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Agent skill

Together Local Dev Loop

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

Develop Together AI integrations with a fake transport, recorded response shapes, deterministic assertions, and an opt-in bounded live probe.

MITAuto-check passed

Install Together Local Dev Loop

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill together-local-dev-loop -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace together-local-dev-loop --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-local-dev-loop .claude/skills/together-local-dev-loop && 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-local-dev-loop
GitHub stars
2.8k
Token cost
~966 tokens
SKILL.md length
392 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Develop Together AI integrations with a fake transport, recorded response shapes, deterministic assertions, and an opt-in bounded live probe.

  • Works in 6 steps: Locate the narrowest Together client… → Build typed fake responses for… → Assert model selection, request bounds,… → …
  • Iterating without spending tokens on every test
  • SKILL.md covers Overview, Prerequisites, Tool Discipline and Current Contract, plus 7 more sections
  • Needs TOGETHER_API_KEY

What it does

Together Local Dev Loop is an agent skill from jeremylongshore/tons-of-skills-marketplace. Develop Together AI integrations with a fake transport, recorded response shapes, deterministic assertions, and an opt-in bounded live probe. Use when iterating without spending tokens on every test. Trigger with "Together local dev", "mock Together API", or "test Together client".

Its SKILL.md is about 970 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; optional live probes require network access and a Together AI project key

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

  • Iterating without spending tokens on every test
  • With Together local dev
  • Mock Together API
  • Test Together client

Example prompts

  • “Together local dev”
  • “mock Together API”
  • “test Together client”
  • “/together-local-dev-loop”

Requirements

  • Python 3
  • A credential in TOGETHER_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code; optional live probes require network access and a Together AI project key
  • 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. Locate the narrowest Together client boundary and enumerate consumed fields.
  2. Build typed fake responses for non-streaming, streaming, and each retry class.
  3. Assert model selection, request bounds, idempotent reconciliation keys, and redaction.
  4. Gate the live probe behind an explicit environment switch plus a development key.
  5. Limit the live probe to one small request against a catalog-resolved model.
  6. Compare shape-level behavior, update sanitized fixtures if approved, and record cost/cleanup.

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
    • github.com

    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; optional live probes require network access and a Together AI project key

    From compatibility in the SKILL.md frontmatter.

Context cost

Together Local Dev Loop loads about 966 tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 392 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~966
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). 392 words, ~966 tokens.

Download SKILL.mdSave it as .claude/skills/together-local-dev-loop/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
together-local-dev-loop
description
Develop Together AI integrations with a fake transport, recorded response shapes, deterministic assertions, and an opt-in bounded live probe. Use when iterating without spending tokens on every test. Trigger with "Together local dev", "mock Together API", or "test Together client".
allowed-tools
Read, Glob, Grep, WebFetch, Write, Edit
compatibility
Designed for Claude Code; optional live probes require network access and a Together AI project key
argument-hint
[repository-path] [test-command]
version
1.9.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
saas, together-ai, testing
model
inherit
effort
medium

Together AI Local Development Loop

Overview

This skill keeps ordinary development offline and deterministic while retaining one explicit live lane for detecting provider-contract drift.

Prerequisites

  • The repository's test runner and client abstraction
  • Sanitized fixtures for success, streaming chunks, 401, 404, 429, and 503
  • A separate development project key for an opt-in live probe
  • A fixed token and request budget for that probe

Tool Discipline

Use Read, Glob, and Grep to discover the wrapper, tests, fixtures, and environment gates. Use WebFetch to confirm current response and error shapes. Use Write or Edit only after matching repository conventions; never save live prompts, outputs, or credentials as fixtures.

Current Contract

  • Inject a client or transport rather than mocking SDK internals throughout the codebase.
  • Preserve the SDK response fields the application actually consumes: choices, deltas, finish reason, usage, and error status.
  • Make live tests opt-in, bounded, non-sensitive, and visibly skipped when no approved key exists.
  • Test dynamic limit-header handling without hard-coding permanent RPM or TPM values.

Authentication

Offline tests use no key. The live lane reads a development-only TOGETHER_API_KEY from the approved test secret store and must be unavailable to untrusted fork workflows.

Instructions

  1. Locate the narrowest Together client boundary and enumerate consumed fields.
  2. Build typed fake responses for non-streaming, streaming, and each retry class.
  3. Assert model selection, request bounds, idempotent reconciliation keys, and redaction.
  4. Gate the live probe behind an explicit environment switch plus a development key.
  5. Limit the live probe to one small request against a catalog-resolved model.
  6. Compare shape-level behavior, update sanitized fixtures if approved, and record cost/cleanup.
Show full SKILL.md (129 more words)Show less

Approval Boundaries

Do not expose a live key to pull requests from forks. Do not refresh fixtures from customer traffic or authorize an unbounded live test suite.

Output

Return fake-contract coverage, offline test results, live-lane disposition, model-resolution evidence, request budget, and any detected SDK or API drift.

Error Handling

ConditionResponse
SDK object is hard to fakeIntroduce an application-owned adapter; do not patch deep internals.
Live key absentMark the live lane skipped, not passed.
Fixture contains sensitive textRemove it and replace it with synthetic data.
Live response shape changedPreserve evidence and update the adapter before fixtures.

Examples

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

text
offline=34_pass; live=skipped(no-approved-key); fixtures=synthetic; token_budget=128

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-local-dev-loop of jeremylongshore/tons-of-skills-marketplace.

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

Open the folder on GitHubat commit cfae287

Compare with similar skills

Together Local Dev Loop 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 Local Dev Loop compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Together Local Dev Loop this skilljeremylongshore/tons-of-skills-marketplace2.8k—~966Automated safety check: PassMIT
Kiln Check Finetune DeprecationKiln-AI/Kiln5.2k—~1.9kAutomated safety check: NotesCustom licence
Hermes Production Gateway Operationshewi333/Mom-n-Pop-Skills122—~2kAutomated safety check: WarnMIT
Image Generation Gatewayscalesthio/generative-media-skills197—~20kAutomated safety check: PassMIT
Together Fireworksericrisco/rsc-harness180—~3.3kAutomated safety check: PassMIT
Together CI Integrationjeremylongshore/tons-of-skills-marketplace2.8k—~1kAutomated safety check: PassMIT

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Works with

Questions about Together Local Dev Loop

What does Together Local Dev Loop do?

Develop Together AI integrations with a fake transport, recorded response shapes, deterministic assertions, and an opt-in bounded live probe. Together Local Dev Loop is an agent skill from jeremylongshore/tons-of-skills-marketplace. Develop Together AI integrations with a fake transport, recorded response shapes, deterministic assertions, and an opt-in bounded live probe.

When should I use Together Local Dev Loop?

Together Local Dev Loop fits situations like: iterating without spending tokens on every test; with Together local dev; mock Together API; test Together client.

How do I install Together Local Dev Loop in Claude Code?

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

How do I install Together Local Dev Loop in Codex?

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

Can I use Together Local Dev Loop 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-local-dev-loop -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-local-dev-loop, .gemini/skills/together-local-dev-loop, .github/skills/together-local-dev-loop and .opencode/skills/together-local-dev-loop in your project.

What does Together Local Dev Loop need to run?

Going by SKILL.md and its folder, Together Local Dev Loop needs credentials named TOGETHER_API_KEY. Our summary lists: Python 3; 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; optional live probes require network access and a Together AI project key.

Does Together Local Dev Loop access the network?

SKILL.md names 2 domains. As links in the text: docs.together.ai and github.com. This is read from the text; nothing was executed.

Is Together Local Dev Loop 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 Local Dev Loop use?

Together Local Dev Loop 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 Local Dev Loop use?

About 966 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 Local Dev Loop?

Skills that share tags, products or a category with Together Local Dev Loop: Kiln Check Finetune Deprecation (Kiln-AI/Kiln, 5.2k stars), Hermes Production Gateway Operations (hewi333/Mom-n-Pop-Skills, 122 stars), Image Generation Gateways (calesthio/generative-media-skills, 197 stars) and Together Fireworks (ericrisco/rsc-harness, 180 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Together Local Dev Loop?

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.