Senior Data Scientist
Raidriar7170/hermes-skilleval
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics.
Reduce Together AI spend using measured token usage, live per-model prices, cached-input evidence, batch discounts, model evaluation, and dedicated break-even analysis.
Install Together Cost Tuning
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill together-cost-tuning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace together-cost-tuning --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/together-cost-tuning .claude/skills/together-cost-tuning && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "together-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/together-cost-tuning into .claude/skills/together-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "together-cost-tuning", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/together-cost-tuningType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill together-cost-tuning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace together-cost-tuning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/together-cost-tuning .agents/skills/together-cost-tuning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "together-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/together-cost-tuning into .agents/skills/together-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "together-cost-tuning", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill together-cost-tuning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace together-cost-tuning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/together-cost-tuning .cursor/skills/together-cost-tuning && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "together-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/together-cost-tuning into .cursor/skills/together-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "together-cost-tuning", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/together-cost-tuning--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill together-cost-tuning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace together-cost-tuning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/together-cost-tuning .gemini/skills/together-cost-tuning && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "together-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/together-cost-tuning into .gemini/skills/together-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "together-cost-tuning", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace together-cost-tuningInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill together-cost-tuning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/together-cost-tuning .github/skills/together-cost-tuning && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "together-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/together-cost-tuning into .github/skills/together-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "together-cost-tuning", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill together-cost-tuning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace together-cost-tuning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/together-cost-tuning .opencode/skills/together-cost-tuning && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "together-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/together-cost-tuning into .opencode/skills/together-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "together-cost-tuning", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
together-cost-tuning- GitHub stars
- 2.8k
- Token cost
- ~1k tokens
- SKILL.md length
- 389 words
- Files
- 2 (incl. references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Reduce Together AI spend using measured token usage, live per-model prices, cached-input evidence, batch discounts, model evaluation, and dedicated break-even analysis.
- Works in 6 steps: Group measured requests by model,… → Fetch current pricing and batch… → Reconcile calculated cost with Together… → …
- Optimizing Together workloads
- SKILL.md covers Overview, Prerequisites, Tool Discipline and Current Contract, plus 7 more sections
- Needs TOGETHER_API_KEY
What it does
Together Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. 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".
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Designed for Claude Code; current estimates require Together AI pricing and usage data
It sits in Data & Analytics, covering Forecasting and time series and Machine learning. It works with Together AI. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- Optimizing Together workloads
- With Together cost
- Optimize Together spend
- Together batch savings
Example prompts
- “Together cost”
- “optimize Together spend”
- “Together batch savings”
- “/together-cost-tuning”
Requirements
- A credential in TOGETHER_API_KEY
- Compatibility (from SKILL.md): Designed for Claude Code; current estimates require Together AI pricing and usage data
- Pre-approved tools (allowed-tools): Read, Glob, Grep, WebFetch, Write, Edit
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Group measured requests by model, workload, token class, latency, and success state.
- Fetch current pricing and batch eligibility, recording retrieval time and source.
- Reconcile calculated cost with Together billing analytics before proposing savings.
- Evaluate output bounds, prompt reuse/caching, smaller models, and asynchronous batch in that order.
- Benchmark quality and latency before shifting models or endpoint type.
- Compare steady utilization with dedicated per-minute capacity, then publish forecast, risk, rollback, and owner.
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadGlobGrepWebFetchWriteEdit
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
docs.together.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
TOGETHER_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Designed for Claude Code; current estimates require Together AI pricing and usage data
From compatibility in the SKILL.md frontmatter.
Context cost
Together Cost Tuning loads about 1k tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 83 tokens; SKILL.md has 389 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 389 words, ~1,004 tokens.
Download SKILL.mdSave it as
.claude/skills/together-cost-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- together-cost-tuning
- description
- 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".
- allowed-tools
- Read, Glob, Grep, WebFetch, Write, Edit
- compatibility
- Designed for Claude Code; current estimates require Together AI pricing and usage data
- argument-hint
- [repository-path] [usage-window] [budget]
- version
- 1.9.0
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- license
- MIT
- tags
- saas, together-ai, cost-optimization
- model
- inherit
- effort
- high
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
Use Read, Glob, and Grep to find model selection, token bounds, caching, batch, and telemetry logic. Use WebFetch only for current official pricing and eligibility. Use Write or Edit for an approved cost model, instrumentation, or configuration change.
Current Contract
- Serverless models bill from current per-model input/output rates; some expose discounted cached input.
- Eligible batch work can cost up to 50% less, but eligibility and discount vary by model.
