Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
-
go-cli-architecture
Build Kubernetes-native CLIs in Go with type safety, testability, and complex orchestration logic for deployment tools and cluster automation.
adaptive-enforcement-lab/claude-skills 1
-
modular-release-pipelines
Automate version management and changelog generation with smart builds. Only build changed components using GitHub App tokens and release-please integration.
adaptive-enforcement-lab/claude-skills 1
-
kubernetes-integration
Integrate Go CLIs with Kubernetes using client-go. Automatic config detection works on laptops, CI runners, and cluster pods with minimal RBAC setup.
adaptive-enforcement-lab/claude-skills 1
-
framework-selection
Choose the right Go CLI framework for Kubernetes-native tools. Decision matrix compares Cobra, urfave/cli, and Kong for ecosystem alignment and features.
adaptive-enforcement-lab/claude-skills 1
-
build
Production-grade Go CLI patterns, automated release workflows with Release Please, versioned docs, and coverage enforcement for DevSecOps build pipelines.
adaptive-enforcement-lab/claude-skills 1
-
common-operations
Implement idiomatic Kubernetes operations with label selectors, strategic merge patches, and proper error handling for production-grade CLI tooling.
adaptive-enforcement-lab/claude-skills 1
-
versioned-documentation
Deploy version-tagged documentation alongside releases using MkDocs Material, mike, and release-please for automated version alignment with software builds.
adaptive-enforcement-lab/claude-skills 1
-
testing-strategies
Build confidence with comprehensive CLI testing. Unit tests catch logic bugs with fakes, integration tests verify API contracts, E2E tests validate workflows.
adaptive-enforcement-lab/claude-skills 1
-
release-please-configuration
Configure automated versioning with release-please. Set up semantic versioning, changelog generation, and monorepo support using GitHub App token authentication.
adaptive-enforcement-lab/claude-skills 1
-
command-architecture
Design CLI commands that work independently and compose well for automation. Orchestrator pattern coordinates, subcommands execute discrete tasks.
adaptive-enforcement-lab/claude-skills 1
-
Debugging
Systematic debugging framework ensuring root cause investigation before fixes. Includes four-phase debugging process, backward call stack tracing, multi-layer validation, and verification protocols. Use when encountering bugs, test failures, unexpected behavior, performance issues, or before claiming work complete. Prevents random fixes, masks over symptoms, and false completion claims.
binhmuc/autobot-review 22
-
ui-ux-pro-max
Frontend UI/UX design intelligence - activate FIRST when user requests beautiful, stunning, gorgeous, or aesthetic interfaces. The primary skill for design decisions before implementation. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check frontend UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient.
binhmuc/autobot-review 22
-
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
binhmuc/autobot-review 22
-
planning
Use when you need to plan technical solutions that are scalable, secure, and maintainable.
binhmuc/autobot-review 22
-
Problem-Solving Techniques
Apply systematic problem-solving techniques for complexity spirals (simplification cascades), innovation blocks (collision-zone thinking), recurring patterns (meta-pattern recognition), assumption constraints (inversion exercise), scale uncertainty (scale game), and dispatch when stuck. Techniques derived from Microsoft Amplifier project patterns adapted for immediate application.
binhmuc/autobot-review 22
-
payment-integration
Implement payment integrations with SePay (Vietnamese payment gateway with VietQR, bank transfers, cards) and Polar (global SaaS monetization platform with subscriptions, usage-based billing, automated benefits). Use when integrating payment processing, implementing checkout flows, managing subscriptions, handling webhooks, processing bank transfers, generating QR codes, automating benefit delivery, or building billing systems. Supports authentication (API keys, OAuth2), product management, customer portals, tax compliance (Polar as MoR), and comprehensive SDK integrations (Node.js, PHP, Python, Go, Laravel, Next.js).
binhmuc/autobot-review 22
-
code-review
Use when receiving code review feedback (especially if unclear or technically questionable), when completing tasks or major features requiring review before proceeding, or before making any completion/success claims. Covers three practices - receiving feedback with technical rigor over performative agreement, requesting reviews via code-reviewer subagent, and verification gates requiring evidence before any status claims. Essential for subagent-driven development, pull requests, and preventing false completion claims.
binhmuc/autobot-review 22
-
backend-development
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth 2.1, JWT), testing strategies, security best practices (OWASP Top 10), performance optimization, scalability patterns (microservices, caching, sharding), DevOps practices (Docker, Kubernetes, CI/CD), and monitoring. Use when designing APIs, implementing authentication, optimizing database queries, setting up CI/CD pipelines, handling security vulnerabilities, building microservices, or developing production-ready backend systems.
binhmuc/autobot-review 22
-
markdown-novel-viewer
binhmuc/autobot-review 22
-
shopify
Build Shopify applications, extensions, and themes using GraphQL/REST APIs, Shopify CLI, Polaris UI components, and Liquid templating. Capabilities include app development with OAuth authentication, checkout UI extensions for customizing checkout flow, admin UI extensions for dashboard integration, POS extensions for retail, theme development with Liquid, webhook management, billing API integration, product/order/customer management. Use when building Shopify apps, implementing checkout customizations, creating admin interfaces, developing themes, integrating payment processing, managing store data via APIs, or extending Shopify functionality.
binhmuc/autobot-review 22
-
mcp-management
Manage Model Context Protocol (MCP) servers - discover, analyze, and execute tools/prompts/resources from configured MCP servers. Use when working with MCP integrations, need to discover available MCP capabilities, filter MCP tools for specific tasks, execute MCP tools programmatically, access MCP prompts/resources, or implement MCP client functionality. Supports intelligent tool selection, multi-server management, and context-efficient capability discovery.
binhmuc/autobot-review 22
-
template-skill
Replace with description of the skill and when Claude should use it.
binhmuc/autobot-review 22
-
frontend-dev-guidelines
Frontend development guidelines for React/TypeScript applications. Modern patterns including Suspense, lazy loading, useSuspenseQuery, file organization with features directory, MUI v7 styling, TanStack Router, performance optimization, and TypeScript best practices. Use when creating components, pages, features, fetching data, styling, routing, or working with frontend code.
binhmuc/autobot-review 22
-
docs-seeker
Search technical documentation using executable scripts to detect query type, fetch from llms.txt sources (context7.com), and analyze results. Use when user needs: (1) Topic-specific documentation (features/components/concepts), (2) Library/framework documentation, (3) GitHub repository analysis, (4) Documentation discovery with automated agent distribution strategy
binhmuc/autobot-review 22