
Java Spring Boot 服务中认证/授权、验证、CSRF、密钥、标头、速率限制和依赖安全性的 Spring Security 最佳实践。
SwiftUI 架构模式,使用 @Observable 进行状态管理,视图组合,导航,性能优化,以及现代 iOS/macOS UI 最佳实践。
基于协议的依赖注入,用于可测试的Swift代码——使用聚焦协议和Swift Testing模拟文件系统、网络和外部API。
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
视频与音频的查看、理解与行动。查看:从本地文件、URL、RTSP/直播源或实时录制桌面获取内容;返回实时上下文和可播放流链接。理解:提取帧,构建视觉/语义/时间索引,并通过时间戳和自动剪辑搜索片段。行动:转码和标准化(编解码器、帧率、分辨率、宽高比),执行时间线编辑(字幕、文本/图像叠加、品牌化、音频叠加、配音、翻译),生成媒体资源(图像、音频、视频),并为直播流或桌面捕获的事件创建实时警报。
将签证申请文件(图片)翻译成英文,并创建包含原文和译文的双语PDF
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles
Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.
Interactive installer for Everything Claude Code — guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.
Compose Multiplatform and Jetpack Compose patterns for KMP projects — state management, navigation, theming, performance, and platform-specific UI.
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.
Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.
Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.
Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.
Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.
Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.
Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.
JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.
Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.
Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.
Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.
Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.
Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.
Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.
自主Claude代码循环的模式与架构——从简单的顺序管道到基于RFC的多智能体有向无环图系统。
通过Exa MCP进行神经搜索,适用于网络、代码和公司研究。当用户需要网络搜索、代码示例、公司情报、人员查找,或使用Exa神经搜索引擎进行AI驱动的深度研究时使用。
Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.
Anthropic Claude API 的 Python 和 TypeScript 使用模式。涵盖 Messages API、流式处理、工具使用、视觉功能、扩展思维、批量处理、提示缓存和 Claude Agent SDK。适用于使用 Claude API 或 Anthropic SDK 构建应用程序的场景。
设计和优化AI代理的动作空间、工具定义和观察格式,以提高完成率。
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
Engineering operating model for teams where AI agents generate a large share of implementation output.
Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.
适用于Android和Kotlin多平台项目的Clean Architecture模式——模块结构、依赖规则、用例、仓库以及数据层模式。
REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.
Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
--- name: blueprint description: 将单行目标转化为多会话、多代理工程项目的分步构建计划。每个步骤包含独立的上下文简介,以便新代理能直接执行。包括对抗性审查门、依赖图、并行步骤检测、反模式目录和计划突变协议。触发条件:当用户请求复杂多PR任务的计划、蓝图或路线图,或描述需要多个会话的工作时。不触发条件:任务可在单个PR或少于3个工具调用中完成,或用户说“直接执行”时。origin: community --- # Blueprint — 施工计划生成器 将单行目标转化为分步施工计划,任何编码代理都能冷启动执行。 ## 何时使用 * 将大型功能拆分为多个具有明确依赖顺序的 PR * 规划跨多个会话的重构或迁移 * 协调子代理间的并行工作流 * 任何因会话间上下文丢失而导致返工的任务 **请勿用于** 可在单个 PR 内完成、少于 3 次工具调用,或用户明确表示“直接做”的任务。 ## 工作原理 Blueprint 运行一个 5 阶段流水线: 1. **研究** — 预检(git、gh auth、远程仓库、默认分支),然后读取项目结构、现有计划
Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says "just do it".
평가 주도 개발(EDD) 원칙을 구현하는 Claude Code 세션용 공식 평가 프레임워크
苹果FoundationModels框架用于设备上的LLM——文本生成、使用@Generable进行引导生成、工具调用,以及在iOS 26+中的快照流。
Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.
Orchestrate multi-agent coding tasks via Claude DevFleet — plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.
고성능 분석 워크로드를 위한 ClickHouse 데이터베이스 패턴, 쿼리 최적화, 분석 및 데이터 엔지니어링 모범 사례.
ClickHouse数据库模式、查询优化、分析以及高性能分析工作负载的数据工程最佳实践。
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.
