terraform-infrastructure-as-code
Production-grade Terraform development with HCL best practices, module design, state management, multi-cloud patterns, and AI-enhanced infrastructure as code for scalable cloud deployments
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Skills indexés
213Étoiles des dépôts des skills indexés
4,198Forks du dépôt
653Moyenne des étoiles par skill indexé
20Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Production-grade Terraform development with HCL best practices, module design, state management, multi-cloud patterns, and AI-enhanced infrastructure as code for scalable cloud deployments
Production-grade observability stack with Prometheus metrics, Grafana dashboards, PromQL query language, alerting rules, and AI-powered anomaly detection for modern cloud-native applications
Production-grade Web3 development with Solidity smart contracts, ethers.js/web3.js integration, DApp architecture, security patterns, and AI-enhanced blockchain development (ChatWeb3, Aider + Gemini 2024)
Production-grade FastAPI development with async patterns, Pydantic v2, dependency injection, ML/AI endpoint design, and modern Python best practices for building high-performance REST APIs
Production-grade PostgreSQL query optimization, indexing strategies, performance tuning, and modern features including pgvector for AI/ML workloads. Master EXPLAIN plans, query analysis, and database design for...
Production-grade security testing with agentic vulnerability detection, SAST/DAST tools, OWASP Top 10 coverage, threat modeling, and AI-powered security analysis achieving 92% detection accuracy (OpenAI Aardvar...
Build ultra-low-latency edge computing applications with Cloudflare Workers, Workers AI for LLM inference, V8 isolates, Durable Objects, and serverless patterns deployed across 330+ data centers worldwide
LangChain LLM application framework with chains, agents, RAG, and memory for building AI-powered applications. Use when implementing RAG (Retrieval Augmented Generation), creating AI agents with tools, or chain...
mypy - Static type checker for Python with gradual typing, strict mode, Protocol support, and framework integration
Comprehensive TDD patterns and practices for all programming languages, eliminating redundant testing guidance per agent.
Essential Git patterns for effective version control, eliminating redundant Git guidance per agent.
DSPy declarative framework for automatic prompt optimization treating prompts as code with systematic evaluation and compilers. Use when optimizing prompts systematically, building production LLM systems, imple...
Use git worktrees for parallel development on multiple branches simultaneously
MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.
Create and manage stacked (dependent) pull requests for complex features
Safe patterns for evolving database schemas in production with decision trees and troubleshooting guidance.
CI security scanning: secrets, deps, SAST, triage, expiring exceptions
Systematic debugging methodology emphasizing root cause analysis over quick fixes. Use when debugging complex issues, investigating production failures, or avoiding symptom-based patches in favor of understandi...
Best practices for documenting APIs and code interfaces, eliminating redundant documentation guidance per agent.
Test quality inspection framework for reviewing test coverage, identifying gaps, and ensuring comprehensive validation. Use when reviewing test suites, performing QA inspections, or establishing testing quality...
pytest - Python's most powerful testing framework with fixtures, parametrization, plugins, and framework integration for FastAPI, Django, Flask
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.