using-sdlc-engineering
CMMI-based SDLC router providing process guidance, requirements management, architectural decision support, quality assurance, and governance for GitHub and Azure DevOps workflows.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
542 skills found
CMMI-based SDLC router providing process guidance, requirements management, architectural decision support, quality assurance, and governance for GitHub and Azure DevOps workflows.
Framework for building AI agents that persist state across multiple context windows, enabling them to complete complex, multi-day coding tasks without losing progress or context.
Focus testing effort on highest-risk areas using risk assessment and prioritization. Use when planning test strategy, allocating resources, or making coverage decisions.
Control the Unity Editor via Claude Code to run tests, compile scripts, manage play mode, and retrieve console logs using a file-based bridge.
High-performance build system for JavaScript/TypeScript monorepos. Optimized for parallel task execution, remote caching, and dependency graph analysis.
Monitor US-Iran strike probability via real-time open-source signals including market odds, flight traffic, energy prices, and geopolitical alerts.
Add evlog framework integration: automate wide-event logging across your stack with standardized middleware, build configurations, testing, and documentation.
Control headless Chrome via Cloudflare Browser Rendering using CDP. Capture screenshots, navigate pages, automate scraping, and generate videos in a Cloudflare Workers environment.
Detect and resolve TypeScript/JavaScript circular import dependencies. Solves runtime errors like 'Cannot access X before initialization' and 'undefined' imports caused by module cycle initialization order.
PyTorch Lightning skill for scalable deep learning: automates model training, multi-GPU orchestration, data pipelines, and distributed training strategies like DDP, FSDP, and DeepSpeed.
Master multi-agent orchestration with LangGraph. Build stateful, fault-tolerant AI workflows using supervisor-worker patterns, conditional routing, and advanced state management.
Pragmatic AI-assisted coding standards focused on clean code, simplicity, and maintainability. Enforces best practices like SRP, DRY, and KISS to prevent over-engineering.