Agent skill

Together Prod Checklist

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Review a Together AI production release across model policy, auth, data controls, dynamic limits, retries, observability, cost, deprecations, asynchronous recovery, and rollback.

MITAuto-check passedDevOps & Cloud

Install Together Prod Checklist

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill together-prod-checklist -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace together-prod-checklist --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-prod-checklist .claude/skills/together-prod-checklist && rm -rf skills-src

Use ~/.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/

Facts

Skill name
together-prod-checklist
GitHub stars
2.8k
Token cost
~981 tokens
SKILL.md length
354 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Review a Together AI production release across model policy, auth, data controls, dynamic limits, retries, observability, cost, deprecations, asynchronous recovery, and rollback.

  • Works in 6 steps: Pin artifact, SDK major, configuration,… → Verify authentication, data… → Run offline tests and a bounded live… → …
  • Reviewing go-live
  • SKILL.md covers Overview, Prerequisites, Tool Discipline and Current Contract, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Together Prod Checklist is an agent skill from jeremylongshore/tons-of-skills-marketplace. Review a Together AI production release across model policy, auth, data controls, dynamic limits, retries, observability, cost, deprecations, asynchronous recovery, and rollback. Use when reviewing go-live or a material model change. Trigger with "Together production checklist", "Together go live", or "Together readiness review".

Its SKILL.md is about 980 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; verification may require deployment, telemetry, billing, and Together project access

It sits in DevOps & Cloud, covering Async programming and Observability. 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

  • Reviewing go-live
  • A material model change
  • With Together production checklist
  • Together go live

Example prompts

  • “Together production checklist”
  • “Together go live”
  • “Together readiness review”
  • “/together-prod-checklist”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code; verification may require deployment, telemetry, billing, and Together project access
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, WebFetch, Write, Edit

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Pin artifact, SDK major, configuration, model policy, and environment identity.
  2. Verify authentication, data classification, redaction, retention, and tenant isolation.
  3. Run offline tests and a bounded live canary for response shape, latency, quality, usage, and limits.
  4. Exercise 401, 402, 404, 429, 503, timeout, partial batch, and model-deprecation paths.
  5. Reconcile spend forecasts with billing analytics and confirm alerts and dedicated teardown.
  6. Execute rollback/degradation evidence, assign all exceptions, and issue go, conditional-go, or no-go.

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:

    • Read
    • Glob
    • Grep
    • WebFetch
    • Write
    • Edit

    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 no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code; verification may require deployment, telemetry, billing, and Together project access

    From compatibility in the SKILL.md frontmatter.

Context cost

Together Prod Checklist loads about 981 tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 89 tokens; SKILL.md has 354 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~981
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.7k

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). 354 words, ~981 tokens.

Download SKILL.mdSave it as .claude/skills/together-prod-checklist/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
together-prod-checklist
description
Review a Together AI production release across model policy, auth, data controls, dynamic limits, retries, observability, cost, deprecations, asynchronous recovery, and rollback. Use when reviewing go-live or a material model change. Trigger with "Together production checklist", "Together go live", or "Together readiness review".
allowed-tools
Read, Glob, Grep, WebFetch, Write, Edit
compatibility
Designed for Claude Code; verification may require deployment, telemetry, billing, and Together project access
argument-hint
[repository-path] [environment] [model-or-endpoint]
version
1.9.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
saas, together-ai, production-readiness
model
inherit
effort
high

Together AI Production Checklist

Overview

This skill produces a release decision backed by current provider, application, security, reliability, quality, and cost evidence.

Prerequisites

  • A pinned release artifact and environment configuration
  • Model/endpoint quality, latency, availability, and cost thresholds
  • Secret, data handling, monitoring, incident, and rollback owners
  • Current Together model, limit, pricing, and deprecation evidence

Tool Discipline

Use Read, Glob, and Grep to inspect configuration, model policy, retry logic, tests, and runbooks. Use WebFetch for current Together contracts. Use Write or Edit only for approved remediation or the release record.

Current Contract

  • Resolve model IDs and deprecation status at review time; do not trust an old README.
  • Read dynamic limit headers and bound concurrency, tokens, retries, and queues.
  • Separate serverless, batch, fine-tuning, and dedicated failure/recovery paths.
  • Dedicated replicas require explicit cost shutdown; batches require output/error reconciliation.

