joshuavial/etude
Empirically test AI coding-agent skills by replaying them against your real past work
Empirically test AI coding-agent skills by replaying them against your real past work
npx skills add joshuavial/etudeEmpirically test AI coding-agent skills by replaying them against your real past work
A knowledge cycle for AI agents — one that grows with the people who shape it. Centered on the scarcity of human attention and judgment as agent capability grows; six phases keep behavior aligned with operator intent across sessions. ADRs, JSON schemas, and a dependency-free Python reference.
Competitive pricing & feature analysis — 14 direct auto-dealership AI agent / workflow competitors
⚙️ Manage and sync AI coding assistant skills across multiple platforms to streamline development with Claude Code, Codex, and Opencode.
A Simple Complete LLM Wiki Skill (No Code Just Text)
A curated list of AI agent infrastructure: memory stores, vector databases, execution sandboxes, MCP servers, tool registries, observability, and evaluation tools for building and running autonomous agents.
AI Agent Skills for Computer Vision Engineers, Researchers