Skills directory · page 61

Guides security professionals in implementing defense-in-depth security architectures, achieving compliance with industry frameworks (SOC2, ISO27001, GDPR, HIPAA), conducting threat modeling and risk assessments, managing security operations and incident response, and embedding security throughout the SDLC.

Use when installing or tuning the PreToolUse security hook that warns before Claude writes command injection, XSS, SQL injection, unsafe deserialization, eval or GitHub Actions injection. Warns once per file and rule; ENABLE_SECURITY_REMINDER=0 turns it off.

Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters). Do not trigger for general maintainer lists or non-security ownership questions.

Authorized penetration testing of an app or API: vulnerability scans, OWASP Top 10 checks, dependency audits and a pentest report. Use whenever the user asks if their app is secure or hackable, wants a security scan or a pentest report.

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。

Usar este skill al agregar autenticación, manejar entradas de usuario, trabajar con secretos, crear endpoints de API o implementar funcionalidades de pago/sensibles. Proporciona lista de verificación y patrones de seguridad completos.

Kimlik doğrulama eklerken, kullanıcı girdisi işlerken, secret'larla çalışırken, API endpoint'leri oluştururken veya ödeme/hassas özellikler uygularken bu skill'i kullanın. Kapsamlı güvenlik kontrol listesi ve kalıplar sağlar.

인증 추가, 사용자 입력 처리, 시크릿 관리, API 엔드포인트 생성, 결제/민감한 기능 구현 시 이 스킬을 사용하세요. 포괄적인 보안 체크리스트와 패턴을 제공합니다.

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.

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.

AI-powered codebase security scanner that reasons about code like a security researcher — tracing data flows, understanding component interactions, and catching vulnerabilities that pattern-matching tools miss. Use this skill when asked to scan code for security vulnerabilities, find bugs, check for SQL injection, XSS, command injection, exposed API keys, hardcoded secrets, insecure dependencies, access control issues, or any request like "is my code secure?", "review for security issues", "audit this codebase", or "check for vulnerabilities". Covers injection flaws, authentication and access control bugs, secrets exposure, weak cryptography, insecure dependencies, and business logic issues across JavaScript, TypeScript, Python, Java, PHP, Go, Ruby, and Rust.

Use this skill when adding authentication, handling user input, handling secrets, creating API endpoints, or implementing payments/sensitive features. Provides a comprehensive security checklist and patterns.

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.

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.

Scan your Claude Code configuration (.claude/ directory) with AgentShield to find security vulnerabilities, misconfigurations, and injection risks. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.

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。

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. Use when auditing a .claude/ directory — CLAUDE.md, settings.json, MCP servers, hooks, or agent definitions.

Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations, and writes a concise Markdown threat model. Trigger only when the user explicitly asks to threat model a codebase or path, enumerate threats/abuse paths, or perform AppSec threat modeling. Do not trigger for general architecture summaries, code review, or non-security design work.

Expert patterns for Segment Customer Data Platform including Analytics.js, server-side tracking, tracking plans with Protocols, identity resolution, destinations configuration, and data governance best practices. Use when: segment, analytics.js, customer data platform, cdp, tracking plan.

Grade finished work honestly on two axes with a devil's-advocate pass against inflation. Use whenever the user asks how well a task went, to rate the work or for an honest self-review.

Use when recurring process failures, obsolete rules, or an explicit user request call for harness improvement.

Curate what the agent has learned into durable project knowledge. Reviews Claude Code auto-memory (MEMORY.md and its topic files) for learnings worth keeping, promotes proven ones into CLAUDE.md or .claude/rules/, records a correction as a lesson that persists across sessions, prunes stale or duplicate entries, and turns a recurring fix into a reusable skill. Use whenever the user asks what you have learned or saved about the project, which memories should become permanent rules, to remember a lesson or stop repeating a mistake, or to clean up, audit or check memory health.

Ship the current branch on any board — lint, commit by concern, push, open or reuse the PR, move the board card, then clean up the branch and the ticket's files. Closes the flow /ticket starts.

System architecture decisions with a written rationale: monolith vs microservices, database choice, scaling limits, ADRs, Mermaid diagrams. Load whenever the user asks should we split, which database, will it scale, or wants an ADR.

Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes architecture diagram generation, system design patterns, tech stack decision frameworks, and dependency analysis. Use when designing system architecture, making technical decisions, creating architecture diagrams, evaluating trade-offs, or defining integration patterns.