适用于TypeScript、JavaScript、React和Node.js开发的通用编码标准、最佳实践和模式。
Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.
Everything Claude Code のインタラクティブなインストーラー — スキルとルールの選択とインストールをユーザーレベルまたはプロジェクトレベルのディレクトリへガイドし、パスを検証し、必要に応じてインストールされたファイルを最適化します。
Everything Claude Code 的交互式安装程序 — 引导用户选择并安装技能和规则到用户级或项目级目录,验证路径,并可选择优化已安装文件。
为X、LinkedIn、TikTok、YouTube、新闻通讯和跨平台重新利用的多平台活动创建平台原生内容系统。适用于当用户需要社交媒体帖子、帖子串、脚本、内容日历,或一个源资产在多个平台上清晰适配时。
Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.
Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.
具有质量门、评估和恢复控制的连续自主代理循环模式。
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
Claude Code 세션에서 재사용 가능한 패턴을 자동으로 추출하여 향후 사용을 위한 학습된 스킬로 저장합니다.
Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.
基于本能的学习系统,通过钩子观察会话,创建带置信度评分的原子本能,并将其进化为技能/命令/代理。v2.1版本增加了项目范围的本能,以防止跨项目污染。
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
LLM API 使用成本优化模式 —— 基于任务复杂度的模型路由、预算跟踪、重试逻辑和提示缓存。
基于C++核心指南(isocpp.github.io)的C++编码标准。在编写、审查或重构C++代码时使用,以强制实施现代、安全和惯用的实践。
C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.
C++ テストの作成/更新/修正、GoogleTest/CTest の設定、失敗またはフレーキーなテストの診断、カバレッジ/サニタイザーの追加時にのみ使用します。
Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.
--- name: customs-trade-compliance description: 海关文件、关税分类、关税优化、受限方筛查以及多司法管辖区法规合规的编码化专业知识。由拥有15年以上经验的贸易合规专家提供。包括HS分类逻辑、Incoterms应用、自贸协定利用以及罚款减免。适用于处理海关清关、关税分类、贸易合规、进出口文件或关税优化时使用。license: Apache-2.0 version: 1.0.0 homepage: https://github.com/affaan-m/everything-claude-code origin: ECC metadata: author: evos clawdbot: emoji: "🌐" --- # 海关与贸易合规 ## 角色与背景 您是一位拥有 15 年以上经验的高级贸易合规专家,负责管理美国、欧盟、英国和亚太地区的海关业务。您处于进口商、出口商、海关经纪人、货运代理、政府机构和法律顾问的交汇点。您使用的系统包括 ACE(自动化商业环境)、CHIEF/CDS(英国)、ATLAS(德国)、海关经纪人门
使用firecrawl和exa MCPs进行多源深度研究。搜索网络、综合发现并交付带有来源引用的报告。适用于用户希望对任何主题进行有证据和引用的彻底研究时。
部署工作流、CI/CD流水线模式、Docker容器化、健康检查、回滚策略以及Web应用程序的生产就绪检查清单。
Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.
--- name: django-verification description: Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR. --- # Django 検証ループ PR前、大きな変更後、デプロイ前に実行して、Djangoアプリケーションの品質とセキュリティを確保します。 ## フェーズ1: 環境チェック ```bash # Pythonバージョンを確認 python --version # プロジェクト要件と一致すること # 仮想環境をチェック which python pip list --outdated # 環境変数を確認 python -c "import os; import environ; print('DJANGO_SECRET_KEY set' if os.environ.get('DJANGO_
Django项目的验证循环:迁移、代码检查、带覆盖率的测试、安全扫描,以及在发布或PR前的部署就绪检查。
使用dmux(AI代理的tmux窗格管理器)进行多代理编排。跨Claude Code、Codex、OpenCode及其他工具的并行代理工作流模式。适用于并行运行多个代理会话或协调多代理开发工作流时。
Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.
Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).
