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Paper Narrative

CommunityPopular
xuzhougeng
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.

Overview

Publisherxuzhougeng
Repositorywisp-science
Skill namepaper-narrative
Stars
1K
Forks
104
Bundled files
1
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by xuzhougeng on GitHub. Read the source before you install it.

Installation

Install the Paper Narrative AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/xuzhougeng/wisp-science/tree/main/skills/paper-narrative
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/xuzhougeng/wisp-science.git /tmp/wisp-science
mkdir -p .claude/skills
cp -r /tmp/wisp-science/skills/paper-narrative .claude/skills/paper-narrative
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paper Narrative in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Paper Narrative on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Paper Narrative is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 matching paper_brief_schema() in the current Agent. If delegate_tasks is advertised, the brief may instead be assigned to one reasoning task with a structured output schema.
  3. Review the entire brief. Preserve supplied composite_path values and fix unsupported claims before continuing. The brief and review instructions include JSON figure records so each path stays associated with its claim; keep those records when delegating, including paths with spaces or Unicode.
  4. If the deck is a PDF, use pdf-explore to render the relevant pages to local images. Pass their concrete paths to narrative_review_task(...).
  5. Inspect the images with view_image. Optionally delegate one handling-editor task with the minimum advertised reasoning, project_read, and image_inspection capabilities and narrative_review_schema().
  6. Act on the result:
    • use arc as the main-figure order;
    • apply figure_moves;
    • turn missing_panels into explicit analyses;
    • demote or remove the kill_list;
    • send boldest_defensible_fig1 to figure-composer.
  7. Re-review the revised deck. Converge when the hook verdict is yes and no figure moves or missing panels remain.

Use run_in_context only for deterministic analyses requested by missing_panels. Narrative reasoning and Agent delegation are not Runs.

Boundaries

  • Do not pass artifact markers where a path is required.
  • Do not call another model from python.
  • Do not claim the deck was inspected unless every relevant page was rendered and viewed.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Paper Narrative AI 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.

Why use Paper Narrative on TypingMind?

Because you install it once and use it with any model. Paper Narrative is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Paper Narrative in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xuzhougeng/wisp-science/tree/main/skills/paper-narrative. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Paper Narrative?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Paper Narrative?

As many as you like. As long as a model supports skills, you can use Paper Narrative with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Paper Narrative AI skill free?

Yes. It is published on GitHub by xuzhougeng under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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