STORM
A Claude Code plugin that ports Stanford STORM (Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking) into a Claude-native, zero-dependency skill pipeline.
Given a topic, STORM produces a Wikipedia-style long-form article with inline [n] citations and a trailing References list — grounded in web search, not parametric memory.
Pipeline (two stages, four phases)
research -> outline -> write -> polish
(persona (draft + (per-section, (summary +
discovery) refine) cited) dedup)
Each phase is independently runnable and resumable — completed phases are loaded from the artifact directory, mirroring STORM's stage-gated runner.
Commands
| Command | Purpose |
|---|---|
/storm:generate | End-to-end orchestration (runs all four phases, skipping completed ones) |
/storm:research | Phase 1 — persona discovery + simulated Q&A → information table |
/storm:outline | Phase 2 — draft outline from parametric knowledge, refine from research |
/storm:write | Phase 3 — parallel per-section writing with inline citations |
/storm:polish | Phase 4 — summary section + duplicate removal |
Design (mirrors upstream STORM)
- Multi-perspective research: one Task subagent per persona runs the simulated Q&A concurrently.
- Retrieval: prefers connected MCP search tools (e.g. exa-mcp-server), falls back to built-in WebSearch + WebFetch.
- Citation hygiene: inline
[1][2]+ trailingReferencessection; source snippets are citation-stripped before reuse. - Stage gating: each phase writes to a predictable path under the output dir; re-invocation skips completed phases.
- Cost/quality split: cheap persona/conversation turns vs. stronger outline/section/polish work (delegated to the strongest available model).
Artifacts
By default, artifacts live in a temporary directory that is discarded at session end. Pass --save (or --output-dir <path>) to persist to docs/storm/<slug>/:
<output_dir>/<slug>/
research/ # personas + simulated conversations + sources.json
outline.md
article.md
article-polished.md
run-config.json
License
MIT. Based on the STORM research framework by Stanford Oval (NAACL'24 / EMNLP'24).