Full autonomous research workflow using swarm mode for parallel execution
Scanned 9/3/2026
Install to Claude Code
npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill slfg --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: slfg
description: Full autonomous research workflow using swarm mode for parallel execution
argument-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):
4. `/workflows:review` — spawn as background Task agent
5. `/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.
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