--- name: energy-procurement description: 电力与燃气采购、电价优化、需量电费管理、可再生能源购电协议评估及多设施能源成本管理的编码化专业知识。基于能源采购经理在大型工商业用户中超过15年的经验。包括市场结构分析、对冲策略、负荷分析和可持续性报告框架。适用于采购能源、优化电价、管理需量电费、评估购电协议或制定能源策略时使用。license: Apache-2.0 version: 1.0.0 homepage: https://github.com/affaan-m/everything-claude-code origin: ECC metadata: author: evos clawdbot: emoji: "⚡" --- # 能源采购 ## 角色与背景 您是一家大型工商业用户的资深能源采购经理,该用户在受监管和放松管制的电力市场中拥有多处设施。您管理着分布在10-50多个站点的年度能源支出,金额在1500万至8000万美元之间,这些站点包括制造工厂、配送中心、企业办公室和冷藏设施。您负责整个采购生命周期:费率分析、供
Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.
通过可观测性、安全边界和生命周期管理来操作长期运行的代理工作负载。
Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.
React、Next.js、状態管理、パフォーマンス最適化、UIベストプラクティスのためのフロントエンド開発パターン。
Thread-safe data persistence in Swift using actors — in-memory cache with file-backed storage, eliminating data races by design.
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.
견고하고 효율적이며 유지보수 가능한 Go 애플리케이션 구축을 위한 관용적 Go 패턴, 모범 사례 및 규칙.
Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.
테이블 주도 테스트, 서브테스트, 벤치마크, 퍼징, 테스트 커버리지를 포함한 Go 테스팅 패턴. 관용적 Go 관행과 함께 TDD 방법론을 따릅니다.
Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.
Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.
草拟冷邮件、热情介绍简介、跟进邮件、更新邮件和投资者沟通以筹集资金。当用户需要向天使投资人、风险投资公司、战略投资者或加速器进行推广,并需要简洁、个性化的面向投资者的消息时使用。
Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.
サブエージェントのコンテキスト問題を解決するために、コンテキスト取得を段階的に洗練するパターン
Pattern for progressively refining context retrieval to solve the subagent context problem
使用Kotest、MockK、协程测试、基于属性的测试和Kover覆盖率的Kotlin测试模式。遵循TDD方法论和地道的Kotlin实践。
Pattern for progressively refining context retrieval to solve the subagent context problem
Spring Boot服务的Java编码标准:命名、不可变性、Optional用法、流、异常、泛型和项目布局。
Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.
Kotlin Coroutines and Flow patterns for Android and KMP — structured concurrency, Flow operators, StateFlow, error handling, and testing.
JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.
iOS 26 液态玻璃设计系统 — 适用于 SwiftUI、UIKit 和 WidgetKit 的动态玻璃材质,具有模糊、反射和交互式变形效果。
iOS 26 Liquid Glass design system — dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.
--- name: logistics-exception-management description: 针对货运异常、货物延误、损坏、丢失和承运商纠纷的编码化专业知识,由拥有15年以上运营经验的物流专业人士提供。包括升级协议、承运商特定行为、索赔程序和判断框架。在处理运输异常、货运索赔、交付问题或承运商纠纷时使用。license: Apache-2.0 version: 1.0.0 homepage: https://github.com/affaan-m/everything-claude-code origin: ECC metadata: author: evos clawdbot: emoji: "📦" --- # 物流异常管理 ## 角色与背景 您是一名拥有15年以上经验的高级货运异常分析师,负责管理所有运输模式(零担、整车、包裹、联运、海运和空运)的运输异常。您处于托运人、承运人、收货人、保险提供商和内部利益相关者的交汇点。您使用的系统包括TMS(运输管理系统)、WMS(仓储管理系统)、承运商门户、理赔管理平台和ERP订单管理系统。您的工作是快速
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.
Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.
操作并扩展NanoClaw v2,这是ECC基于claude -p构建的零依赖会话感知REPL。
Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.
全面的Perl安全指南,涵盖污染模式、输入验证、安全进程执行、DBI参数化查询、Web安全(XSS/SQLi/CSRF)以及perlcritic安全策略。
Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
쿼리 최적화, 스키마 설계, 인덱싱, 보안을 위한 PostgreSQL 데이터베이스 패턴. Supabase 모범 사례 기반.
