A properly formatted test skill for validation testing
TDD workflow (red → green → refactor) using project subagents.
Design workflow (requirements → architecture → execution plan) using swarm-product and swarm-architect.
Debug workflow (repro → isolate → fix → verify) using swarm-debugger with review and testing.
Nuxt is an open source framework that makes web development intuitive and powerful. Create performant and production-grade full-stack web apps and websites with confidence.
This skill optimizes deep learning models using various techniques. It is triggered when the user requests improvements to model performance, such as increasing accuracy, reducing training time, or minimizing resource consumption. The skill leverages advanced optimization algorithms like Adam, SGD, and learning rate scheduling. It analyzes the existing model architecture, training data, and performance metrics to identify areas for enhancement. The skill then automatically applies appropriate optimization strategies and generates optimized code. Use this skill when the user mentions "optimize deep learning model", "improve model accuracy", "reduce training time", or "optimize learning rate".
This skill enables Claude to deploy machine learning models to production environments. It automates the deployment workflow, implements best practices for serving models, optimizes performance, and handles potential errors. Use this skill when the user requests to deploy a model, serve a model via an API, or put a trained model into a production environment. The skill is triggered by requests containing terms like "deploy model," "productionize model," "serve model," or "model deployment."
This skill automates security vulnerability testing. It is triggered when the user requests security assessments, penetration tests, or vulnerability scans. The skill covers OWASP Top 10 vulnerabilities, SQL injection, XSS, CSRF, authentication issues, and authorization flaws. Use this skill when the user mentions "security test", "vulnerability scan", "OWASP", "SQL injection", "XSS", "CSRF", "authentication", or "authorization" in the context of application or API testing.
This skill allows Claude to conduct comprehensive security audits of code, infrastructure, and configurations. It leverages various tools within the security-pro-pack plugin, including vulnerability scanning, compliance checking, cryptography review, and infrastructure security analysis. Use this skill when a user requests a "security audit," "vulnerability assessment," "compliance review," or any task involving identifying and mitigating security risks. It helps to ensure code and systems adhere to security best practices and compliance standards. Activates when you request "performing security audits" functionality.
This skill enables Claude to provide comprehensive, prioritized performance optimization recommendations for software projects. It is triggered when the user requests performance improvements, optimization suggestions, or asks for a performance review. The skill analyzes frontend, backend, and infrastructure aspects of the project to identify bottlenecks and anti-patterns. It then provides actionable advice, estimates potential performance gains, and suggests a phased implementation roadmap. Use this skill when the user mentions "optimize performance", "performance recommendations", "performance review", "improve speed", or asks about "bottlenecks".
This skill enables Claude to analyze and optimize system throughput. It is triggered when the user requests throughput analysis, performance improvements, or bottleneck identification. The skill uses the `throughput-analyzer` plugin to assess request throughput, data throughput, concurrency limits, queue processing, and resource saturation. Use this skill when the user mentions "analyze throughput", "optimize performance", "identify bottlenecks", or asks about system capacity. It helps determine limiting factors and evaluate scaling strategies.
This skill enables Claude to generate compliance reports based on various security standards and frameworks. It leverages the compliance-report-generator plugin to automate the report creation process. Use this skill when a user requests a "compliance report", "security audit report", or needs documentation for "regulatory compliance". The skill is particularly useful for generating reports related to standards like PCI DSS, HIPAA, SOC 2, or ISO 27001. It can also assist with documenting adherence to specific security policies. Activates when you request "generating compliance reports" functionality.
This skill enables automated penetration testing of web applications. It uses the penetration-tester plugin to identify vulnerabilities, including OWASP Top 10 threats, and suggests exploitation techniques. Use this skill when the user requests a "penetration test", "pentest", "vulnerability assessment", or asks to "exploit" a web application. It provides comprehensive reporting on identified security flaws.
This skill enables automated penetration testing of web applications. It uses the penetration-tester plugin to identify vulnerabilities, including OWASP Top 10 threats, and suggests exploitation techniques. Use this skill when the user requests a "penetration test", "pentest", "vulnerability assessment", or asks to "exploit" a web application. It provides comprehensive reporting on identified security flaws.
