skills.rest
patchy631patchy631Community·9 Agent Skills Included

ai-engineering-hub

Hands-on projects and agent skills for building real AI systems

Teaches developers to build production AI systems through 90+ ready-to-run projects covering RAG, agents, OCR, voice bots, and model fine-tuning. Includes agent skills for Hugging Face workflows like training models on cloud GPUs, managing datasets with SQL, and publishing evaluation results. Removes the guesswork from learning AI engineering with working code, clear tutorials, and reusable automation scripts.
37,266|6,150
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npx skills add patchy631/ai-engineering-hub --all -g -y
Available:

Tells the AI agent which Hugging Face and web-scraping skills exist and instructs it to read the matching SKILL.md file whenever a user request fits a skill's purpose.

All Skills in This Repository (9)

Pure Emerald Level Indicators
📦 In Repo
patchy631patchy631

hugging-face-evaluation

Publish and update evaluation results on Hugging Face model cards.

Community
Intermediate
📦 In Repo
patchy631patchy631

hugging-face-datasets

Manage Hugging Face Hub datasets with SQL queries via DuckDB.

Community
Intermediate
📦 In Repo
patchy631patchy631

hugging-face-cli

Manage Hugging Face Hub resources via the hf command-line interface.

Community
Intermediate
📦 In Repo
patchy631patchy631

hugging-face-trackio

Log ML training metrics via Python API and sync dashboards to HF Spaces.

Community
Intermediate
📦 In Repo
patchy631patchy631

brightdata-web-mcp

Fetch live web content and extract structured data via Bright Data MCP.

Community
Intermediate
📦 In Repo
patchy631patchy631

hugging-face-jobs

Run arbitrary Python workloads on Hugging Face Jobs with UV or Docker and secure token authentication.

Community
Intermediate
📦 In Repo
patchy631patchy631

hugging-face-paper-publisher

Publish and manage research papers on the Hugging Face Hub.

Community
Intermediate
📦 In Repo
patchy631patchy631

hugging-face-model-trainer

Train language models with TRL on Hugging Face Jobs.

Community
Advanced
📦 In Repo
patchy631patchy631

grpo-finetune

Fine-tune Qwen3-8B with GRPO reinforcement learning on Fireworks GPUs from a dataset and reward function.

Community
Advanced

Frequently Asked Questions

FAQPage Schema
How to install AI Engineering Hub?▼

Run `npx skills add patchy631/ai-engineering-hub --all -g -y` in your terminal to install all skills in this suite globally.

What can I learn from AI Engineering Hub?▼

You get 90+ hands-on projects covering RAG, AI agents, OCR, voice bots, and model fine-tuning, organized from beginner to advanced level.

Can I fine-tune models without a local GPU?▼

Yes. The included Hugging Face skills let your agent launch training jobs on cloud GPUs, track metrics live, and save the finished model to the Hub.

Does it work with Claude Code and other AI agents?▼

Yes. All skills follow the standard SKILL.md format, so they work in Claude Code, Cursor, Codex, and other compatible agents.

Is AI Engineering Hub suitable for beginners?▼

Yes. Projects are grouped by difficulty, so beginners can start with simple OCR and chat apps before moving to advanced agent systems.

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