--- name: production-scheduling description: 为离散和批量制造中的生产调度、作业排序、产线平衡、换模优化和瓶颈解决提供编码化专业知识。基于拥有15年以上经验的生产调度师的知识。包括约束理论/鼓-缓冲-绳、快速换模、设备综合效率分析、中断响应框架以及企业资源计划/制造执行系统交互模式。适用于调度生产、解决瓶颈、优化换模、应对中断或平衡制造产线时。license: Apache-2.0 version: 1.0.0 homepage: https://github.com/affaan-m/everything-claude-code origin: ECC metadata: author: evos clawdbot: emoji: "🏭" --- # 生产排程 ## 角色与背景 您是一家离散型和批量生产工厂的高级生产排程员,该工厂运营着3-8条生产线,每班有50-300名直接劳动力。您负责管理跨越工作中心(包括机加工、装配、精加工和包装)的作业排序、产线平衡、换产优化和中断响应。您的系统包括ERP(SAP PP、Or
Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.
# プロジェクトガイドラインスキル(例) これはプロジェクト固有のスキルの例です。自分のプロジェクトのテンプレートとして使用してください。 実際の本番アプリケーションに基づいています:[Zenith](https://zenith.chat) - AI駆動の顧客発見プラットフォーム。 --- ## 使用するタイミング このスキルが設計された特定のプロジェクトで作業する際に参照してください。プロジェクトスキルには以下が含まれます: - アーキテクチャの概要 - ファイル構造 - コードパターン - テスト要件 - デプロイメントワークフロー --- ## アーキテクチャの概要 **技術スタック:** - **フロントエンド**: Next.js 15 (App Router), TypeScript, React - **バックエンド**: FastAPI (Python), Pydanticモデル - **データベース**: Supabase (PostgreSQL) - **AI**: Claudeツール呼び出しと構造化出力付きAPI - **デプロイメント**: G
실제 프로덕션 애플리케이션을 기반으로 한 프로젝트별 스킬 템플릿 예시.
# 專案指南技能(範例) 這是專案特定技能的範例。使用此作為你自己專案的範本。 基於真實生產應用程式:[Zenith](https://zenith.chat) - AI 驅動的客戶探索平台。 --- ## 何時使用 在處理專案特定設計時參考此技能。專案技能包含: - 架構概覽 - 檔案結構 - 程式碼模式 - 測試要求 - 部署工作流程 --- ## 架構概覽 **技術堆疊:** - **前端**:Next.js 15(App Router)、TypeScript、React - **後端**:FastAPI(Python)、Pydantic 模型 - **資料庫**:Supabase(PostgreSQL) - **AI**:Claude API 帶工具呼叫和結構化輸出 - **部署**:Google Cloud Run - **測試**:Playwright(E2E)、pytest(後端)、React Testing Library **服務:** ``` ┌────────────────────────────────────────────────────
Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only — never executes the task itself. TRIGGER when: user says "optimize prompt", "improve my prompt", "how to write a prompt for", "help me prompt", "rewrite this prompt", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: "优化prompt", "改进prompt", "怎么写prompt", "帮我优化这个指令". DO NOT TRIGGER when: user wants the task executed directly, or says "just do it" / "直接做". DO NOT TRIGGER when user says "优化代码", "优化性能", "optimize performance", "optimize this code" — those are refactoring/performance tasks, not prompt optimization.
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.
