together-hello-world
Run inference with Together AI -- chat completions, streaming, and model selection. Use when testing open-source models, comparing model performance, or learning the Together AI API. '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill together-hello-world --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Together AI Hello World ## Overview Run chat completions with open-source models via Together AI's OpenAI-compatible API. Supports Llama, Mixtral, Qwen, and 100+ models. Key endpoints: `/v1/chat/completions`, `/v1/completions`, `/v1/embeddings`, `/v1/images/generations`. ## Instructions ### Step 1: Chat Completions ```python from together import Together client = Together() response = client.cha
What does the together-hello-world skill do?
Run inference with Together AI -- chat completions, streaming, and model selection. Use when testing open-source models, comparing model performance, or learning the Together AI API. '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill together-hello-world --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.