Agent skill · Documentation

grounded-summary

Create a rich, evidence-preserving research report draft from a grounded note and its follow-up literature result. This is the main report-writing stage of the middle pipeline, not a compression memo.

Yiming Zhao438★ · 1 repos on radarProfile →
cursorMIT
Install
npx skills add gaotiexinqu/OneResearchClaw --skill grounded-summary --agent cursor

Same command for any agent — swap --agent for claude-code, codex, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 20 KB
Bundled scripts: none
Path: .cursor/skills/grounded-summary/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 438
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Grounded Summary This skill produces a **substantial, evidence-rich research report draft** from: 1. a grounded note, and 2. a follow-up literature result. It is **not** limited to meeting notes. It applies to any upstream grounded note produced by the grounding family, including: - meeting-grounding - document-grounding - pptx-grounding - table-grounding - archive-grounding The output of this s

More from OneResearchClaw
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About this skill
What does the grounded-summary skill do?

Create a rich, evidence-preserving research report draft from a grounded note and its follow-up literature result. This is the main report-writing stage of the middle pipeline, not a compression memo.

How do I install it?

Run `npx skills add gaotiexinqu/OneResearchClaw --skill grounded-summary --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gaotiexinqu/OneResearchClaw, a repository with 438 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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