Individual skill
together-cost-tuning
Reduce Together AI spend using measured token usage, live per-model prices, cached-input evidence, batch discounts, model evaluation, and dedicated break-even analysis. Use when forecasting or optimizing Together workloads. Trigger with "Together cost", "optimize Together spend", or "Together batch savings".
plugins/saas-packs/together-pack/skills/together-cost-tuning/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Yes
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- No
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- Observed behavior
- Not checked yet
- Last checked
- Nov 12, 2026
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Repository context
- Repository stars (not skill ratings)
- 2,917
- Repository last updated
- Nov 12, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- 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
- cost-optimization Declared skill tag
- engineering Derived category
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SKILL.mdcore · 4,016 bytesSKILL.mdcore · 4,016 bytesreferences/official-docs.mddoc · 3,032 bytes
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# Together AI Cost Tuning
## Overview
This skill builds a reproducible cost model from actual usage and current pricing rather than embedding a price table that will drift.
## Prerequisites
- A representative usage window with input, cached-input, output, and request counts
- Current model catalog/pricing and billing analytics access
- Quality, latency, context, and availability requirements
- A monthly budget and an owner for model or capacity changes
## Tool Discipline
