Trigger.dev Configuration
papermark/papermark
Configures Trigger.dev projects through trigger.config.ts, with build extensions for Prisma, Playwright, Puppeteer, FFmpeg, Python and system packages.
SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention.
Install Experiment Queue
$ npx skills add AI4Scientist/nano-scientist --skill experiment-queue -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AI4Scientist/nano-scientist experiment-queue --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/experiment-queue .claude/skills/experiment-queue && rm -rf skills-srcUse ~/.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/
Install the "experiment-queue" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/experiment-queue into .claude/skills/experiment-queue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-queue", 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 install https://github.com/AI4Scientist/nano-scientist/tree/main/skills/experiment-queueType 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.
$ npx skills add AI4Scientist/nano-scientist --skill experiment-queue -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AI4Scientist/nano-scientist experiment-queue --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/experiment-queue .agents/skills/experiment-queue && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "experiment-queue" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/experiment-queue into .agents/skills/experiment-queue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-queue", 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.
$ npx skills add AI4Scientist/nano-scientist --skill experiment-queue -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AI4Scientist/nano-scientist experiment-queue --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/experiment-queue .cursor/skills/experiment-queue && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "experiment-queue" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/experiment-queue into .cursor/skills/experiment-queue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-queue", 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 https://github.com/AI4Scientist/nano-scientist.git --path skills/experiment-queue--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add AI4Scientist/nano-scientist --skill experiment-queue -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AI4Scientist/nano-scientist experiment-queue --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/experiment-queue .gemini/skills/experiment-queue && rm -rf skills-srcUse ~/.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/
Install the "experiment-queue" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/experiment-queue into .gemini/skills/experiment-queue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-queue", 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.
$ gh skill install AI4Scientist/nano-scientist experiment-queueInstalls 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).
$ npx skills add AI4Scientist/nano-scientist --skill experiment-queue -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/experiment-queue .github/skills/experiment-queue && rm -rf skills-srcUse ~/.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/
Install the "experiment-queue" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/experiment-queue into .github/skills/experiment-queue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-queue", 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.
$ npx skills add AI4Scientist/nano-scientist --skill experiment-queue -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AI4Scientist/nano-scientist experiment-queue --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/experiment-queue .opencode/skills/experiment-queue && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "experiment-queue" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/experiment-queue into .opencode/skills/experiment-queue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-queue", 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
experiment-queue- GitHub stars
- 128
- Used in
- 3 other repos
- Token cost
- ~3.9k tokens
- SKILL.md length
- 1,371 words
- Files
- 1
- Skills in repo
- 76
- Repo updated
- First seen
- Licence
- None found
At a glance
SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention.
- Works in 5 steps: Parse Manifest / Build from Grid → Pre-flight → Launch Scheduler → …
- User says batch experiments
- SKILL.md covers When to Use This Skill, Why This Exists, Core Concepts and Workflow, plus 12 more sections
- Calls ssh, scp and jq
What it does
Experiment Queue is an agent skill from AI4Scientist/nano-scientist. SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says "batch experiments", "队列实验", "run grid", "multi-seed sweep", "auto-chain experiments", or when /run-experiment is insufficient for 10+ jobs that need orchestration.
Its SKILL.md is about 3.9k 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 Backend & APIs, covering Background jobs. It works with Python. The repository describes itself as: An autonomous research agent that turns a topic into a peer-reviewed technical report.
When your agent uses it
- User says batch experiments
- Multi-seed sweep
- Auto-chain experiments
- /run-experiment is insufficient for 10+ jobs that need orchestration
Example prompts
- “batch experiments”
- “run grid”
- “multi-seed sweep”
- “/experiment-queue”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Bash(*), Read, Grep, Glob, Edit, Write, Agent, Skill(run-experiment), Skill(monitor-experiment)
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- Parse Manifest / Build from Grid
- Pre-flight
- Launch Scheduler
- Monitoring
- Post-completion
What it can do on your machine
Read from SKILL.md and the folder at commit 7132192. 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:
Bash(*)ReadGrepGlobEditWriteAgentSkill(run-experiment)Skill(monitor-experiment)
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
sshscpjq
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use ssh and scp, which can reach the network depending on how they are called.
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
Experiment Queue loads about 3.9k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 1,371 words of instructions outside code blocks.
