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Agent skill

Together Core Workflow B

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

Run Together AI asynchronous batch inference from validated JSONL through upload, job polling, output/error download, and custom-id reconciliation.

MITAuto-check passedBusiness, Finance & HR

Install Together Core Workflow B

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill together-core-workflow-b -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace together-core-workflow-b --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-core-workflow-b .claude/skills/together-core-workflow-b && 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-core-workflow-b
GitHub stars
2.8k
Token cost
~1k tokens
SKILL.md length
403 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Run Together AI asynchronous batch inference from validated JSONL through upload, job polling, output/error download, and custom-id reconciliation.

  • Works in 6 steps: Confirm requests are independent and the… → Validate JSONL syntax, endpoint body… → Upload the file with batch purpose and… → …
  • Bulk work can trade latency for lower cost
  • SKILL.md covers Overview, Prerequisites, Tool Discipline and Current Contract, plus 7 more sections
  • Needs TOGETHER_API_KEY

What it does

Together Core Workflow B is an agent skill from jeremylongshore/tons-of-skills-marketplace. Run Together AI asynchronous batch inference from validated JSONL through upload, job polling, output/error download, and custom-id reconciliation. Use when bulk work can trade latency for lower cost. Trigger with "Together batch inference", "bulk Together requests", or "Together Batch API".

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; job submission requires network access, a project key, and funded Together AI usage

It sits in Business, Finance & HR, covering Accounting and bookkeeping and Async programming. 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

  • Bulk work can trade latency for lower cost
  • With Together batch inference
  • Bulk Together requests
  • Together Batch API

Example prompts

  • “Together batch inference”
  • “bulk Together requests”
  • “Together Batch API”
  • “/together-core-workflow-b”

Requirements

  • A credential in TOGETHER_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code; job submission requires network access, a project 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 requests are independent and the chosen model is currently batch eligible.
  2. Validate JSONL syntax, endpoint body schema, unique IDs, request count, and token bounds locally.
  3. Upload the file with batch purpose and record its hash and returned file ID.
  4. Create the job with the uploaded ID and exact API endpoint; persist the returned batch ID.
  5. Poll status with bounded backoff until terminal, without assuming the usual completion time.
  6. Download output and error files, reconcile all IDs, verify counts, and apply retention 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; job submission requires network access, a project key, and funded Together AI usage

    From compatibility in the SKILL.md frontmatter.

Context cost

Together Core Workflow B loads about 1k tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 403 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
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.8k

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). 403 words, ~1,014 tokens.

Download SKILL.mdSave it as .claude/skills/together-core-workflow-b/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
together-core-workflow-b
description
Run Together AI asynchronous batch inference from validated JSONL through upload, job polling, output/error download, and custom-id reconciliation. Use when bulk work can trade latency for lower cost. Trigger with "Together batch inference", "bulk Together requests", or "Together Batch API".
allowed-tools
Read, Glob, Grep, WebFetch, Write, Edit
compatibility
Designed for Claude Code; job submission requires network access, a project key, and funded Together AI usage
argument-hint
[input-jsonl] [endpoint] [output-directory]
version
1.9.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
saas, together-ai, batch-inference
model
inherit
effort
high

Together AI Batch Inference

Overview

This skill converts independent offline requests into a recoverable Batch API job and reconciles every success and failure without relying on output order.

Prerequisites

  • Independent request records suitable for asynchronous processing
  • A currently batch-eligible model and supported endpoint
  • Stable unique custom_id values and an approved output location
  • A request/token budget, retention policy, and job owner

Tool Discipline

Use Read, Glob, and Grep to inspect input generation, schemas, and reconciliation code. Use WebFetch for current batch eligibility and SDK response shapes. Use Write or Edit only for approved JSONL, manifests, or reconciliation logic; avoid placing sensitive prompts in diagnostic output.

Current Contract

  • Each JSONL line contains a unique custom_id and a request body.
  • Upload with purpose="batch-api"; create with client.batches.create() and the target endpoint.
  • Results can arrive in arbitrary order. Join by custom_id.
  • A COMPLETED batch can still have per-request failures in error_file_id; inspect both files.