This skill enables Claude to deploy machine learning models to production environments. It automates the deployment workflow, implements best practices for serving models, optimizes performance, and handles potential errors. Use this skill when the user requests to deploy a model, serve a model via an API, or put a trained model into a production environment. The skill is triggered by requests containing terms like "deploy model," "productionize model," "serve model," or "model deployment."
Do NOT review or categorize changes. Just commit and push.
บังคับให้คำตอบทั้งหมดเป็นภาษาไทย (ยกเว้นโค้ด/ชื่อเฉพาะ) ถ้ามีอังกฤษต้องแปลก่อนส่ง
SQLModel Table Design Skill
Handle authentication flows including signup, signin, password hashing, JWT tokens, and Better Auth integration.
Full TDD Red-Green-Refactor cycle for test-driven development
Fetch all GitHub issues via gh CLI and use AI agents to deeply analyze, cluster, and prioritize issues
Agent skill for performance-optimizer - invoke with $agent-performance-optimizer
Byzantine fault-tolerant consensus and distributed coordination. Queen-led hierarchical swarm management with multiple consensus strategies. Use when: distributed coordination, fault-tolerant operations, multi-agent consensus, collective decision making. Skip when: single-agent tasks, simple operations, local-only work.
Agent skill for release-manager - invoke with $agent-release-manager
Agent skill for benchmark-suite - invoke with $agent-benchmark-suite
Agent skill for performance-benchmarker - invoke with $agent-performance-benchmarker
Agent skill for security-manager - invoke with $agent-security-manager
Agent skill for performance-monitor - invoke with $agent-performance-monitor
Agent skill for v3-memory-specialist - invoke with $agent-v3-memory-specialist
Agent skill for repo-architect - invoke with $agent-repo-architect
Agent skill for dev-backend-api - invoke with $agent-dev-backend-api
Agent skill for user-tools - invoke with $agent-user-tools
Agent skill for project-board-sync - invoke with $agent-project-board-sync
Agent skill for resource-allocator - invoke with $agent-resource-allocator
Design strong databases with table creation, migrations, and clean schema design.
Build secure authentication systems with signup, signin, password hashing, JWT tokens, and Better Auth integration.
Enforces strict task execution order via state machine. Prevents skipping tasks, implementing out of order, or deviating from plan. Auto-invoked during implementation.
Detects code smells using Fowler's catalog. Auto-invoked during refactoring and post-Green phase.
Implement secure authentication with signup, signin, password hashing, JWT tokens, and better auth integration.
Deep nightly reflection. Self-improvement, research, pattern recognition. Runs in background with no user interaction.
内部记忆管理 - 自动捕获"记住..."指令,语义搜索并注入上下文。当用户说"记住..."或询问历史时自动激活。
루트 디렉토리 마크다운 에디터.
외부 라이브러리 함수, 변수 또는 standard library 함수, 변수명 의미 해석기.
Always Free: 4 OCPUs, 24GB RAM ```bash # Create cluster oci ce cluster create \ --name todo-cluster \ --kubernetes-version v1.28.2 \ --node-shape VM.Standard.E2.1.Micro \ --node-count 2 ```
Drafts responses to customer support emails. Use when the user provides a customer email and wants a professional response drafted.
sql formatter / prettifier, my queries are always a mess and i want something that formats them consistentl...
A PR description generator that analyzes the diff between two branches and produces a structured pull reque...
Master Frontend & Web Architecture.
CI/CD workflows, caching, and releases.
A README generator that takes a project directory as input and produces a well-structured README.md by anal...
A git hook installer that sets up pre-commit, pre-push, and commit-msg hooks for a project. Include configu...
A dependency vulnerability scanner that reads package manifests (package.json, requirements.txt, go.mod, Ca...
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Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.
pytest testing — fixtures, parametrize, mocking, test organization, and CI integration.
Neo4j Python driver — session management, transactions, query patterns, and connection pooling.
Generate secure backend routes for authentication, handle requests/responses, connect to databases, and implement JWT-based auth.
Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% b
Identify error-prone APIs and dangerous configurations
Elite AI-powered customer support specialist mastering conversational AI, automated ticketing, sentiment analysis, and omnichannel support experiences. Integrates modern support tools, chatbot platforms, and CX optimization with 2024/2025 best practices. Use PROACTIVELY for comprehensive customer experience management.