--- name: quality-nonconformance description: 为受监管制造业中的质量控制、不合格调查、根本原因分析、纠正措施和供应商质量管理提供编码化专业知识。基于在FDA、IATF 16949和AS9100环境中拥有15年以上经验的质量工程师的见解。包括不合格报告生命周期管理、纠正与预防措施系统、统计过程控制解释和审核方法。适用于调查不合格、进行根本原因分析、管理纠正与预防措施、解释统计过程控制数据或处理供应商质量问题。license: Apache-2.0 version: 1.0.0 homepage: https://github.com/affaan-m/everything-claude-code origin: ECC metadata: author: evos clawdbot: emoji: "🔍" --- # 质量与不合格品管理 ## 角色与背景 您是一位拥有15年以上受监管制造环境经验的高级质量工程师——涉及FDA 21 CFR 820(医疗器械)、IATF 16949(汽车)、AS9100(航空航天)和IS
基于RFC驱动的多智能体DAG执行模式,包含质量门、合并队列和工作单元编排。
选择在解析结构化文本时使用正则表达式还是大型语言模型的决策框架——从正则表达式开始,仅在低置信度的边缘情况下添加大型语言模型。
--- name: returns-reverse-logistics description: 用于退货授权、接收与检验、处置决策、退款处理、欺诈检测以及保修索赔管理的标准化专业知识。基于拥有15年以上经验的退货运营经理的见解。包括分级框架、处置经济学、欺诈模式识别和供应商回收流程。适用于处理产品退货、逆向物流、退款决策、退货欺诈检测或保修索赔时使用。license: Apache-2.0 version: 1.0.0 homepage: https://github.com/affaan-m/everything-claude-code origin: ECC metadata: author: evos clawdbot: emoji: "🔄" --- # 退货与逆向物流 ## 角色与背景 您是一位拥有15年以上经验的高级退货运营经理,负责处理零售、电子商务和全渠道环境下的完整退货生命周期。您的职责范围涵盖退货授权(RMA)、收货与检验、状况分级、处置路径规划、退款与信用处理、欺诈检测、供应商回收(RTV)以及保修索赔管理。您使用的系统包括OMS(订单管理
在添加身份验证、处理用户输入、处理机密信息、创建API端点或实现支付/敏感功能时使用此技能。提供全面的安全检查清单和模式。
使用AgentShield扫描您的Claude代码配置(.claude/目录),以发现安全漏洞、配置错误和注入风险。检查CLAUDE.md、settings.json、MCP服务器、钩子和代理定义。
Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.
用于审计Claude技能和命令的质量。支持快速扫描(仅变更技能)和全面盘点模式,采用顺序子代理批量评估。
Spring Boot架构模式、REST API设计、分层服务、数据访问、缓存、异步处理和日志记录。用于Java Spring Boot后端工作。
Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.
Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.
使用JUnit 5、Mockito、MockMvc、Testcontainers和JaCoCo进行Spring Boot的测试驱动开发。适用于添加功能、修复错误或重构时。
임의의 자동 컴팩션 대신 논리적 간격에서 수동 컨텍스트 압축을 제안하여 작업 단계를 통해 컨텍스트를 보존합니다.
Spring Boot项目验证循环:构建、静态分析、测试覆盖、安全扫描,以及发布或PR前的差异审查。
Swift 6.2 可接近的并发性 — 默认单线程,@concurrent 用于显式后台卸载,隔离一致性用于主 actor 类型。
SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.
新機能の作成、バグ修正、コードのリファクタリング時にこのスキルを使用します。ユニット、統合、E2Eテストを含む80%以上のカバレッジでテスト駆動開発を強制します。
Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.
새 기능 작성, 버그 수정 또는 코드 리팩터링 시 이 스킬을 사용하세요. 단위, 통합, E2E 테스트를 포함한 80% 이상의 커버리지로 테스트 주도 개발을 시행합니다.
在编写新功能、修复错误或重构代码时使用此技能。强制执行测试驱动开发,确保单元测试、集成测试和端到端测试的覆盖率超过80%。
Interactive agent picker for composing and dispatching parallel teams
A comprehensive verification system for Claude Code sessions.
AI辅助的视频编辑工作流程,用于剪辑、构建和增强实拍素材。涵盖从原始拍摄到FFmpeg、Remotion、ElevenLabs、fal.ai,再到Descript或CapCut最终润色的完整流程。适用于用户想要编辑视频、剪辑素材、制作vlog或构建视频内容的情况。
AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.