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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash(*), Read, Grep, Glob, Edit, Write, Agent, Skill(run-experiment), Skill(monitor-experiment)
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,371 words (~3,936 tokens).
“Orchestrate large batches of ML experiments on SSH remote GPU servers with proper state tracking, OOM retry, stale cleanup, and wave transitions.”
- name
- experiment-queue
- allowed-tools
- Bash(*), Read, Grep, Glob, Edit, Write, Agent, Skill(run-experiment), Skill(monitor-experiment)
- argument-hint
- manifest-or-grid-spec
Files
Just SKILL.md in skills/experiment-queue of AI4Scientist/nano-scientist.
Open the folder on GitHubat commit 7132192
Used in 3 other repositories
We found 7 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in AI4Scientist/nano-scientist, which our catalogue first saw on October 7, 2026.
- majiayu000/claude-skill-registryskills/ai-ml/experiment-queueskills/ai-ml/experiment-queue-wanshuiyin-auto-claude-code-res
- wanshuiyin/Auto-claude-code-research-in-sleepskills/experiment-queueskills/skills-codex/experiment-queue
- Tai609/NebulaMatruntime/aris/upstream/skills/experiment-queueruntime/aris/upstream/skills/skills-codex/experiment-queue
Compare with similar skills
Experiment Queue 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Experiment Queue this skillAI4Scientist/nano-scientist | 128 | 3 repos | ~3.9k | Automated safety check: Notes | None | |
| Trigger.dev Configurationpapermark/papermark | 9.2k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| K8e Sandboxxiaods/k8e | 499 | — | ~6k | Automated safety check: Pass | Apache-2.0 | |
| Temporal Developertemporalio/skill-temporal-developer | 230 | — | ~2.5k | Automated safety check: Pass | MIT | |
| FbaZhongye1/KnowAgenticRAG | 143 | — | ~758 | Automated safety check: Pass | None | |
| Dv Adminmicrosoft/Dataverse-skills | 241 | — | ~5.1k | Automated safety check: Pass | MIT |
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Related
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Categories
Questions about Experiment Queue
What does Experiment Queue do?
SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Experiment Queue is an agent skill from AI4Scientist/nano-scientist. SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention.
When should I use Experiment Queue?
Experiment Queue fits situations like: user says batch experiments; multi-seed sweep; auto-chain experiments; /run-experiment is insufficient for 10+ jobs that need orchestration.
How do I install Experiment Queue in Claude Code?
Run `npx skills add AI4Scientist/nano-scientist --skill experiment-queue -a claude-code`. Or copy the skill folder (skills/experiment-queue in AI4Scientist/nano-scientist) into .claude/skills/experiment-queue in your project. Claude Code loads it when a task matches its description.
How do I install Experiment Queue in Codex?
Run `npx skills add AI4Scientist/nano-scientist --skill experiment-queue -a codex`. Or copy the skill folder (skills/experiment-queue in AI4Scientist/nano-scientist) into .agents/skills/experiment-queue in your project. Codex loads it when a task matches its description.
Can I use Experiment Queue 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 AI4Scientist/nano-scientist --skill experiment-queue -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/experiment-queue, .gemini/skills/experiment-queue, .github/skills/experiment-queue and .opencode/skills/experiment-queue in your project.
What does Experiment Queue need to run?
Going by SKILL.md and its folder, Experiment Queue needs the command-line tools its instructions call (ssh, scp and jq). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash(*), Read, Grep, Glob, Edit, Write, Agent, Skill(run-experiment), Skill(monitor-experiment).
Does Experiment Queue access the network?
SKILL.md contains no URLs. Its commands use ssh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Experiment Queue safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Experiment Queue use?
No licence was found for Experiment Queue or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Experiment Queue use?
About 3.9k tokens (SKILL.md is roughly 16k 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 Experiment Queue?
Skills that share tags, products or a category with Experiment Queue: Trigger.dev Configuration (papermark/papermark, 9.2k stars), K8e Sandbox (xiaods/k8e, 499 stars), Temporal Developer (temporalio/skill-temporal-developer, 230 stars) and Fba (Zhongye1/KnowAgenticRAG, 143 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Experiment Queue?
AI4Scientist (a GitHub organization) maintains it in AI4Scientist/nano-scientist, which has 128 GitHub stars. The repository holds 76 skills in this directory. The repository was last updated on June 3, 2026.
Source: AI4Scientist/nano-scientist on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.