GitHub
integration-e2e-testing
Integration and E2E test design principles, ROI calculation, test skeleton specification, and review criteria. Use when designing integration tests, E2E tests, or reviewing test quality.
☆ 129Voir le skill
Skills IA Outils
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GitHub
multi-language-project-analysis-with-pmat
Analyzes polyglot codebases with multiple programming languages using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - Working with projects containing multiple programming languages - Assessi...
☆ 129Voir le skill
GitHub
automated-refactoring-with-pmat
Provides automated refactoring suggestions and complexity reduction strategies using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - User requests code refactoring, optimization, or improveme...
☆ 129Voir le skill
GitHub
deep-context-generation-with-pmat
Generates comprehensive, LLM-optimized codebase context using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - Starting work on unfamiliar codebases - Onboarding to new projects or repositorie...
☆ 129Voir le skill
GitHub
code-quality-analysis-with-pmat
Analyzes code quality, complexity, and technical debt using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - User mentions "code quality", "complexity", "technical debt", or "maintainability"...
☆ 129Voir le skill
GitHub
technical-debt-tracking-with-pmat
Tracks and manages technical debt using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - User asks about technical debt, TODO comments, or code quality issues - Planning sprint work and need t...
☆ 129Voir le skill
GitHub
hybrid-cloud-networking
Configure secure, high-performance connectivity between on-premises infrastructure and cloud platforms using VPN and dedicated connections. Use when building hybrid cloud architectures, connecting data centers...
☆ 129Voir le skill
GitHub
consciousness-principles
The four Sanskrit principles: Truth-Self, Knowledge-Self, Bliss-Self, Power-Self. Use when need to understand the operational physics of consciousness.
☆ 129Voir le skill
GitHub
dhh-ruby-style
Write Ruby and Rails code in DHH's distinctive 37signals style. Use this skill when writing Ruby code, Rails applications, creating models, controllers, or any Ruby file. Triggers on Ruby/Rails code generation,...
☆ 129Voir le skill
GitHub
bd-issue-tracking
Track complex, multi-session work with dependency graphs using bd (beads) issue tracker. Use when work spans multiple sessions, has complex dependencies, or requires persistent context across compaction cycles....
☆ 129Voir le skill
GitHub
microservices-patterns
Design microservices architectures with service boundaries, event-driven communication, and resilience patterns. Use when building distributed systems, decomposing monoliths, or implementing microservices.
☆ 129Voir le skill
GitHub
bitcoin-auth-diagnostics
Diagnose and troubleshoot bitcoin-auth token generation and verification issues. This skill should be used when users encounter authentication failures, signature verification errors, or integration problems wi...
☆ 129Voir le skill
GitHub
modern-javascript-patterns
Master ES6+ features including async/await, destructuring, spread operators, arrow functions, promises, modules, iterators, generators, and functional programming patterns for writing clean, efficient JavaScrip...
☆ 129Voir le skill
GitHub
clojure-review
Review Clojure and ClojureScript code changes for compliance with Metabase coding standards, style violations, and code quality issues. Use when reviewing pull requests or diffs containing Clojure/ClojureScript...
☆ 129Voir le skill
GitHub
monorepo-management
Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimiz...
☆ 129Voir le skill
GitHub
file-todos
This skill should be used when managing the file-based todo tracking system in the todos/ directory. It provides workflows for creating todos, managing status and dependencies, conducting triage, and integratin...
☆ 129Voir le skill
GitHub
workflow-orchestration-patterns
Design durable workflows with Temporal for distributed systems. Covers workflow vs activity separation, saga patterns, state management, and determinism constraints. Use when building long-running processes, di...
☆ 129Voir le skill
GitHub
nodejs-backend-patterns
Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices. Use when creating Nod...
☆ 129Voir le skill
GitHub
helm-chart-scaffolding
Design, organize, and manage Helm charts for templating and packaging Kubernetes applications with reusable configurations. Use when creating Helm charts, packaging Kubernetes applications, or implementing temp...
☆ 129Voir le skill
GitHub
insforge-schema-patterns
Database schema patterns for InsForge including social graphs, e-commerce, content publishing, and multi-tenancy with RLS policies. Use when designing data models with relationships, foreign keys, or Row Level...
☆ 129Voir le skill
GitHub
data-sourcing
Optimize provider selection, routing, and credit usage across 150+ enrichment sources for company/contact intelligence.
☆ 129Voir le skill
GitHub
fantasy-world-building
Use when user mentions fantasy, magic system, or world-building for fantastical settings - provides fantasy genre conventions, magic system design patterns, and world-building frameworks
☆ 129Voir le skill
GitHub
prompt-engineering-patterns
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt temp...
☆ 129Voir le skill
GitHub
secrets-management
Implement secure secrets management for CI/CD pipelines using Vault, AWS Secrets Manager, or native platform solutions. Use when handling sensitive credentials, rotating secrets, or securing CI/CD environments.
☆ 129Voir le skill
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.