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Agent skill

Together Hello World

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

Build a bounded Together AI chat-completion probe with a current model selected from the live catalog, optional streaming, usage capture, and redacted evidence.

MITAuto-check passedAI & LLM Engineering

Install Together Hello World

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace together-hello-world --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-hello-world .claude/skills/together-hello-world && 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-hello-world
GitHub stars
2.8k
Token cost
~961 tokens
SKILL.md length
375 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Build a bounded Together AI chat-completion probe with a current model selected from the live catalog, optional streaming, usage capture, and redacted evidence.

  • Works in 6 steps: Confirm the requested modality is chat… → Create one system message and one… → Choose non-streaming for contract… → …
  • Proving a new inference connection
  • SKILL.md covers Overview, Prerequisites, Tool Discipline and Current Contract, plus 7 more sections
  • Reaches api.together.ai; needs TOGETHER_API_KEY

What it does

Together Hello World is an agent skill from jeremylongshore/tons-of-skills-marketplace. Build a bounded Together AI chat-completion probe with a current model selected from the live catalog, optional streaming, usage capture, and redacted evidence. Use when proving a new inference connection. Trigger with "Together hello world", "first Together request", or "stream Together chat".

Its SKILL.md is about 960 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; live inference requires network access, an API key, and funded Together AI usage

It sits in AI & LLM Engineering, covering LLM API integration. 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

  • Proving a new inference connection
  • With Together hello world
  • First Together request
  • Stream Together chat

Example prompts

  • “Together hello world”
  • “first Together request”
  • “stream Together chat”
  • “/together-hello-world”

Requirements

  • Python 3
  • A credential in TOGETHER_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code; live inference requires network access, an API key, and funded Together AI usage
  • 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. Confirm the requested modality is chat and select a current chat-capable model.
  2. Create one system message and one sanitized user message with an explicit output bound.
  3. Choose non-streaming for contract inspection or streaming for latency and chunk handling.
  4. Validate status, non-empty content, finish reason, model identifier, and usage fields.
  5. Record latency and request outcome without storing the prompt or response when either is sensitive.
  6. Remove disposable output and hand off the model-selection rationale.

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

    Hosts in commands or code, which the agent is likely to contact:

    • api.together.ai

    Also links to:

    • 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; live inference requires network access, an API key, and funded Together AI usage

    From compatibility in the SKILL.md frontmatter.

Context cost

Together Hello World loads about 961 tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 375 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~961
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). 375 words, ~961 tokens.

Download SKILL.mdSave it as .claude/skills/together-hello-world/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
together-hello-world
description
Build a bounded Together AI chat-completion probe with a current model selected from the live catalog, optional streaming, usage capture, and redacted evidence. Use when proving a new inference connection. Trigger with "Together hello world", "first Together request", or "stream Together chat".
allowed-tools
Read, Glob, Grep, WebFetch, Write, Edit
compatibility
Designed for Claude Code; live inference requires network access, an API key, and funded Together AI usage
argument-hint
[repository-path] [python|typescript|rest]
version
1.9.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
saas, together-ai, inference
model
inherit
effort
medium

Together AI First Inference

Overview

This skill produces the smallest observable chat-completion probe without freezing a model catalog entry into application policy.

Prerequisites

  • A configured TOGETHER_API_KEY secret reference
  • Together Python SDK v2, current TypeScript SDK, or an HTTPS client
  • A current chat model resolved from the Together catalog
  • A small approved prompt containing no sensitive data

Tool Discipline

Use Read, Glob, and Grep to inspect the client wrapper and configuration. Use WebFetch for the current quickstart, model catalog, and response contract. Use Write or Edit only for the approved sample or test file; never place the key in code.

Current Contract

  • Call client.chat.completions.create() with a Together model ID such as the current quickstart example.
  • For streaming, iterate chunks and guard for an empty choices array before reading delta.content.
  • Capture finish_reason and usage; bound max_tokens, timeout, and retry count.
  • Re-resolve the model from the live catalog before production use because availability and redirects change.