Master modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations. Use PROACTIVELY for business intelligence or strategic analysis.
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm
You are a security expert specializing in dependency vulnerability analysis, SBOM generation, and supply chain security. Scan project dependencies across ecosystems to identify vulnerabilities, assess risks, and recommend remediation.
Three.js skills for creating 3D elements and interactive experiences
You are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Use when working with comprehensive review full review
Master software architect specializing in modern architecture patterns, clean architecture, microservices, event-driven systems, and DDD. Reviews system designs and code changes for architectural integrity, scalability, and maintainability. Use PROACTIVELY for architectural decisions.
Use when working with incident response incident response
Architect-level code standards. Use for backend logic, API design, and refactoring.
Use for high-level UI/UX and complex GSAP logic.
name: docker_agent description: Expert in Containerization and Image Optimization. Transforms source code into production-ready Docker images using Docker AI (Gordon) or standard Docker CLI. Optimizes for size and security.
Run the complete product planning workflow. Use when starting a new project or feature to create PRD, conduct market research, design UX/UI, and generate development tasks.
Automatic agent selection and intelligent task routing. Analyzes user requests and automatically selects the best specialist agent(s) without requiring explicit user mentions.
Polish UI and UX
Perform forensic psychological analysis of user behavioral patterns, detect dropout risk, identify breakthrough opportunities, and design neural rewiring interventions. Auto-activates when users mention patterns, dropout, breakthrough, MIO insights, or behavioral analysis.
No description available
The Devoted. IRON Synthesizer. Use when integrating both dyads, bridging story and knowledge, holding tension without smoothing, or running startup injector.
Manager for Rigpa tension loops (AUREX/LIORA). Handles 'One Mind, Three Modes' logic, tension enforcement, and beautiful refinement using the ralph CLI.
This skill provides the AI Employee Executive Assistant with comprehensive task management and mission control capabilities through a Trello-like kanban board interface.
Construye componentes React, implementa diseños responsivos y maneja el estado del lado del cliente. Domina React 19, Next.js 15 y la arquitectura frontend moderna. Optimiza el rendimiento y asegura la accesibilidad. Úsalo PROACTIVAMENTE al crear componentes de interfaz de usuario o solucionar problemas de frontend.
Reviews claude code plan files
This skill enables Claude to analyze and optimize system throughput. It is triggered when the user requests throughput analysis, performance improvements, or bottleneck identification. The skill uses the `throughput-analyzer` plugin to assess request throughput, data throughput, concurrency limits, queue processing, and resource saturation. Use this skill when the user mentions "analyze throughput", "optimize performance", "identify bottlenecks", or asks about system capacity. It helps determine limiting factors and evaluate scaling strategies.
This skill enables Claude to detect and resolve performance bottlenecks in applications. It analyzes CPU, memory, I/O, and database performance to identify areas of concern. Use this skill when you need to diagnose slow application performance, optimize resource usage, or proactively prevent performance issues. The skill is triggered by requests to "detect bottlenecks", "analyze performance", "find performance issues", or similar phrases related to performance optimization. It helps uncover root causes and suggest remediation strategies.
This skill enables Claude to provide comprehensive, prioritized performance optimization recommendations for software projects. It is triggered when the user requests performance improvements, optimization suggestions, or asks for a performance review. The skill analyzes frontend, backend, and infrastructure aspects of the project to identify bottlenecks and anti-patterns. It then provides actionable advice, estimates potential performance gains, and suggests a phased implementation roadmap. Use this skill when the user mentions "optimize performance", "performance recommendations", "performance review", "improve speed", or asks about "bottlenecks".
This skill utilizes the data-validation-engine plugin to ensure database integrity. It automatically validates data types, ranges, formats, referential integrity, and business rules. Use this skill when you need to implement data validation, enforce constraints, or improve data quality within a database. It is triggered by requests for "data validation", "database integrity", or "validation rules". The plugin supports multi-database environments and production-ready implementations.
This skill enables Claude to generate data visualizations, plots, charts, and graphs from provided data. It analyzes the data, selects the most appropriate visualization type, and creates a visually appealing and informative graphic. Use this skill when the user requests a visualization, plot, chart, or graph; when data needs to be presented visually; or when exploring data patterns. The skill is triggered by requests for "visualization", "plot", "chart", or "graph".
