Individual skill
together-deploy-integration
Deploy and roll back Together AI integrations across serverless inference or v2 Dedicated Model Inference with secret injection, health probes, traffic control, and cost shutdown. Use when releasing Together-backed services or dedicated models. Trigger with "deploy Together", "Together dedicated endpoint", or "Together rollout".
skills/.curated/together-deploy-integration/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Last checked
- Nov 12, 2026
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- Repository stars (not skill ratings)
- 2,916
- Repository last updated
- Nov 12, 2026
- License
- MIT
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- together-ai Declared skill tag
- deployment Declared skill tag
- devops Derived category
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SKILL.mdcore · 4,269 bytesreferences/official-docs.mddoc · 3,032 bytes
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# Together AI Deployment Integration
## Overview
This skill separates application release from paid Together capacity changes and defines a reversible deployment for serverless or current v2 dedicated inference.
## Prerequisites
- A tested application artifact and model-quality evidence
- Environment-scoped secret references and network egress policy
- Current model availability plus serverless or dedicated capacity decision
- Health, canary, rollback, cost, and teardown owners
## Tool Discipline
