Awesome-Agent-Skills-for-Empirical-Research slfg
Full autonomous research workflow using swarm mode for parallel execution
install
source · Clone the upstream repo
git clone https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/11-James-Traina-compound-science/skills/slfg" ~/.claude/skills/brycewang-stanford-awesome-agent-skills-for-empirical-research-slfg && rm -rf "$T"
manifest:
skills/11-James-Traina-compound-science/skills/slfg/SKILL.mdsource content
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
-
Gate: must produce a file in/workflows:brainstorm $ARGUMENTS
before proceeding.docs/brainstorms/ -
Gate: must produce a file in/workflows:plan
before proceeding.docs/plans/ -
— 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/workflows:work
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.references/orchestration-patterns.md
Parallel Phase
After work completes, launch steps 4 and 5 as parallel swarm agents (both only need completed code to operate):
— spawn as background Task agent/workflows:review
— spawn as background Task agent/workflows:compound
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.