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Stanford STORM — LLM research pipeline for Wikipedia-quality articles with citations. Multi-perspective research, Co-STORM collaborative mode. Python package, no native Claude Code integration.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | storm-research |
| description | Stanford STORM — LLM research pipeline for Wikipedia-quality articles with citations. Multi-perspective research, Co-STORM collaborative mode. Python package, no native Claude Code integration. |
| auto-activate | false |
Stanford's STORM (Synthesis of Topic Outlines through Retrieval and Multi-perspective question asking) — an LLM-powered research pipeline that produces Wikipedia-quality articles with citations.
Upstream: https://github.com/stanford-oval/storm
pip install knowledge-storm
STORM has native Claude support via its ClaudeModel class:
from knowledge_storm import STORMWikiRunnerArguments, STORMWikiRunner
from knowledge_storm.lm import ClaudeModel
claude_model = ClaudeModel(
model="<your-model>", # e.g. claude-sonnet-4-6
max_tokens=4096
)
runner_args = STORMWikiRunnerArguments(
output_dir="./output"
)
runner = STORMWikiRunner(runner_args, claude_model, claude_model)
runner.run(
topic="Your Research Topic",
do_research=True,
do_generate_outline=True,
do_generate_article=True,
do_polish_article=True
)
Co-STORM enables collaborative research where you and the LLM investigate together through multi-perspective questioning. Start a Co-STORM session to iteratively refine research direction.
/researcher — quick web research, single-passUse /researcher for fast lookups. Use STORM when you need a structured article with proper citations.
4-skill academic pipeline: deep research (13-agent), academic paper (LaTeX), peer review (7-agent), pipeline orchestrator (10-stage). CC BY-NC 4.0 — non-commercial use only.
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