Authentication

The SDK reads TOGETHER_API_KEY. Direct REST requests send the same project key as a Bearer token to https://api.together.ai/v1/chat/completions. Never return or log the header.

Instructions

  1. Confirm the requested modality is chat and select a current chat-capable model.
  2. Create one system message and one sanitized user message with an explicit output bound.
  3. Choose non-streaming for contract inspection or streaming for latency and chunk handling.
  4. Validate status, non-empty content, finish reason, model identifier, and usage fields.
  5. Record latency and request outcome without storing the prompt or response when either is sensitive.
  6. Remove disposable output and hand off the model-selection rationale.
Show full SKILL.md (117 more words)Show less

Approval Boundaries

Do not send customer data, regulated content, or proprietary prompts until data handling and retention are approved. Do not silently switch to a more expensive or materially different model.

Output

Return the client/runtime, resolved model, streaming mode, bounded request parameters, status, finish reason, token usage, latency, and redaction disposition.

Error Handling

ConditionResponse
401Stop and repair credential injection.
404Refresh the model catalog and deprecation page.
429Read dynamic limit headers and retry with bounded jitter.
503 or 504Retry briefly, then surface overload or timeout evidence.

Examples

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

text
model=catalog-resolved; stream=true; max_tokens=128; status=200; finish=stop; secret=redacted

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-hello-world of jeremylongshore/tons-of-skills-marketplace.

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

Open the folder on GitHubat commit cfae287

Compare with similar skills

Together Hello World 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 Hello World compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Together Hello World this skilljeremylongshore/tons-of-skills-marketplace2.8k—~961Automated safety check: PassMIT
Dingo VerifyMigoXLab/dingo757—~833Automated safety check: PassApache-2.0
Agnes Free Textkangarooking/agnes-free-model-skills199—~630Automated safety check: PassMIT
Openai Docstheowenyoung/home1151 repos~1.4kAutomated safety check: PassApache-2.0
AIbutterbase-ai/butterbase-skills534—~1.1kAutomated safety check: PassMIT
Openagents APIOpenAgentsInc/openagents455—~430Automated safety check: PassApache-2.0

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Works with

Categories

Questions about Together Hello World

What does Together Hello World do?

Build a bounded Together AI chat-completion probe with a current model selected from the live catalog, optional streaming, usage capture, and redacted evidence. Together Hello World is an agent skill from jeremylongshore/tons-of-skills-marketplace. Build a bounded Together AI chat-completion probe with a current model selected from the live catalog, optional streaming, usage capture, and redacted evidence.

When should I use Together Hello World?

Together Hello World fits situations like: proving a new inference connection; with Together hello world; first Together request; stream Together chat.

How do I install Together Hello World in Claude Code?

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

How do I install Together Hello World in Codex?

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

Can I use Together Hello World 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-hello-world -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-hello-world, .gemini/skills/together-hello-world, .github/skills/together-hello-world and .opencode/skills/together-hello-world in your project.

What does Together Hello World need to run?

Going by SKILL.md and its folder, Together Hello World 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; live inference requires network access, an API key, and funded Together AI usage.

Does Together Hello World access the network?

SKILL.md names 2 domains. In commands or code: api.together.ai; the agent is likely to contact it when it follows the instructions. As links in the text: docs.together.ai. This is read from the text; nothing was executed.

Is Together Hello World 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 Hello World use?

Together Hello World 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 Hello World use?

About 961 tokens (SKILL.md is roughly 3.8k 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 Hello World?

Skills that share tags, products or a category with Together Hello World: Dingo Verify (MigoXLab/dingo, 757 stars), Agnes Free Text (kangarooking/agnes-free-model-skills, 199 stars), Openai Docs (theowenyoung/home, 115 stars) and AI (butterbase-ai/butterbase-skills, 534 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Together Hello World?

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.