- Dedicated Model Inference bills per minute per running replica and hardware, not per token.
- Usage and prices change; snapshot retrieval time and source with every forecast.
Authentication
Billing and usage views require authorized Together project access. API workloads use TOGETHER_API_KEY; record aggregate usage and project alias only, not the credential or sensitive request content.
Instructions
- Group measured requests by model, workload, token class, latency, and success state.
- Fetch current pricing and batch eligibility, recording retrieval time and source.
- Reconcile calculated cost with Together billing analytics before proposing savings.
- Evaluate output bounds, prompt reuse/caching, smaller models, and asynchronous batch in that order.
- Benchmark quality and latency before shifting models or endpoint type.
- Compare steady utilization with dedicated per-minute capacity, then publish forecast, risk, rollback, and owner.
Show full SKILL.md (124 more words)Show less
Approval Boundaries
Do not change a production model, reduce quality/safety controls, submit batch jobs, or provision dedicated replicas solely from a spreadsheet estimate.
Output
Return source-stamped prices, usage baseline, reconciled cost, option-by-option savings, quality/latency evidence, break-even assumptions, recommendation, and rollback.
Error Handling
| Condition | Response |
|---|---|
| Usage lacks token fields | Add measurement before estimating savings. |
| Catalog and invoice diverge | Use billed data for history and current catalog for forward scenarios. |
| Batch model ineligible | Price synchronous or another explicitly tested model. |
| Dedicated utilization uncertain | Run a bounded capacity test; do not provision from peak guesses. |
Examples
The example below shows the minimum redacted evidence expected from a successful invocation of this operator workflow.
baseline=reconciled; prices=live-snapshot; option=batch; savings=modeled; quality=gate-requiredResources
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in skills/.curated/together-cost-tuning of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- references/official-docs.md
Open the folder on GitHubat commit cfae287
Compare with similar skills
Together Cost Tuning next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Together Cost Tuning this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1k | Automated safety check: Pass | MIT | |
| Senior Data ScientistRaidriar7170/hermes-skilleval | 125 | 5 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Time Series Analytics Useropen-edge-platform/edge-ai-libraries | 171 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Aeon Time Series Machine Learningdavila7/claude-code-templates | 33k | 13 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Data Scientistdavila7/claude-code-templates | 33k | 8 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Longbridge Quanthelsome/folio | 271 | 1 repos | ~1.6k | Automated safety check: Pass | MIT |
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Questions about Together Cost Tuning
What does Together Cost Tuning do?
Reduce Together AI spend using measured token usage, live per-model prices, cached-input evidence, batch discounts, model evaluation, and dedicated break-even analysis. Together Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Reduce Together AI spend using measured token usage, live per-model prices, cached-input evidence, batch discounts, model evaluation, and dedicated break-even analysis.
When should I use Together Cost Tuning?
Together Cost Tuning fits situations like: optimizing Together workloads; with Together cost; optimize Together spend; together batch savings.
How do I install Together Cost Tuning in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill together-cost-tuning -a claude-code`. Or copy the skill folder (skills/.curated/together-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/together-cost-tuning in your project. Claude Code loads it when a task matches its description.
How do I install Together Cost Tuning in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill together-cost-tuning -a codex`. Or copy the skill folder (skills/.curated/together-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/together-cost-tuning in your project. Codex loads it when a task matches its description.
Can I use Together Cost Tuning in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill together-cost-tuning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/together-cost-tuning, .gemini/skills/together-cost-tuning, .github/skills/together-cost-tuning and .opencode/skills/together-cost-tuning in your project.
What does Together Cost Tuning need to run?
Going by SKILL.md and its folder, Together Cost Tuning needs credentials named TOGETHER_API_KEY. Our summary lists: A credential in TOGETHER_API_KEY. Its frontmatter pre-approves these tools: Read, Glob, Grep, WebFetch, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; current estimates require Together AI pricing and usage data.
Does Together Cost Tuning access the network?
SKILL.md names 1 domain. As links in the text: docs.together.ai. This is read from the text; nothing was executed.
Is Together Cost Tuning safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Together Cost Tuning use?
Together Cost Tuning is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Together Cost Tuning use?
About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 758 tokens, read only when the agent opens those files.
What are the alternatives to Together Cost Tuning?
Skills that share tags, products or a category with Together Cost Tuning: Senior Data Scientist (Raidriar7170/hermes-skilleval, 125 stars), Time Series Analytics User (open-edge-platform/edge-ai-libraries, 171 stars), Aeon Time Series Machine Learning (davila7/claude-code-templates, 33k stars) and Data Scientist (davila7/claude-code-templates, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Together Cost Tuning?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.