
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.
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。
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。
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
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。
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
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。
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。
Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.
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。
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。
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。
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。
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。
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。
React、Next.js、状态管理、性能优化和UI最佳实践的前端开发模式。
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。
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。
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。
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。
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
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。
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
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns.
REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.
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.
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.
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".
Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.
Compose Multiplatform and Jetpack Compose patterns for KMP projects — state management, navigation, theming, performance, and platform-specific UI.
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.
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.
Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.
Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.
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.
Pattern for progressively refining context retrieval to solve the subagent context problem
Kotlin Coroutines and Flow patterns for Android and KMP — structured concurrency, Flow operators, StateFlow, error handling, and testing.
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 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.
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。
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
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.
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。
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
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。
Engineering operating model for teams where AI agents generate a large share of implementation output.
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。
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。
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.
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。
Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
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.
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
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.
Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching.
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。
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.
A comprehensive verification system for Claude Code sessions.
Claude Code 会话的全面验证系统。
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。
Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.
Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.
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。
Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.
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。
Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.
Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles
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
Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.
Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.
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。
Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.
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。
Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.
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。
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.
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.
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。
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。
Operate and extend NanoClaw v2, ECC's zero-dependency session-aware REPL built on claude -p.
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。
Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.
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。
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
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.
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。
# 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
Example project-specific skill template based on a real production application.
# 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:** ``` ┌────────────────────────────────────────────────────
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.
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。
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.
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。
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。
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.
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。
Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.
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。
Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.
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。
Thread-safe data persistence in Swift using actors — in-memory cache with file-backed storage, eliminating data races by design.
Swift 6.2 Approachable Concurrency — single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.
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。
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.
# 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
Translate visa application documents (images) to English and create a bilingual PDF with original and translation
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。
具有质量门、评估和恢复控制的连续自主代理循环模式。
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.
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.
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。
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。
Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.
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.
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。
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.
Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.
--- 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_
JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.
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 Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.
--- 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
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。
# 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
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
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.
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.
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.
Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.
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.
Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.
Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.
JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.
iOS 26 Liquid Glass design system — dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.
Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.
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.
Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.
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.
Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.
Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.
Protocol-based dependency injection for testable Swift code — mock file system, network, and external APIs using focused protocols and Swift Testing.
SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.
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。
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。
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.
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.
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.
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。
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)。
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
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。
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。
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。
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%。
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.