X/Twitter API集成,用于发布推文、线程、读取时间线、搜索和分析。涵盖OAuth认证模式、速率限制和平台原生内容发布。当用户希望以编程方式与X交互时使用。
现代 Perl 5.36+ 的惯用法、最佳实践和约定,用于构建稳健、可维护的 Perl 应用程序。
使用Test2::V0、Test::More、prove runner、模拟、Devel::Cover覆盖率和TDD方法的Perl测试模式。
通过 fal.ai MCP 实现统一的媒体生成——图像、视频和音频。涵盖文本到图像(Nano Banana)、文本/图像到视频(Seedance、Kling、Veo 3)、文本到语音(CSM-1B),以及视频到音频(ThinkSound)。当用户想要使用 AI 生成图像、视频或音频时使用。
研究优先于编码的工作流程。在编写自定义代码之前,搜索现有的工具、库和模式。调用研究员代理。
Kotlin协程与Flow在Android和KMP中的模式——结构化并发、Flow操作符、StateFlow、错误处理和测试。
使用Plankton进行编写时代码质量强制执行——通过钩子在每次文件编辑时自动格式化、代码检查和Claude驱动的修复。
从零开始或通过转换PowerPoint文件创建令人惊艳、动画丰富的HTML演示文稿。当用户想要构建演示文稿、将PPT/PPTX转换为网页格式,或为演讲/推介创建幻灯片时使用。帮助非设计师通过视觉探索而非抽象选择发现他们的美学。
克劳德代码会话的正式评估框架,实施评估驱动开发(EDD)原则
Django 安全最佳实践、认证、授权、CSRF 防护、SQL 注入预防、XSS 预防和安全部署配置。
Claude Codeセッションから再利用可能なパターンを自動的に抽出し、将来の使用のために学習済みスキルとして保存します。
Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.
Spring Bootサービス向けのJavaコーディング標準:命名、不変性、Optional使用、ストリーム、例外、ジェネリクス、プロジェクトレイアウト。
JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.
Nutrient DWS API を使用してドキュメントの処理、変換、OCR、抽出、編集、署名、フォーム入力を行います。PDF、DOCX、XLSX、PPTX、HTML、画像に対応しています。
Pythonic イディオム、PEP 8標準、型ヒント、堅牢で効率的かつ保守可能なPythonアプリケーションを構築するためのベストプラクティス。
AgentShield を使用して、Claude Code の設定(.claude/ ディレクトリ)のセキュリティ脆弱性、設定ミス、インジェクションリスクをスキャンします。CLAUDE.md、settings.json、MCP サーバー、フック、エージェント定義をチェックします。
Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.
Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.
--- name: springboot-verification description: Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR. --- # Spring Boot 検証ループ PR前、大きな変更後、デプロイ前に実行します。 ## フェーズ1: ビルド ```bash mvn -T 4 clean verify -DskipTests # または ./gradlew clean assemble -x test ``` ビルドが失敗した場合は、停止して修正します。 ## フェーズ2: 静的解析 Maven(一般的なプラグイン): ```bash mvn -T 4 spotbugs:check pmd:check checkstyle:check ``` Gradle(設定されている場合): ```bash ./gradlew
# 検証ループスキル Claude Codeセッション向けの包括的な検証システム。 ## 使用タイミング このスキルを呼び出す: - 機能または重要なコード変更を完了した後 - PRを作成する前 - 品質ゲートが通過することを確認したい場合 - リファクタリング後 ## 検証フェーズ ### フェーズ1: ビルド検証 ```bash # プロジェクトがビルドできるか確認 npm run build 2>&1 | tail -20 # または pnpm build 2>&1 | tail -20 ``` ビルドが失敗した場合、停止して続行前に修正。 ### フェーズ2: 型チェック ```bash # TypeScriptプロジェクト npx tsc --noEmit 2>&1 | head -30 # Pythonプロジェクト pyright . 2>&1 | head -30 ``` すべての型エラーを報告。続行前に重要なものを修正。 ### フェーズ3: Lintチェック ```bash # JavaScript/TypeScript npm run lint
Node.js, Express, Next.js API 라우트를 위한 백엔드 아키텍처 패턴, API 설계, 데이터베이스 최적화 및 서버 사이드 모범 사례.
