Parallel Worker Swarm
cursor/plugins
Launches many parallel cloud workers on slices of a task or on the same brief, waits for them all, and returns one aggregated report.
Full autonomous research workflow using swarm mode for parallel execution
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill slfg -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills slfg --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/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-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 "slfg" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/slfg into .claude/skills/slfg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slfg", 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/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/slfgType 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill slfg -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills slfg --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/11-James-Traina-compound-science/skills/slfg .agents/skills/slfg && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "slfg" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/slfg into .agents/skills/slfg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slfg", 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill slfg -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills slfg --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/11-James-Traina-compound-science/skills/slfg .cursor/skills/slfg && 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 "slfg" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/slfg into .cursor/skills/slfg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slfg", 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/brycewang-stanford/Auto-Empirical-Research-Skills.git --path skills/11-James-Traina-compound-science/skills/slfg--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 brycewang-stanford/Auto-Empirical-Research-Skills --skill slfg -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills slfg --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/11-James-Traina-compound-science/skills/slfg .gemini/skills/slfg && 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 "slfg" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/slfg into .gemini/skills/slfg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slfg", 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 brycewang-stanford/Auto-Empirical-Research-Skills slfgInstalls 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill slfg -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/11-James-Traina-compound-science/skills/slfg .github/skills/slfg && 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 "slfg" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/slfg into .github/skills/slfg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slfg", 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill slfg -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills slfg --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/11-James-Traina-compound-science/skills/slfg .opencode/skills/slfg && 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 "slfg" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/slfg into .opencode/skills/slfg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slfg", 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.
slfgFull autonomous research workflow using swarm mode for parallel execution
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…
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
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.”
SKILL.md and 1 other file (references) in skills/11-James-Traina-compound-science/skills/slfg of brycewang-stanford/Auto-Empirical-Research-Skills.
Open the folder on GitHubat commit 9fa87d8
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Slfg this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~399 | Automated safety check: Pass | Custom licence | |
| Parallel Worker Swarmcursor/plugins | 11k | 7 repos | ~738 | Automated safety check: Pass | None | |
| Agent Swarmruvnet/ruflo | 74k | 2 repos | ~891 | Automated safety check: Pass | MIT | |
| Parallels Discord Roundtripopenclaw/openclaw | 392k | — | ~788 | Automated safety check: Pass | MIT | |
| Openclaw Parallels Smokeopenclaw/openclaw | 392k | — | ~8.4k | Automated safety check: Notes | MIT | |
| Swarm Initruvnet/ruflo | 74k | — | ~319 | Automated safety check: Pass | MIT |
cursor/plugins
Launches many parallel cloud workers on slices of a task or on the same brief, waits for them all, and returns one aggregated report.
ruvnet/ruflo
Agent skill for swarm - invoke with $agent-swarm. An agent skill from ruvnet/ruflo.
openclaw/openclaw
Run macOS Parallels smoke with Discord send, host verification, host reply, and guest readback proof.
openclaw/openclaw
Prepare, snapshot, run, rerun, debug, or interpret OpenClaw Parallels guest install, onboarding, gateway smoke, and upgrade checks across macOS, Windows, and Linux.
ruvnet/ruflo
Initialize a multi-agent swarm with anti-drift configuration.
affaan-m/ECC
Speed up a task by turning it into a dependency graph of parallel lanes with a lane matrix, batched reads and checks, write surfaces isolated by file, worktree, branch, or service, and a final…
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when auditing a finished or near-finished AER, AER:Insights, or AEJ manuscript for internal consistency: headline numbers across abstract, introduction, results, and tables…
brycewang-stanford/Auto-Empirical-Research-Skills
English LaTeX academic paper assistant for existing .tex projects.
brycewang-stanford/Auto-Empirical-Research-Skills
Opinionated Bayesian modeling workflow with PyMC and ArviZ. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when the user asks to "generate daily paper", "search arXiv for EEG papers", "find EEG decoding papers", "review brain-computer interface papers", or wants to create paper…
brycewang-stanford/Auto-Empirical-Research-Skills
Deeply analyze any empirical economics PDF using the five-question framework (五问框架): research question, identification strategy, core estimand, robustness logic, and scholarly contribution.
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…
Full autonomous research workflow using swarm mode for parallel execution. Slfg is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Slfg is instructions for the agent only.
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.
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.
Slfg has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
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.
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.
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.