LLM Evaluation Registry is a backend-led quality layer for AI workflows. It tracks prompts, models, reusable test cases, evaluation runs, validation results, regressions, and human review notes so AI behavior can be measured instead of guessed.
npx add-skill iamalimaybe/llm-evaluation-registryLLM Evaluation Registry is a backend-led quality layer for AI workflows. It tracks prompts, models, reusable test cases, evaluation runs, validation results, regressions, and human review notes so AI behavior can be measured instead of guessed.
Assemble, configure, and deploy autonomous AI Agents directly in your web browser.
Exercise: Expand your team with GitHub Copilot cloud agent
Manage shared Claude Code rules, skills, and configs across projects
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, C… productivity mcp developer-tools ai-agents claude
AI-powered feature development orchestrator — PRD → Tech Spec → Tasks → Implementation → Tests → PR — with checkpoint/resume, 5 execution modes, and auto-detection for GitHub/GitLab/Azure DevOps. Claude Code skill.
SUPERCHARGE AI-assisted development by using Git. Cross-model review gates, evidence-linked closure, verification profiles, model-tier routing, artifact envelopes, and provenance signing — all from a single skill for Claude Code, Codex, and Cursor.