TypeScript, JavaScript, React, Node.js 개발을 위한 범용 코딩 표준, 모범 사례 및 패턴.
React, Next.js, 상태 관리, 성능 최적화 및 UI 모범 사례를 위한 프론트엔드 개발 패턴.
서브에이전트 컨텍스트 문제를 해결하기 위한 점진적 컨텍스트 검색 개선 패턴
인증 추가, 사용자 입력 처리, 시크릿 관리, API 엔드포인트 생성, 결제/민감한 기능 구현 시 이 스킬을 사용하세요. 포괄적인 보안 체크리스트와 패턴을 제공합니다.
Claude Code 세션을 위한 포괄적인 검증 시스템.
团队中人工智能代理生成大部分实施输出的工程运营模型。
根据提供的示例或品牌指导,以独特的语气撰写文章、指南、博客帖子、教程、新闻简报等长篇内容。当用户需要超过一段的精致书面内容时使用,尤其是当语气一致性、结构和可信度至关重要时。
--- name: carrier-relationship-management description: 用于管理承运商组合、协商运费、跟踪承运商绩效、分配货运以及维护战略承运商关系的编码专业知识。基于拥有15年以上经验的运输经理提供的信息。包括记分卡框架、RFP流程、市场情报和合规性审查。适用于管理承运商、协商费率、评估承运商绩效或制定货运策略时使用。license: Apache-2.0 version: 1.0.0 homepage: https://github.com/affaan-m/everything-claude-code origin: ECC metadata: author: evos clawdbot: emoji: "🤝" --- # 承运商关系管理 ## 角色与背景 您是一名拥有15年以上经验的资深运输经理,管理着从40家到200多家活跃承运商的组合,涵盖整车运输、零担运输、联运和经纪业务。您负责全生命周期管理:寻找新承运商、协商费率、执行RFP、建立路由指南、通过记分卡跟踪绩效、管理合同续签以及做出运力分配决策。您使用的系统包
KMP项目中的Compose Multiplatform和Jetpack Compose模式——状态管理、导航、主题化、性能优化和平台特定UI。
仅用于编写/更新/修复C++测试、配置GoogleTest/CTest、诊断失败或不稳定的测试,或添加覆盖率/消毒器时使用。
Django 测试策略,包括 pytest-django、TDD 方法、factory_boy、模拟、覆盖率以及测试 Django REST Framework API。
React、Next.js、状态管理、性能优化和UI最佳实践的前端开发模式。
创建和更新宣传文稿、一页简介、投资者备忘录、加速器申请、财务模型和融资材料。当用户需要面向投资者的文件、预测、资金用途表、里程碑计划或必须在多个融资资产中保持内部一致性的材料时使用。
--- name: inventory-demand-planning description: 为多地点零售商提供需求预测、安全库存优化、补货规划及促销提升估算的编码化专业知识。基于拥有15年以上管理数百个SKU经验的需求规划师的专业知识。包括预测方法选择、ABC/XYZ分析、季节性过渡管理及供应商谈判框架。适用于预测需求、设定安全库存、规划补货、管理促销或优化库存水平时使用。license: Apache-2.0 version: 1.0.0 homepage: https://github.com/affaan-m/everything-claude-code origin: ECC metadata: author: evos clawdbot: emoji: "📊" --- # 库存需求规划 ## 角色与背景 你是一家拥有40-200家门店及区域配送中心的多地点零售商的高级需求规划师。你负责管理300-800个活跃SKU,涵盖杂货、日用百货、季节性商品和促销品等多个品类。你的系统包括需求规划套件(Blue Yonder、Oracle Demantra或
Spring Boot中的JPA/Hibernate模式,用于实体设计、关系处理、查询优化、事务管理、审计、索引、分页和连接池。
进行市场研究、竞争分析、投资者尽职调查和行业情报,附带来源归属和决策导向的摘要。适用于用户需要市场规模、竞争对手比较、基金研究、技术扫描或为商业决策提供信息的研究时。
使用Nutrient DWS API处理、转换、OCR识别、提取、编辑、签名和填写文档。支持PDF、DOCX、XLSX、PPTX、HTML和图像格式。
用于查询优化、模式设计、索引和安全性的PostgreSQL数据库模式。基于Supabase最佳实践。
Pythonic 惯用法、PEP 8 标准、类型提示以及构建稳健、高效且可维护的 Python 应用程序的最佳实践。
建议在逻辑间隔处手动压缩上下文,以在任务阶段中保留上下文,而非任意的自动压缩。
在 Swift 中使用 actor 实现线程安全的数据持久化——基于内存缓存与文件支持的存储,通过设计消除数据竞争。
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
# 驗證循環技能 Claude Code 工作階段的完整驗證系統。 ## 何時使用 在以下情況呼叫此技能: - 完成功能或重大程式碼變更後 - 建立 PR 前 - 想確保品質門檻通過時 - 重構後 ## 驗證階段 ### 階段 1:建置驗證 ```bash # 檢查專案是否建置 npm run build 2>&1 | tail -20 # 或 pnpm build 2>&1 | tail -20 ``` 如果建置失敗,停止並在繼續前修復。 ### 階段 2:型別檢查 ```bash # TypeScript 專案 npx tsc --noEmit 2>&1 | head -30 # Python 專案 pyright . 2>&1 | head -30 ``` 報告所有型別錯誤。繼續前修復關鍵錯誤。 ### 階段 3:Lint 檢查 ```bash # JavaScript/TypeScript npm run lint 2>&1 | head -30 # Python ruff check . 2>&1 | head -30 ``` ### 階段 4:測試套
Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns.
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching.
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.
Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.
Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.
Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.
Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.
Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.
Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.
Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.
Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.
Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.
Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.
Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.
Operate and extend NanoClaw v2, ECC's zero-dependency session-aware REPL built on claude -p.
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
Example project-specific skill template based on a real production application.
RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.
Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.
Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.
Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.
Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
Swift 6.2 Approachable Concurrency — single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.
Protocol-based dependency injection for testable Swift code — mock file system, network, and external APIs using focused protocols and Swift Testing.
Translate visa application documents (images) to English and create a bilingual PDF with original and translation
X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.
TypeScript、JavaScript、React、Node.js開発のための汎用コーディング標準、ベストプラクティス、パターン。
フックを介してセッションを観察し、信頼度スコアリング付きのアトミックなインスティンクトを作成し、スキル/コマンド/エージェントに進化させるインスティンクトベースの学習システム。
Claude Codeセッションの正式な評価フレームワークで、評価駆動開発(EDD)の原則を実装します
堅牢で効率的かつ保守可能なGoアプリケーションを構築するための慣用的なGoパターン、ベストプラクティス、規約。
テスト駆動開発とGoコードの高品質を保証するための包括的なテスト戦略。
pytest、TDD手法、フィクスチャ、モック、パラメータ化、カバレッジ要件を使用したPythonテスト戦略。
--- name: laravel-verification description: Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness. origin: ECC --- # Laravel Verification Loop Run before PRs, after major changes, and pre-deploy. ## When to Use - Before opening a pull request for a Laravel project - After major refactors or dependency upgrades - Pre-deployment verification for staging or production - Running full lint -> test -> security ->
Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Django, TypeORM, golang-migrate).
Write-time code quality enforcement using Plankton — auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.
Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.
REST API设计模式,包括资源命名、状态码、分页、过滤、错误响应、版本控制和生产API的速率限制。
数据库迁移最佳实践,涵盖模式变更、数据迁移、回滚以及零停机部署,适用于PostgreSQL、MySQL及常用ORM(Prisma、Drizzle、Django、TypeORM、golang-migrate)。
Django架构模式,使用DRF设计REST API,ORM最佳实践,缓存,信号,中间件,以及生产级Django应用程序。
用于本地开发的Docker和Docker Compose模式,包括容器安全、网络、卷策略和多服务编排。
基于真实生产应用的示例项目特定技能模板。
使用pytest的Python测试策略,包括TDD方法、夹具、模拟、参数化和覆盖率要求。
Claude Code 会话的全面验证系统。
Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.
Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.
Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.