together-performance-tuning
Together AI performance tuning for inference, fine-tuning, and model deployment. Use when working with Together AI''s OpenAI-compatible API. '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill together-performance-tuning --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 Performance Tuning ## Overview Guidance for performance tuning with Together AI inference and fine-tuning API. ## Instructions ### Key Points - Together AI is OpenAI-compatible: `base_url = 'https://api.together.xyz/v1'` - Use the `together` Python SDK or any OpenAI client library - Supports 100+ open-source models (Llama, Mixtral, Qwen, FLUX) - Fine-tuning available for supported mo
What does the together-performance-tuning skill do?
Together AI performance tuning for inference, fine-tuning, and model deployment. Use when working with Together AI''s OpenAI-compatible API. '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill together-performance-tuning --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.