
from opencode-skills-collection31
Provides a structured, step-by-step framework for installing tools and configuring development environments across multiple OS platforms.
This skill transforms the agent into a setup expert that guides developers through the end-to-end process of preparing a machine for coding. It covers requirement identification, current state auditing, platform-specific installation (macOS, Linux, Windows), configuration of environment variables, and final verification.
Use this skill when starting a new project, onboarding new team members, migrating to a new machine, or creating comprehensive setup documentation for a repository.
General purpose AI agents (Claude Code, Cursor, etc.) capable of providing CLI instructions and editing configuration files.
This skill has not been reviewed by our automated audit pipeline yet.
Python Performance Optimization
Profile, analyze, and optimize Python applications for CPU and memory efficiency using profiling tools and performance best practices.
API Security Testing Workflow
Structured workflow for testing REST and GraphQL API security: auth, authorization, rate limiting, input validation and error handling.
Azure AI Projects SDK (TypeScript)
TypeScript SDK and examples for managing Azure AI Projects: agents, connections, deployments, datasets, indexes, and evaluations.
Memory Forensics Playbook
Practical guidance and commands for acquiring, analyzing, and extracting artifacts from memory dumps using tools like Volatility3 and common acquisition methods
Testing Patterns & Utilities
Guidelines and utilities for TDD, factory-based test data, mocking strategies, and testing patterns for React/TypeScript projects.
Skill Optimizer
Diagnose and optimize Agent Skills (SKILL.md) using session transcripts and static analysis to improve triggers, workflows, and token efficiency.
Reverse Engineer
Guided methodology and best practices for binary reverse engineering, covering static and dynamic analysis workflows and common tooling.
Transformers.js ML Integration
Run state-of-the-art ML models for text, image, and audio directly in JavaScript/Node.js without a separate Python backend.