Authentication

File and batch APIs use the project-scoped TOGETHER_API_KEY as a Bearer credential. Keep remote file IDs and batch IDs as operational references, but redact the credential and sensitive request bodies.

Instructions

  1. Confirm requests are independent and the chosen model is currently batch eligible.
  2. Validate JSONL syntax, endpoint body schema, unique IDs, request count, and token bounds locally.
  3. Upload the file with batch purpose and record its hash and returned file ID.
  4. Create the job with the uploaded ID and exact API endpoint; persist the returned batch ID.
  5. Poll status with bounded backoff until terminal, without assuming the usual completion time.
  6. Download output and error files, reconcile all IDs, verify counts, and apply retention cleanup.
Show full SKILL.md (133 more words)Show less

Approval Boundaries

Do not upload regulated or customer data without approval. Do not resubmit an ambiguous job: first reconcile the prior batch ID to avoid duplicate spend.

Output

Return input hash/count, endpoint, model, file and batch references, terminal state, success/error counts, reconciliation result, cost evidence, and cleanup disposition.

Error Handling

ConditionResponse
JSONL validation failsStop before upload and report offending line numbers.
Model is not batch eligibleChoose another model explicitly or use synchronous inference.
Polling deadline expiresPreserve the batch ID and hand off; do not create a duplicate.
IDs do not reconcileQuarantine outputs and identify missing, duplicate, and unknown IDs.

Examples

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

text
input=10000; uploaded=10000; terminal=COMPLETED; success=9974; error=26; reconciled=10000

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-core-workflow-b of jeremylongshore/tons-of-skills-marketplace.

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

Open the folder on GitHubat commit cfae287

Compare with similar skills

Together Core Workflow B 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 Core Workflow B compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Together Core Workflow B this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1kAutomated safety check: PassMIT
Sync Upstreamnyaruka/phonenumbers1.6k—~2.8kAutomated safety check: PassMIT
Radiology Tablehuang-sir1/radiology-skills1.9k—~1.3kAutomated safety check: PassCustom licence
ERPClaw ERP Controlleravansaber/erpclaw116—~18kAutomated safety check: PassGPL-3.0
Odoo Agency Fleet Reviewerpipe-org/mcp-odoo421—~699Automated safety check: PassMIT
Beancount Closebex-co/beancount-io297—~1.4kAutomated safety check: PassMIT

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Works with

Categories

Questions about Together Core Workflow B

What does Together Core Workflow B do?

Run Together AI asynchronous batch inference from validated JSONL through upload, job polling, output/error download, and custom-id reconciliation. Together Core Workflow B is an agent skill from jeremylongshore/tons-of-skills-marketplace. Run Together AI asynchronous batch inference from validated JSONL through upload, job polling, output/error download, and custom-id reconciliation.

When should I use Together Core Workflow B?

Together Core Workflow B fits situations like: bulk work can trade latency for lower cost; with Together batch inference; bulk Together requests; together Batch API.

How do I install Together Core Workflow B in Claude Code?

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

How do I install Together Core Workflow B in Codex?

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

Can I use Together Core Workflow B 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-core-workflow-b -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-core-workflow-b, .gemini/skills/together-core-workflow-b, .github/skills/together-core-workflow-b and .opencode/skills/together-core-workflow-b in your project.

What does Together Core Workflow B need to run?

Going by SKILL.md and its folder, Together Core Workflow B 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; job submission requires network access, a project key, and funded Together AI usage.

Does Together Core Workflow B 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 Core Workflow B 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 Core Workflow B use?

Together Core Workflow B 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 Core Workflow B use?

About 1k tokens (SKILL.md is roughly 4.1k 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 Core Workflow B?

Skills that share tags, products or a category with Together Core Workflow B: Sync Upstream (nyaruka/phonenumbers, 1.6k stars), Radiology Table (huang-sir1/radiology-skills, 1.9k stars), ERPClaw ERP Controller (avansaber/erpclaw, 116 stars) and Odoo Agency Fleet Review (erpipe-org/mcp-odoo, 421 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Together Core Workflow B?

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.