Comprehensive backend development skill for building scalable backend systems using NodeJS, Express, Go, Python, Postgres, GraphQL, REST APIs. Includes API scaffolding, database optimization, security implementation, and performance tuning. Use when designing APIs, optimizing database queries, implementing business logic, handling authentication/authorization, or reviewing backend code.

Build and fix backend services: REST or GraphQL APIs, auth, microservices, PostgreSQL queries, migrations and load tests. Use whenever the user's API is slow or broken, needs login or auth added, a schema change, or a new endpoint or service scaffolded.

World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.

Computer vision models: object detection, segmentation, training a custom model, and optimizing or deploying inference (YOLO, DETR, SAM, ONNX, TensorRT). Use whenever the user wants to detect objects in images or video, train on their own labeled images, or speed up a slow vision model.

World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, or implementing data governance.

Data pipelines: Airflow DAGs, Spark, dbt, Kafka, ETL/ELT, data quality checks. Load whenever a DAG or batch job times out or fails, data arrives wrong, or the user designs an ingestion pipeline.

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.

Design experiments and analyze tabular data: A/B tests, causal inference, feature engineering, model evaluation. Use whenever the user asks how to set up or read an A/B test, whether a change caused a lift, which features to build, or how good a model is.

Set up CI/CD pipelines, infrastructure as code, containers and deployments on AWS, GCP or Azure. Use whenever the user needs a build or deploy pipeline, Terraform, a Dockerfile, or wants to manage a release to the cloud.

Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.

Comprehensive frontend development skill for building modern, performant web applications using ReactJS, NextJS, TypeScript, Tailwind CSS. Includes component scaffolding, performance optimization, bundle analysis, and UI best practices. Use when developing frontend features, optimizing performance, implementing UI/UX designs, managing state, or reviewing frontend code.

Build and review React, Next.js, TypeScript or Tailwind frontends: components, scaffolding, performance and bundle size. Use whenever the user wants a new component or app, a page feels slow, the bundle is too big, or asks for a frontend code review.

Comprehensive fullstack development skill for building complete web applications with React, Next.js, Node.js, GraphQL, and PostgreSQL. Includes project scaffolding, code quality analysis, architecture patterns, and complete tech stack guidance. Use when building new projects, analyzing code quality, implementing design patterns, or setting up development workflows.

Start a fullstack project or audit a codebase: pick a stack (Next.js, FastAPI, MERN, Django), scaffold it and score code quality. Use whenever the user asks which stack to use, wants a new web app set up, or asks how good or messy their codebase is.

Use for putting ML models or LLM features into production: deployment, MLOps, drift monitoring, RAG pipelines, LLM API cost and retries. Deploys with model_deployment_pipeline.py, monitors with ml_monitoring_suite.py and builds RAG with rag_system_builder.py.

World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.

Project and portfolio management for multi-workstream programs: plans, status reports, risk registers, capacity, executive reporting. Use whenever the user asks how a project is tracking, what the risks are or who has capacity.

World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.

Improve prompts and measure LLM quality: fix inconsistent prompts, build eval sets, score RAG retrieval, check agent tool configs. Use whenever the user's prompt, chatbot or RAG answers are unreliable or they ask how to test them.

Comprehensive QA and testing skill for quality assurance, test automation, and testing strategies for ReactJS, NextJS, NodeJS applications. Includes test suite generation, coverage analysis, E2E testing setup, and quality metrics. Use when designing test strategies, writing test cases, implementing test automation, performing manual testing, or analyzing test coverage.

Write and improve tests for React or Next.js apps: Jest, React Testing Library, MSW mocks, Playwright E2E, coverage gaps. Use whenever the user asks to add tests to a component or page, mock an API, set up end-to-end tests or raise coverage.

Comprehensive SecOps skill for application security, vulnerability management, compliance, and secure development practices. Includes security scanning, vulnerability assessment, compliance checking, and security automation. Use when implementing security controls, conducting security audits, responding to vulnerabilities, or ensuring compliance requirements.

Find and fix application security problems: security reviews, CVE remediation, hardening, secrets and auth, SOC 2, PCI-DSS, HIPAA and GDPR checks. Use whenever the user asks if their app is secure, needs to patch a vulnerable dependency or prepares for an audit.

Comprehensive security engineering skill for application security, penetration testing, security architecture, and compliance auditing. Includes security assessment tools, threat modeling, crypto implementation, and security automation. Use when designing security architecture, conducting penetration tests, implementing cryptography, or performing security audits.

Check if a design or code is secure: STRIDE threat model, DREAD risk scores, leaked secret scan. Use whenever the user asks what could be attacked, how risky a feature is, or to find exposed keys.