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slfg

Full autonomous research workflow using swarm mode for parallel execution

Published by brycewang-stanford ↗brycewang-stanford/Auto-Empirical-Research-Skills

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slfg

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Use slfg to research and implement [research task or methodological improvement], completing its documented workflow and returning the required brainstorm, plan, work, review, and documentation summary.

Required inputs

  • [research task or methodological improvement]

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SKILL.md

name: slfgdescription: Full autonomous research workflow using swarm mode for parallel executionargument-hint: "[research task, estimation problem, or methodological improvement]"disable-model-invocation: true

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.