Authentication

Verify environment-specific project keys, secret-manager injection, rotation/revocation, fork isolation, and log redaction. Never prove readiness by displaying a credential or authorization header.

Instructions

  1. Pin artifact, SDK major, configuration, model policy, and environment identity.
  2. Verify authentication, data classification, redaction, retention, and tenant isolation.
  3. Run offline tests and a bounded live canary for response shape, latency, quality, usage, and limits.
  4. Exercise 401, 402, 404, 429, 503, timeout, partial batch, and model-deprecation paths.
  5. Reconcile spend forecasts with billing analytics and confirm alerts and dedicated teardown.
  6. Execute rollback/degradation evidence, assign all exceptions, and issue go, conditional-go, or no-go.
Show full SKILL.md (119 more words)Show less

Approval Boundaries

Do not waive a failed security, quality, cost, or recovery control. Conditional approval must name the owner, deadline, monitoring, and rollback trigger.

Output

Return a control-by-control evidence matrix, exceptions, owners, current-provider snapshot, rollback result, cost state, and release verdict.

Error Handling

ConditionResponse
Model is deprecated or redirectedRe-evaluate behavior and migrate before go-live.
Live probe cannot runDo not report it passed; issue an explicit exception or no-go.
Cost/usage is unreconciledBlock capacity changes and assign the billing owner.
Rollback failsNo-go until a recoverable path is proven.

Examples

The example below shows the minimum redacted evidence expected from a successful invocation of this operator workflow.

text
artifact=pinned; auth=pass; model=current; limits=measured; rollback=pass; verdict=go

Resources

© 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-prod-checklist of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/official-docs.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Together Prod Checklist 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.

Together Prod Checklist compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Together Prod Checklist this skilljeremylongshore/tons-of-skills-marketplace2.8k—~981Automated safety check: PassMIT
Operating Livekit Agentslivekit-examples/agent-starter-python2641 repos~2.4kAutomated safety check: PassMIT
Dt Obs ServicesDynatrace/dynatrace-for-ai163—~3.3kAutomated safety check: PassApache-2.0
Vercel Optimize Auditvercel-labs/agent-skills32k8 repos~4.3kAutomated safety check: PassNone
Kubeshark Installerkubeshark/kubeshark12k—~3.6kAutomated safety check: NotesApache-2.0
Kubeshark KFL2 Filter Referencekubeshark/kubeshark12k—~3.6kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Together Prod Checklist

What does Together Prod Checklist do?

Review a Together AI production release across model policy, auth, data controls, dynamic limits, retries, observability, cost, deprecations, asynchronous recovery, and rollback. Together Prod Checklist is an agent skill from jeremylongshore/tons-of-skills-marketplace. Review a Together AI production release across model policy, auth, data controls, dynamic limits, retries, observability, cost, deprecations, asynchronous recovery, and rollback.

When should I use Together Prod Checklist?

Together Prod Checklist fits situations like: reviewing go-live; A material model change; with Together production checklist; together go live.

How do I install Together Prod Checklist in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill together-prod-checklist -a claude-code`. Or copy the skill folder (skills/.curated/together-prod-checklist in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/together-prod-checklist in your project. Claude Code loads it when a task matches its description.

How do I install Together Prod Checklist in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill together-prod-checklist -a codex`. Or copy the skill folder (skills/.curated/together-prod-checklist in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/together-prod-checklist in your project. Codex loads it when a task matches its description.

Can I use Together Prod Checklist 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-prod-checklist -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-prod-checklist, .gemini/skills/together-prod-checklist, .github/skills/together-prod-checklist and .opencode/skills/together-prod-checklist in your project.

What does Together Prod Checklist need to run?

SKILL.md names no scripts, command-line tools or credentials: Together Prod Checklist is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, WebFetch, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; verification may require deployment, telemetry, billing, and Together project access.

Does Together Prod Checklist 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 Prod Checklist 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 Prod Checklist use?

Together Prod Checklist 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 Prod Checklist use?

About 981 tokens (SKILL.md is roughly 3.9k 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 Prod Checklist?

Skills that share tags, products or a category with Together Prod Checklist: Operating Livekit Agents (livekit-examples/agent-starter-python, 264 stars), Dt Obs Services (Dynatrace/dynatrace-for-ai, 163 stars), Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars) and Kubeshark Installer (kubeshark/kubeshark, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Together Prod Checklist?

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.