Big AGI

VERIFIED

AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. Includes AI personas, AGI functions, world-class Beam multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.

Downloads 0
Stars 7.0K
Version 1.0.0
Quality 100/100 · Excellent

Install with one command

$ npx skills add enricoros/big-AGI

Best for

Coding agents

Discover skills for code generation, repository analysis, pull-request review, testing, debugging, and agentic software engineering.

Choose it when

  • You want a GitHub-backed skill with 7.0K stars.
  • You need a reusable install command for agents.
  • You want to compare it with related marketplace skills.

Check before install

  • Pushed today
  • License: MIT
  • Review the repository README and examples.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100
GitHub stars
7.0K
Freshness
Today
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Overview

AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. Includes AI personas, AGI functions, world-class Beam multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

typescriptFULL
ai-agentsFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
5/23/2026
Published
5/23/2026

Frameworks & Tools

TypeScriptAI Agents

Author

E

enricoros

@enricoros

Health Signals

GitHub stars
7.0K
Quality score
69/100
Last GitHub push
May 22, 2026
Framework hints
2

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

  • Open source (public GitHub repo)
  • AI static analysis passed
  • License: MIT
  • Manually verified by team