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Automated Cross-Stack Test Runner

FlorianBruniaux/claude-code-ultimate-guide

This tool provides a unified interface to run test suites for various programming stacks (Python, Node.js, Rust) within a CI/CD pipeline. It automatically detects the project's environment (by checking lock files or config) and executes the appropriate testing framework (e.g., pytest, vitest, cargo test), ensuring consistent code quality checks regardless of the underlying language. Ideal for pre-commit or CI/CD integration.

Ghidra Reverse Engineering Workflow Guide

zhaoxuya520/reverse-skill

A comprehensive guide for performing reverse engineering using Ghidra. This skill is essential for scenarios where commercial tools like IDA are unavailable, or when performing large-scale, automated headless analysis. It covers the entire workflow, from project setup and function decompilation to advanced headless scripting and integration with other exploit tools.

Migrate Web API Wildcards in Power Pages

migrate-webapi-selectall

microsoft/power-platform-skills

This tool reviews and migrates deprecated wildcard (*) values found in Power Pages Web API field settings. It replaces them with explicit, least-privilege Dataverse column definitions. Use this when addressing Web API wildcard deprecation, reviewing data exposure, or fixing integration failures across traditional and SPA site architectures.

Stitch Design to Production React Dashboard

react-vite-dashboard

google-labs-code/stitch-skills

A comprehensive guide and workflow tool for converting high-fidelity visual designs from Stitch into production-grade, component-based dashboards. Targets the modern stack including React 18, Vite, TypeScript, and TanStack Query. It integrates design tokens from DESIGN.md for styling consistency, supports complex data visualization, and includes patterns for Web3 integration (ethers/viem) for reading on-chain data.

Creating Effective AI Skills Guide

skill-creator-openai

lawve-ai/awesome-legal-skills

This comprehensive guide outlines the principles, architecture, and best practices for developing specialized, modular skills that extend large language model capabilities. Learn how to integrate domain expertise, multi-step workflows, API tool integrations, and structured resources while managing the context window efficiently.

Autonomous Agent Discovery Guide

sickn33/agentic-awesome-skills

This skill enables users to discover, compare, and research autonomous AI agents using the AgentFolio directory. It helps map the landscape of agent frameworks and tools, identify market gaps, and gather benchmarks before building new agents. Ideal for evaluating existing solutions, understanding integration surfaces, and tracking emerging trends in agent architectures and deployments.

AI Agent Development Workflow

ai-agent-development

sickn33/agentic-awesome-skills

A comprehensive workflow for building autonomous AI agents, multi-agent systems, and orchestration patterns using frameworks like CrewAI and LangGraph. Covers agent design, implementation, tool integration, memory systems, and evaluation to create robust intelligent applications.

Container Image Vulnerability Scanning

container-scanning

sickn33/agentic-awesome-skills

Scan container images for vulnerabilities and misconfigurations using Trivy, Grype, Docker Scout, and cloud-native registry tools. Supports CI integration and admission controls.

Integrating Google Gemini API for AI Projects

gemini-api-integration

sickn33/agentic-awesome-skills

This comprehensive guide covers all aspects of integrating the Google Gemini API into your applications using Python or Node.js. It details basic text generation, advanced multimodal inputs (text, image, audio), streaming responses, function calling/tool use, multi-turn chat implementation, and production best practices like model selection and robust error handling.

GraphQL API Design and Optimization

sickn33/agentic-awesome-skills

GraphQL enables clients to request precise data structures through a single endpoint with a typed schema. This skill covers schema design, resolvers, DataLoader optimization, federation for microservices, and client integration tools like Apollo. It emphasizes treating the schema as a contract and understanding when to use GraphQL versus REST for complex data relationships.

Master LangChain Architecture

langchain-architecture

sickn33/agentic-awesome-skills

Master the LangChain framework to build sophisticated LLM applications. Learn to implement agents, chains, memory management, and tool integration. This skill covers core concepts like ReAct agents, retrieval chains, and document processing pipelines. Ideal for creating autonomous AI agents and production-grade applications using Python.

LLM Application Patterns

llm-app-patterns

sickn33/agentic-awesome-skills

Architecture and integration sketches for LLM applications, covering RAG retrieval, tool dispatch, agent loops, caching, privacy boundaries and verification requirements before production use.

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