togetherai skills

Together AI Skills for Coding Agents

A single agent skill providing comprehensive knowledge of the Together AI platform — inference, training, embeddings, audio, video, images, function calling, and infrastructure.

It uses progressive disclosure: one always-loaded description, a compact router, then one of 15 domain guides, then deep references and runnable scripts. Only the parts relevant to your task ever enter the agent's context.

Each skill teaches AI coding agents how to use a specific Together AI product, including API patterns, SDK usage (Python and TypeScript), CLI commands, direct API usage, model selection, and best practices. Skills include runnable Python scripts (using the Together Python v2 SDK), TypeScript examples, and CLI/API workflow guidance.

Compatible with Claude Code, Cursor, Codex, and Gemini CLI.

What Are Skills?

Skills are markdown instruction files that give AI coding agents domain-specific knowledge. When an agent detects that a skill is relevant to your task, it loads the skill's instructions and uses them to write better code.

Each skill contains:

• `SKILL.md` — Lean routing guidance for the agent: when to use the skill, when to hand off, and where to look next
• `references/` — Detailed reference docs (model lists, API parameters, CLI commands)
• `scripts/` — Runnable Python scripts demonstrating complete workflows
• `agents/openai.yaml` — Optional UI metadata for OpenAI/Codex surfaces

Skills Overview

| Domain guide | What it covers | Scripts | |--------------|----------------|---------| | audio.md | Text-to-speech (REST, streaming, realtime WebSocket) and speech-to-text (transcription, translation, diarization, tim... | stt_realtime.py, stt_transcribe.py, stt_transcribe.ts, tts_generate.py, tts_generate.ts, tts_websocket.py | | batch-inference.md | Asynchronous bulk inference over a JSONL file, up to 50% cheaper than real-time, with a 24-hour completion window (ba... | batch_workflow.py, batch_workflow.ts | | chat-completions.md | Serverless, OpenAI-compatible text generation: one call, billed per token. | async_parallel.py, chat_basic.py, chat_basic.ts, debug_headers.py, debug_headers.ts, reasoning_models.py, reasoning_models.ts, structured_outputs.py, structured_outputs.ts, tool_call_loop.py, tool_call_loop.ts | | dedicated-containers.md | Run your own Docker image as an inference worker on Together GPUs: Sprocket handles the request lifecycle, Jig builds... | queue_client.py, queue_client.ts, sprocket_hello_world.py | | dedicated-model-inference.md | Dedicated model inference (DMI) serves a model on reserved single-tenant GPUs. | deploy_model.py, upload_custom_model.py | | embeddings.md | Together does not currently offer embedding or rerank models. Checked 2026-10-07. | embed_and_rerank.py, embed_and_rerank.ts, rag_pipeline.py, semantic_search.py | | evaluations.md | Managed LLM-as-a-judge jobs: classify outputs into labels, score them on a scale, or compare two responses. | run_evaluation.py, run_evaluation.ts | | fine-tuning.md | Adapt a model on your data: LoRA (default), full fine-tuning, DPO preference tuning, VLM, function-calling, and reaso... | dpo_workflow.py, finetune_workflow.py, function_calling_finetune.py, reasoning_finetune.py, vlm_finetune.py | | gpu-clusters.md | GPU clusters (H100, H200, B200, B300, and other types; availability varies by region) with Kubernetes or Slurm, share... | manage_cluster.py, manage_cluster.ts, manage_storage.py | | images.md | Text-to-image generation and image editing. | generate_image.py, generate_image.ts, kontext_editing.py | | kueue.md | Kueue is a Kubernetes-native job queueing controller. | — | | sandboxes.md | Managed remote Python execution with stateful sessions, for running agent-written code, data analysis, and charts. | execute_with_session.py, execute_with_session.ts | | togetherlink.md | TogetherLink (togetherlink, alias tlink; beta) runs coding agents and desktop apps you already have on models hos... | — | | video.md | Text-to-video and image-to-video, billed per video. | generate_video.py, generate_video.ts, image_to_video.py | | volcano.md | Volcano is a Kubernetes-native batch scheduler. | — |

Installation

Quick Install (Any Agent)

Install all skills at once using skills.sh: