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Slfg

Skill brycewang-stanford/Auto-Empirical-Research-Skills/skills/11-James-Traina-compound-science/skills/slfg

Full autonomous research workflow using swarm mode for parallel executionFrom its SKILL.md

Install
npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill slfg

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

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SKILL.md

1.6 KB, 319 tokens by cl100k_base, as published. Nobody here has run it

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

Sequential Phase

  1. /workflows:brainstorm $ARGUMENTS Gate: must produce a file in docs/brainstorms/ before proceeding.

  2. /workflows:plan Gate: must produce a file in docs/plans/ before proceeding.

  3. /workflows:work — Use swarm mode: Break the plan into independent tasks and launch parallel subagents via Task tool to build them concurrently. Each subagent handles one task from the plan. See references/orchestration-patterns.md for parallel dispatch patterns. Gate: must produce at least one code change (committed or staged) before proceeding. If work fails with no changes, stop and report the failure.

Parallel Phase

After work completes, launch steps 4 and 5 as parallel swarm agents (both only need completed code to operate):

  1. /workflows:review — spawn as background Task agent
  2. /workflows:compound — spawn as background Task agent

Wait for both to complete before finishing.

Output

When all steps are done, output:

Research workflow complete.

Brainstorm: [brainstorm file path]
Plan: [plan file path]
Work: [summary of implementation]
Review: [summary of findings]
Documentation: [docs/solutions/ path if created]

Start with step 1 now.

What ships with it: 1 file

14.1 KB alongside SKILL.md

references/

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