ayush488-glitch

AI Engineering OS — AI skill for Claude Code

AI community

Skills for AI engineers.

How to install AI Engineering OS

This entry records only its repository, not the path inside it, so there is no exact command to give. Open ayush488-glitch/ai-engineering-os and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What AI Engineering OS does

Skills for AI engineers. One session at a time.

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README

AI Engineering OS

Skills for AI engineers. One session at a time.

Each session is a folder. Each folder contains `SKILL.md` files — drop them into your project, tell your AI to read them, and it starts behaving like a senior engineer instead of a code generator.

Sessions

Session	Name	Topic	Status
F1	The Prediction Engine	Regression & Supervised Learning	✅ Ready
F2	Cluster Thinking	K-Means & Unsupervised Learning	🔜 Coming soon
F3	The GenAI Builder	GenAI Foundations	🔜 Coming soon
F4	Ship Ready	EDA, Business Thinking & Sprint Readiness	🔜 Coming soon

F1 — The Prediction Engine ✅

**9 skills. Full regression pipeline. From "what are we building?" to "here's the business impact."**

f1-the-prediction-engine/
├── SESSION.md                     ← Start here
├── problem-framing-skill/         ← Frame the right problem before touching data
├── model-hypothesis-skill/        ← Choose a hypothesis that matches your situation
├── loss-design-skill/             ← Design loss around business costs, not defaults
├── training-diagnostics-skill/    ← Debug training before trusting the output
├── feature-engineering-skill/     ← Domain knowledge beats polynomial noise
├── generalization-skill/          ← Overfitting, regularization, assumption checks
├── data-integrity-skill/          ← Catch leakage before it reaches production
├── evaluation-skill/              ← Report rupee impact, not just RMSE
└── ml-system-skill/               ← The full 7-stage pipeline, gate by gate

F2 — Cluster Thinking 🔜

**K-Means & Unsupervised Learning — when you don't have labels**

f2-cluster-thinking/
└── SESSION.md                     ← Preview: what's coming

Skills planned: unsupervised framing, K-Means intuition, cluster failure modes, validation (elbow + silhouette), segment-to-insight, full unsupervised pipeline.