Learn AI Engineering! Learn it. Build it. Ship it for others.
AI Engineering from Scratch is a free, open-source curriculum that teaches people to build AI systems through lessons and reusable artifacts such as prompts, skills, agents, and MCP servers. It is for learners who want practical foundations or want to create AI applications, and the catalogue skills support parts of that curriculum.
This repository also configures its own agents. See what ai-engineering-from-scratch tells them →
rohitg00/ai-engineering-from-scratch
Skill Claude Code
Review database migration files when a change adds or modifies paths under migrations/. Use it before merge to collect forward, rollback, locking, and data-safety evidence.
rohitg00/ai-engineering-from-scratch
Skill Claude CodeCodex
Validate an Agent Skill package and choose the right instruction, capability, or lifecycle primitive before implementation.
rohitg00/ai-engineering-from-scratch
Skill Claude CodeCodex
Build a bounded Agent Skill catalog across explicit discovery scopes and report collisions before loading instruction bodies.
rohitg00/ai-engineering-from-scratch
Skill Claude CodeCodex
Design and test explicit human, implicit model or agent, programmatic application, bounded skill-composition, and harness activation policies for an Agent Skill catalog.
rohitg00/ai-engineering-from-scratch
Skill Claude CodeCodex
Review a skill-requested filesystem, command, network, secret, or destructive action against an explicit sandbox policy without executing it.
rohitg00/ai-engineering-from-scratch
Skill Claude CodeCodex
Evaluate an Agent Skill bundle for structural integrity, trigger quality, artifact improvement, script correctness, safety, installed-tree integrity, and target-host portability before release.
rohitg00/ai-engineering-from-scratch
Skill Claude CodeCodex
Run the local test evidence check.
rohitg00/ai-engineering-from-scratch
Skill Claude CodeCodex
Publish an approved Orchard release.
rohitg00/ai-engineering-from-scratch
Skill Claude CodeCodex
Review Orchard deployment manifests.
rohitg00/ai-engineering-from-scratch
Skill Claude CodeCodex
Review a release proposal.
rohitg00/ai-engineering-from-scratch
Skill Claude CodeCodex
Review a release proposal.
rohitg00/ai-engineering-from-scratch
Skill Claude CodeCodex
Check deployment evidence and recovery conditions.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: