Agent skill

Datagen Standard Launch

by open-thoughts in open-thoughts/OpenThoughts-Agent

Launch NON-AGENTIC (standard) data generation — plain vLLM/API completion generation with NO Harbor agent loop or Daytona sandboxes.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Datagen Standard Launch

skills CLI

$ npx skills add open-thoughts/OpenThoughts-Agent --skill datagen-standard-launch -a claude-code

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

GitHub CLI

$ gh skill install open-thoughts/OpenThoughts-Agent datagen-standard-launch --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/open-thoughts/OpenThoughts-Agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/datagen-standard-launch .claude/skills/datagen-standard-launch && 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/

Paste into Claude Code

Install the "datagen-standard-launch" agent skill from https://github.com/open-thoughts/OpenThoughts-Agent/tree/main/.agents/skills/datagen-standard-launch into .claude/skills/datagen-standard-launch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datagen-standard-launch", 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

$skill-installer install https://github.com/open-thoughts/OpenThoughts-Agent/tree/main/.agents/skills/datagen-standard-launch

Type 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.

skills CLI

$ npx skills add open-thoughts/OpenThoughts-Agent --skill datagen-standard-launch -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install open-thoughts/OpenThoughts-Agent datagen-standard-launch --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/open-thoughts/OpenThoughts-Agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/datagen-standard-launch .agents/skills/datagen-standard-launch && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "datagen-standard-launch" agent skill from https://github.com/open-thoughts/OpenThoughts-Agent/tree/main/.agents/skills/datagen-standard-launch into .agents/skills/datagen-standard-launch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datagen-standard-launch", 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.

skills CLI

$ npx skills add open-thoughts/OpenThoughts-Agent --skill datagen-standard-launch -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install open-thoughts/OpenThoughts-Agent datagen-standard-launch --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/open-thoughts/OpenThoughts-Agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/datagen-standard-launch .cursor/skills/datagen-standard-launch && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "datagen-standard-launch" agent skill from https://github.com/open-thoughts/OpenThoughts-Agent/tree/main/.agents/skills/datagen-standard-launch into .cursor/skills/datagen-standard-launch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datagen-standard-launch", 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

$ gemini skills install https://github.com/open-thoughts/OpenThoughts-Agent.git --path .agents/skills/datagen-standard-launch

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add open-thoughts/OpenThoughts-Agent --skill datagen-standard-launch -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install open-thoughts/OpenThoughts-Agent datagen-standard-launch --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/open-thoughts/OpenThoughts-Agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/datagen-standard-launch .gemini/skills/datagen-standard-launch && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "datagen-standard-launch" agent skill from https://github.com/open-thoughts/OpenThoughts-Agent/tree/main/.agents/skills/datagen-standard-launch into .gemini/skills/datagen-standard-launch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datagen-standard-launch", 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.

GitHub CLI

$ gh skill install open-thoughts/OpenThoughts-Agent datagen-standard-launch

Installs 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).

skills CLI

$ npx skills add open-thoughts/OpenThoughts-Agent --skill datagen-standard-launch -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/open-thoughts/OpenThoughts-Agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/datagen-standard-launch .github/skills/datagen-standard-launch && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "datagen-standard-launch" agent skill from https://github.com/open-thoughts/OpenThoughts-Agent/tree/main/.agents/skills/datagen-standard-launch into .github/skills/datagen-standard-launch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datagen-standard-launch", 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.

skills CLI

$ npx skills add open-thoughts/OpenThoughts-Agent --skill datagen-standard-launch -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install open-thoughts/OpenThoughts-Agent datagen-standard-launch --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/open-thoughts/OpenThoughts-Agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/datagen-standard-launch .opencode/skills/datagen-standard-launch && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "datagen-standard-launch" agent skill from https://github.com/open-thoughts/OpenThoughts-Agent/tree/main/.agents/skills/datagen-standard-launch into .opencode/skills/datagen-standard-launch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datagen-standard-launch", 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: datagen-standard-launch
GitHub stars: 301
Token cost: ~947 tokens
SKILL.md length: 209 words
Files: 1
Skills in repo: 44
Repo updated: Sep 28, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Launch NON-AGENTIC (standard) data generation — plain vLLM/API completion generation with NO Harbor agent loop or Daytona sandboxes.

Bulk completion/synthetic-data generation
SKILL.md covers Path 1 — Curator sharded…, Path 2 — declarative /… and Cleanup / verification
Calls python and conda
Tasks that involve LLM inference and serving

What it does

Datagen Standard Launch is an agent skill from open-thoughts/OpenThoughts-Agent. Launch NON-AGENTIC (standard) data generation — plain vLLM/API completion generation with NO Harbor agent loop or Daytona sandboxes. Two paths: (1) Curator sharded datagen — the multi-node data-parallel runcuratordatagensharded.sbatch (one vLLM server per node, disjoint dataset slices, auto-resume, manual afterany restart chain, curator conda env, --account=reformo); (2) the declarative generate.py / class-based generateabstract.py generators under data/ (data/generation BaseDataGenerator + InferenceEngine for…

Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering LLM inference and serving, Test data and fixtures and Autonomous loops. It works with vLLM, OpenAI and MiniMax. The repository describes itself as: Data recipes and robust infrastructure for training AI agents. The licence is Apache-2.0.

When your agent uses it

Bulk completion/synthetic-data generation
Tasks that involve LLM inference and serving
Tasks that involve Test data and fixtures

Example prompts

“/datagen-standard-launch”

Requirements

Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 3bd1917. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- python
- conda
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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.

Context cost

Datagen Standard Launch loads about 947 tokens when it runs. Until then it costs about 188 tokens; SKILL.md has 209 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~188
When it runs · the whole SKILL.md, loaded when a task matches: ~947

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 open-thoughts/OpenThoughts-Agent at commit 3bd1917, republished under its Apache-2.0 licence (© open-thoughts). 209 words, ~947 tokens.

Download SKILL.mdSave it as .claude/skills/datagen-standard-launch/SKILL.md (or your agent's skills folder).

name: datagen-standard-launch
description: Launch NON-AGENTIC (standard) data generation — plain vLLM/API completion generation with NO Harbor agent loop or Daytona sandboxes. Two paths: (1) Curator sharded datagen — the multi-node data-parallel run_curator_datagen_sharded.sbatch (one vLLM server per node, disjoint dataset slices, auto-resume, manual afterany restart chain, `curator` conda env, --account=reformo); (2) the declarative `generate.py` / class-based `generate_abstract.py` generators under data/ (data/generation BaseDataGenerator + InferenceEngine for OpenAI/Anthropic/vLLM). Use for bulk completion/synthetic-data generation. The AGENTIC trace-generation path (Harbor + Daytona rollouts, MiniMax/GLM trace sets) is the SEPARATE `datagen-launch` skill.

datagen-standard-launch

Generate completions or synthetic data directly from a model, without Harbor or Daytona. For agentic trace-gen, use datagen-launch.

Path 1 — Curator sharded datagen (multi-node DP) — the primary path

data/sbatches/run_curator_datagen_sharded.sbatch runs one vLLM server per node over disjoint input slices and merges the results. Default: 32 nodes (#SBATCH --nodes=32, 4 GPUs/node), --account=reformo on Jupiter, and the curator environment (not otagent).

Auto-resume: stable shard output paths data/sbatches/curator_runs/<model>__<dataset>__<N>shards/shard_<i>/checkpoint_*.parquet let an afterany restart resume after a SLURM timeout.

Pre-req (login node, has internet): cache the input dataset first —

bash

conda activate curator
python -c "from datasets import load_dataset; ds=load_dataset('<dataset>',split='train'); print(len(ds))"

Launch — positional args <model> <input_dataset> <output_repo> [limit] [save_every]:

bash

# Simple (no restarts):
sbatch data/sbatches/run_curator_datagen_sharded.sbatch <model> <input_dataset> <output_repo> [limit] [save_every]

# With restart chain (recommended for long datasets) — build the afterany chain MANUALLY:
FIRST=$(sbatch data/sbatches/run_curator_datagen_sharded.sbatch \
  <model> <input_dataset> <output_repo> [limit] [save_every] | awk '{print $4}')
PREV=$FIRST; for i in $(seq 1 6); do
  PREV=$(sbatch --dependency=afterany:$PREV \
    data/sbatches/run_curator_datagen_sharded.sbatch \
    <model> <input_dataset> <output_repo> [limit] [save_every] | awk '{print $4}')
done

MAX_RESTARTS is not implemented; build the --dependency=afterany: chain by hand.
save_every: pass 700, not the default 200 (the fifth positional arg).
limit (4th arg) caps rows for a smoke run; omit for the full set.

Path 2 — declarative / class-based generator scripts (`data/`)

data/ has named pipeline directories in two styles:

Declarative generate.py — self-contained scripts for local / one-off runs:
bash
```
python data/<dataset>/generate.py [--flags]
```

Class-based generate_abstract.py — subclass BaseDataGenerator for HPC runs with launcher-managed vLLM endpoints, submitted through the unified launcher:

bash

python -m hpc.launch --job_type datagen \
  --datagen_script data/<dataset>/generate_abstract.py \
  --datagen_target_repo <org/repo> \
  --datagen_extra_args "--stage both --limit 2000"

Core modules in data/generation/: base.py (BaseDataGenerator), schemas.py (GenerationRequest/GenerationResult), engines.py (InferenceEngine for OpenAI / Anthropic / vLLM).

Cleanup / verification

Standard datagen pushes merged parquet shards to <output_repo>. Verify the row count and that the repo self-populated; no Daytona/trace-export step applies. Cluster details: .agents/ops/jupiter/; launcher: .agents/projects/ot-agent/ot-agent.md.

Files

Just SKILL.md in .agents/skills/datagen-standard-launch of open-thoughts/OpenThoughts-Agent.

Open the folder on GitHubat commit 3bd1917

Compare with similar skills

Datagen Standard Launch 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.

Datagen Standard Launch compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Datagen Standard Launch this skillopen-thoughts/OpenThoughts-Agent	301	—	~947	Automated safety check: Pass	Apache-2.0	10 days ago
Aider DelegateamElnagdy/delegate-skills	2.3k	3 repos	~3k	Automated safety check: Pass	MIT	yesterday
Model Serving MinefieldBlackwellboy/model-serving-minefield	135	—	~2.1k	Automated safety check: Pass	MIT	today
vLLM Model ServingOrchestra-Research/AI-Research-SKILLs	13k	6 repos	~2.3k	Automated safety check: Pass	MIT	3 mo ago
Tanstack AIsecondsky/claude-skills	227	1 repos	~3.6k	Automated safety check: Notes	MIT	10 days ago
Vllm Bench Random Syntheticvllm-project/vllm-skills	103	—	~1.5k	Automated safety check: Pass	Apache-2.0	6 mo ago

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Works with

Questions about Datagen Standard Launch

What does Datagen Standard Launch do?

Launch NON-AGENTIC (standard) data generation — plain vLLM/API completion generation with NO Harbor agent loop or Daytona sandboxes. Datagen Standard Launch is an agent skill from open-thoughts/OpenThoughts-Agent. Launch NON-AGENTIC (standard) data generation — plain vLLM/API completion generation with NO Harbor agent loop or Daytona sandboxes.

When should I use Datagen Standard Launch?

Datagen Standard Launch fits situations like: bulk completion/synthetic-data generation; tasks that involve LLM inference and serving; tasks that involve Test data and fixtures.

How do I install Datagen Standard Launch in Claude Code?

Run `npx skills add open-thoughts/OpenThoughts-Agent --skill datagen-standard-launch -a claude-code`. Or copy the skill folder (.agents/skills/datagen-standard-launch in open-thoughts/OpenThoughts-Agent) into .claude/skills/datagen-standard-launch in your project. Claude Code loads it when a task matches its description.

How do I install Datagen Standard Launch in Codex?

Run `npx skills add open-thoughts/OpenThoughts-Agent --skill datagen-standard-launch -a codex`. Or copy the skill folder (.agents/skills/datagen-standard-launch in open-thoughts/OpenThoughts-Agent) into .agents/skills/datagen-standard-launch in your project. Codex loads it when a task matches its description.

Can I use Datagen Standard Launch 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 open-thoughts/OpenThoughts-Agent --skill datagen-standard-launch -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/datagen-standard-launch, .gemini/skills/datagen-standard-launch, .github/skills/datagen-standard-launch and .opencode/skills/datagen-standard-launch in your project.

What does Datagen Standard Launch need to run?

Going by SKILL.md and its folder, Datagen Standard Launch needs the command-line tools its instructions call (python and conda). Our summary lists: Python 3.

Does Datagen Standard Launch access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Datagen Standard Launch 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 Datagen Standard Launch use?

Datagen Standard Launch is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Datagen Standard Launch use?

About 947 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.

What are the alternatives to Datagen Standard Launch?

Skills that share tags, products or a category with Datagen Standard Launch: Aider Delegate (amElnagdy/delegate-skills, 2.3k stars), Model Serving Minefield (Blackwellboy/model-serving-minefield, 135 stars), vLLM Model Serving (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Tanstack AI (secondsky/claude-skills, 227 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Datagen Standard Launch?

open-thoughts (a GitHub organization) maintains it in open-thoughts/OpenThoughts-Agent, which has 301 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on September 28, 2026.

Source: open-thoughts/OpenThoughts-Agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Datagen Standard Launch

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

datagen-standard-launch

Path 1 — Curator sharded datagen (multi-node DP) — the primary path

Path 2 — declarative / class-based generator scripts (data/)

Cleanup / verification

Files

Compare with similar skills

Similar skills

More from open-thoughts/OpenThoughts-Agent

Related

Questions about Datagen Standard Launch

Path 2 — declarative / class-based generator scripts (`data/`)