القائمة
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.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
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| 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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