Full autonomous research workflow using swarm mode for parallel execution

Custom licenceAuto-check passed

Install Slfg

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill slfg -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills slfg --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/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/11-James-Traina-compound-science/skills/slfg .claude/skills/slfg && 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
slfg
GitHub stars
4.6k
Token cost
~399 tokens
SKILL.md length
161 words
Files
2 (incl. references)
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Full autonomous research workflow using swarm mode for parallel execution

  • Works in 3 steps: /workflows:brainstorm $ARGUMENTS → /workflows:plan → /workflows:work — Use swarm mode: Break…
  • SKILL.md covers Sequential Phase, Parallel Phase and Output
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Slfg is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Full autonomous research workflow using swarm mode for parallel execution

Its SKILL.md is about 400 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/orchestration-patterns.md`).

The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

Example prompts

  • “/slfg”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. /workflows:brainstorm $ARGUMENTS
  2. /workflows:plan
  3. /workflows:work — Use swarm mode: Break the plan into independent tasks and launch parallel subagents via Task tool to build them…

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. 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

    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

    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

Slfg loads about 399 tokens when it runs, and up to ~4k if it reads all its reference files. Until then it costs about 20 tokens; SKILL.md has 161 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~20
When it runs · the whole SKILL.md, loaded when a task matches
~399
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 161 words (~399 tokens).

“Swarm-enabled LFG. Run these steps in order, parallelizing where indicated. Do not stop between steps — complete every step through to the end.”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
slfg
argument-hint
[research task, estimation problem, or methodological improvement]
disable-model-invocation
true

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (references) in skills/11-James-Traina-compound-science/skills/slfg of brycewang-stanford/Auto-Empirical-Research-Skills.

  • SKILL.md
  • references/orchestration-patterns.md

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Slfg 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.

Slfg compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Slfg this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~399Automated safety check: PassCustom licence
Parallel Worker Swarmcursor/plugins11k7 repos~738Automated safety check: PassNone
Agent Swarmruvnet/ruflo74k2 repos~891Automated safety check: PassMIT
Parallels Discord Roundtripopenclaw/openclaw392k—~788Automated safety check: PassMIT
Openclaw Parallels Smokeopenclaw/openclaw392k—~8.4kAutomated safety check: NotesMIT
Swarm Initruvnet/ruflo74k—~319Automated safety check: PassMIT

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Questions about Slfg

What does Slfg do?

Full autonomous research workflow using swarm mode for parallel execution. Slfg is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

How do I install Slfg in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill slfg -a claude-code`. Or copy the skill folder (skills/11-James-Traina-compound-science/skills/slfg in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/slfg in your project. Claude Code loads it when a task matches its description.

How do I install Slfg in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill slfg -a codex`. Or copy the skill folder (skills/11-James-Traina-compound-science/skills/slfg in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/slfg in your project. Codex loads it when a task matches its description.

Can I use Slfg 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill slfg -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/slfg, .gemini/skills/slfg, .github/skills/slfg and .opencode/skills/slfg in your project.

What does Slfg need to run?

SKILL.md names no scripts, command-line tools or credentials: Slfg is instructions for the agent only.

Does Slfg 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 Slfg 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 Slfg use?

Slfg has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Slfg use?

About 399 tokens (SKILL.md is roughly 1.6k 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 3.6k tokens, read only when the agent opens those files.

What are the alternatives to Slfg?

Skills that share tags, products or a category with Slfg: Parallel Worker Swarm (cursor/plugins, 11k stars), Agent Swarm (ruvnet/ruflo, 74k stars), Parallels Discord Roundtrip (openclaw/openclaw, 392k stars) and Openclaw Parallels Smoke (openclaw/openclaw, 392k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Slfg?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.