Agent skill · Design & Presentation

paper-narrative

Judge and reshape the story told by a manuscript and its figure deck. Use when revising paper structure, testing whether Figure 1 is a hook, ordering figures, moving panels, identifying missing analyses, or defining the claim passed to figure-composer.

Zhougeng Xu584★ · +324/wk · 1 repos on radarProfile →
claude-codeships scriptsAGPL-3.0
Install
npx skills add xuzhougeng/wisp-science --skill paper-narrative --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 2 KB
Bundled scripts: yes
Path: skills/paper-narrative/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 895 · +311 this week
Language: HTML

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

From the SKILL.md

# Paper narrative Use this skill before `figure-composer`. The sidecar only builds schemas and self-contained reviewer instructions. Model reasoning happens in the current Agent or an explicitly delegated Wisp Agent, never inside Python. ## Workflow 1. Read the abstract, introduction, captions, and concrete figure paths. 2. Build an instruction with `paper_brief_task(...)`. Produce a brief matchin

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About this skill
What does the paper-narrative skill do?

Judge and reshape the story told by a manuscript and its figure deck. Use when revising paper structure, testing whether Figure 1 is a hook, ordering figures, moving panels, identifying missing analyses, or defining the claim passed to figure-composer.

How do I install it?

Run `npx skills add xuzhougeng/wisp-science --skill paper-narrative --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 xuzhougeng/wisp-science, a repository with 895 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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