togethercomputer

Skills to help your coding agents use Together AI products.

16
2
100% credibility
Found Apr 03, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A set of instructional guides that enable AI coding agents in tools like Cursor and Claude to effectively use Together AI's features for inference, fine-tuning, multimodal generation, and infrastructure.

How It Works

1
🔍 Discover smart guides for AI helpers

You find a collection of easy guides that teach your AI coding buddy how to use powerful tools for creating chatbots, images, videos, and more.

2
📥 Add guides to your AI coding app

Drop the guides into apps like Cursor or Claude Code with a simple copy, so your AI instantly knows new skills.

3
💭 Ask your AI to build something fun

Say 'Make a chatbot that generates images' and your AI uses the guides to create working code perfectly tailored for you.

4
▶️ Run your new creation

Paste the code, connect the AI service, and launch – everything works smoothly on the first try.

Celebrate your AI-powered project

Your chatbot or image generator springs to life, saving you hours and sparking endless ideas.

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AI-Generated Review

What is skills?

This repo delivers 12 specialized skills – markdown instruction sets – that teach AI coding agents how to integrate Together AI's full platform, from chat completions and embeddings to fine-tuning, images, audio, video, batch inference, and GPU clusters. Install via `npx skills add togethercomputer/skills` for Claude Code, Cursor, Codex, or Gemini CLI, and agents auto-load relevant skills to generate correct Python or TypeScript code using Together's v2 SDK. It solves agents hallucinating wrong model IDs, API patterns, or best practices when building Together-powered apps.

Why is it gaining traction?

Unlike scattered docs or generic GitHub skills for Anthropic Claude or Copilot, these are official Together AI helpers tailored to their products, with runnable scripts for every workflow like tool calling loops or realtime TTS. Developers notice instant productivity: agents produce deploy-ready code for RAG pipelines or dedicated endpoints without debugging SDK quirks. The CLI install and agent compatibility make it a seamless skills helper for jobs involving Together AI.

Who should use this?

Backend devs prototyping Together AI chatbots or RAG systems in Cursor/Claude Code; ML engineers fine-tuning models or managing GPU clusters; full-stack teams generating images/videos/audio via agent-written scripts. Ideal for those tired of manual API reference hunting in helping skills facilitating exploration insight and action workflows.

Verdict

Solid pick for Together AI users with coding agents – the comprehensive coverage and examples justify adding it now. At 16 stars and 1.0% credibility, it's immature with room for more tests, but official backing, MIT license, and quality evals make it a helpful skills repo worth forking. (187 words)

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