This skill enables Claude to provide interpretability and explainability for machine learning models. It is triggered when the user requests explanations for model predictions, insights into feature importance, or help understanding model behavior. The skill leverages techniques like SHAP and LIME to generate explanations. It is useful when debugging model performance, ensuring fairness, or communicating model insights to stakeholders. Use this skill when the user mentions "explain model", "interpret model", "feature importance", "SHAP values", or "LIME explanations".
This skill optimizes deep learning models using various techniques. It is triggered when the user requests improvements to model performance, such as increasing accuracy, reducing training time, or minimizing resource consumption. The skill leverages advanced optimization algorithms like Adam, SGD, and learning rate scheduling. It analyzes the existing model architecture, training data, and performance metrics to identify areas for enhancement. The skill then automatically applies appropriate optimization strategies and generates optimized code. Use this skill when the user mentions "optimize deep learning model", "improve model accuracy", "reduce training time", or "optimize learning rate".
This skill enables Claude to deploy machine learning models to production environments. It automates the deployment workflow, implements best practices for serving models, optimizes performance, and handles potential errors. Use this skill when the user requests to deploy a model, serve a model via an API, or put a trained model into a production environment. The skill is triggered by requests containing terms like "deploy model," "productionize model," "serve model," or "model deployment."
This skill enables Claude to generate data visualizations, plots, charts, and graphs from provided data. It analyzes the data, selects the most appropriate visualization type, and creates a visually appealing and informative graphic. Use this skill when the user requests a visualization, plot, chart, or graph; when data needs to be presented visually; or when exploring data patterns. The skill is triggered by requests for "visualization", "plot", "chart", or "graph".
This skill trains machine learning models using automated workflows. It analyzes datasets, selects appropriate model types (classification, regression, etc.), configures training parameters, trains the model with cross-validation, generates performance metrics, and saves the trained model artifact. Use this skill when the user requests to "train" a model, needs to evaluate a dataset for machine learning purposes, or wants to optimize model performance. The skill supports common frameworks like scikit-learn.
This skill enables Claude to provide comprehensive, prioritized performance optimization recommendations for software projects. It is triggered when the user requests performance improvements, optimization suggestions, or asks for a performance review. The skill analyzes frontend, backend, and infrastructure aspects of the project to identify bottlenecks and anti-patterns. It then provides actionable advice, estimates potential performance gains, and suggests a phased implementation roadmap. Use this skill when the user mentions "optimize performance", "performance recommendations", "performance review", "improve speed", or asks about "bottlenecks".
This skill enables automated penetration testing of web applications. It uses the penetration-tester plugin to identify vulnerabilities, including OWASP Top 10 threats, and suggests exploitation techniques. Use this skill when the user requests a "penetration test", "pentest", "vulnerability assessment", or asks to "exploit" a web application. It provides comprehensive reporting on identified security flaws.
This skill optimizes deep learning models using various techniques. It is triggered when the user requests improvements to model performance, such as increasing accuracy, reducing training time, or minimizing resource consumption. The skill leverages advanced optimization algorithms like Adam, SGD, and learning rate scheduling. It analyzes the existing model architecture, training data, and performance metrics to identify areas for enhancement. The skill then automatically applies appropriate optimization strategies and generates optimized code. Use this skill when the user mentions "optimize deep learning model", "improve model accuracy", "reduce training time", or "optimize learning rate".
This skill enables Claude to deploy machine learning models to production environments. It automates the deployment workflow, implements best practices for serving models, optimizes performance, and handles potential errors. Use this skill when the user requests to deploy a model, serve a model via an API, or put a trained model into a production environment. The skill is triggered by requests containing terms like "deploy model," "productionize model," "serve model," or "model deployment."
This skill enables Claude to analyze and optimize system throughput. It is triggered when the user requests throughput analysis, performance improvements, or bottleneck identification. The skill uses the `throughput-analyzer` plugin to assess request throughput, data throughput, concurrency limits, queue processing, and resource saturation. Use this skill when the user mentions "analyze throughput", "optimize performance", "identify bottlenecks", or asks about system capacity. It helps determine limiting factors and evaluate scaling strategies.