Resume a paused experiment. An agent skill from LeoYeAI/openclaw-master-skills.

MITAuto-check passed

Install Resume

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill resume -a claude-code

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

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills resume --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/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/autoresearch-agent/skills/resume .claude/skills/resume && 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
resume
GitHub stars
2.2k
Token cost
~500 tokens
SKILL.md length
82 words
Files
1
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Resume a paused experiment. An agent skill from LeoYeAI/openclaw-master-skills.

  • Works in 4 steps: List experiments if needed → Load full context → Report current state → …
  • SKILL.md covers Usage and What It Does
  • Calls git and python

What it does

Resume is an agent skill from LeoYeAI/openclaw-master-skills. Resume a paused experiment. Checkout the experiment branch, read results history, continue iterating.

Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

Example prompts

  • “/resume”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. List experiments if needed
  2. Load full context
  3. Report current state
  4. Ask next action

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. 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:

    • git
    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, 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

Resume loads about 500 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 82 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~27
When it runs · the whole SKILL.md, loaded when a task matches
~500

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 LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 82 words, ~500 tokens.

Download SKILL.mdSave it as .claude/skills/resume/SKILL.md (or your agent's skills folder).
name
resume
description
Resume a paused experiment. Checkout the experiment branch, read results history, continue iterating.
command
/ar:resume

/ar:resume — Resume Experiment

Resume a paused or context-limited experiment. Reads all history and continues where you left off.

Usage

/ar:resume                                  # List experiments, let user pick
/ar:resume engineering/api-speed            # Resume specific experiment

What It Does

Step 1: List experiments if needed

If no experiment specified:

bash
python {skill_path}/scripts/setup_experiment.py --list

Show status for each (active/paused/done based on results.tsv age). Let user pick.

Step 2: Load full context
bash
# Checkout the experiment branch
git checkout autoresearch/{domain}/{name}

# Read config
cat .autoresearch/{domain}/{name}/config.cfg

# Read strategy
cat .autoresearch/{domain}/{name}/program.md

# Read full results history
cat .autoresearch/{domain}/{name}/results.tsv

# Read recent git log for the branch
git log --oneline -20
Step 3: Report current state

Summarize for the user:

Resuming: engineering/api-speed
  Target: src/api/search.py
  Metric: p50_ms (lower is better)
  Experiments: 23 total — 8 kept, 12 discarded, 3 crashed
  Best: 185ms (-42% from baseline of 320ms)
  Last experiment: "added response caching" → KEEP (185ms)

  Recent patterns:
  - Caching changes: 3 kept, 1 discarded (consistently helpful)
  - Algorithm changes: 2 discarded, 1 crashed (high risk, low reward so far)
  - I/O optimization: 2 kept (promising direction)
Step 4: Ask next action
How would you like to continue?
  1. Single iteration (/ar:run)  — I'll make one change and evaluate
  2. Start a loop (/ar:loop)     — Autonomous with scheduled interval
  3. Just show me the results    — I'll review and decide

If the user picks loop, hand off to /ar:loop with the experiment pre-selected. If single, hand off to /ar:run.

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/autoresearch-agent/skills/resume of LeoYeAI/openclaw-master-skills.

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Resume 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.

Resume compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Resume this skillLeoYeAI/openclaw-master-skills2.2k—~500Automated safety check: PassMIT
Checkoutremotion-dev/remotion63k—~166Automated safety check: PassCustom licence
Resume Tailorreactive-resume/reactive-resume44k—~8.3kAutomated safety check: PassMIT
Resume Bullet Writerreactive-resume/reactive-resume44k—~8kAutomated safety check: PassMIT
Reactive Resume Builderreactive-resume/reactive-resume44k—~2kAutomated safety check: PassMIT
Resume Content Guidereactive-resume/reactive-resume44k—~11kAutomated safety check: WarnMIT

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Questions about Resume

What does Resume do?

Resume a paused experiment. An agent skill from LeoYeAI/openclaw-master-skills. Resume is an agent skill from LeoYeAI/openclaw-master-skills. Resume a paused experiment.

How do I install Resume in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill resume -a claude-code`. Or copy the skill folder (skills/autoresearch-agent/skills/resume in LeoYeAI/openclaw-master-skills) into .claude/skills/resume in your project. Claude Code loads it when a task matches its description.

How do I install Resume in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill resume -a codex`. Or copy the skill folder (skills/autoresearch-agent/skills/resume in LeoYeAI/openclaw-master-skills) into .agents/skills/resume in your project. Codex loads it when a task matches its description.

Can I use Resume 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 LeoYeAI/openclaw-master-skills --skill resume -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/resume, .gemini/skills/resume, .github/skills/resume and .opencode/skills/resume in your project.

What does Resume need to run?

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

Does Resume access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Resume 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 Resume use?

Resume is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Resume use?

About 500 tokens (SKILL.md is roughly 2k 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 Resume?

Skills that share tags, products or a category with Resume: Checkout (remotion-dev/remotion, 63k stars), Resume Tailor (reactive-resume/reactive-resume, 44k stars), Resume Bullet Writer (reactive-resume/reactive-resume, 44k stars) and Reactive Resume Builder (reactive-resume/reactive-resume, 44k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Resume?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.