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Paper From Zero

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yunshenwuchuxun
paper-from-zero

Route a fixed research topic into a rigorous paper-generation workflow. Handles active literature search, innovation framing, contribution/evidence planning, and routes to either the review writer or empirical writer skill.

Overview

Publisheryunshenwuchuxun
Repositorylatex-paper-skills
Skill namepaper-from-zero
Stars
270
Forks
23
Bundled files
11
LicenseMIT
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.

  • 11 bundled files

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

  • Open source

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

Installation

Install the Paper From Zero 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/yunshenwuchuxun/latex-paper-skills/tree/main/.codex/skills/paper-from-zero
  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/yunshenwuchuxun/latex-paper-skills.git /tmp/latex-paper-skills
mkdir -p .claude/skills
cp -r /tmp/latex-paper-skills/.codex/skills/paper-from-zero .claude/skills/paper-from-zero
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paper From Zero 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 From Zero 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 From Zero 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-From-Zero

Use this skill when the user already has a topic/domain and wants a structured path from topic -> innovation framing -> evidence plan -> draft-ready paper workflow.

This skill is the front door of the paper stack:

  • It decides whether the work is best treated as a review or empirical paper.
  • It actively searches literature and frames the contribution.
  • It produces the handoff contract used by the downstream writer skill.

When to Use

  • The topic is known, but the paper structure and contribution are not yet pinned down.
  • The user wants the model to search for candidate innovation angles.
  • The user wants a rigorous pre-writing stage before draft generation.

When NOT to Use

  • The user already has a finished review outline and only wants review execution.
  • The user already has an experimental paper contract and only wants draft execution.
  • The task is non-academic or does not need citation-grounded writing.

Outputs

  • brief/topic-brief.md
  • brief/contribution-map.yaml
  • brief/evidence-matrix.csv
  • notes/innovation/ (innovation candidates + evidence links; recommended)
  • plan/outline-contract.md
  • plan/router-decision.md
  • A routing decision to one downstream writer:
    • ../arxiv-paper-writer/SKILL.md for review papers
    • ../empirical-paper-writer/SKILL.md for experimental papers

Workflow

  1. Confirm the topic, constraints, and whether the user already has a preferred innovation.
  2. Actively search literature and build a compact literature map.
  3. Produce 3-5 candidate innovation/contribution framings unless the user already supplied one.
  4. Kill weak framings early: reject ideas that lack a clear gap, evidence path, or falsifiable claim.
  5. Build a contribution map:
    • primary claim
    • secondary claims
    • non-goals / out-of-scope claims
    • risk factors / likely reviewer objections
  6. Build an evidence matrix for every claim:
    • required citations
    • required visuals/tables
    • required experiments (if any)
    • what may remain placeholder vs what must be verified before finalization
  7. Produce an outline contract with section goals, citation quotas, and figure quotas.
  8. Route:
    • review -> use ../arxiv-paper-writer/SKILL.md
    • empirical -> use ../empirical-paper-writer/SKILL.md

Collaboration Hooks (Recommended)

The following hooks integrate the breadth (Gemini) and depth (Claude) co-pilots at fixed points in the workflow. Hooks are optional but strongly recommended for research rigor.

#TriggerCallInputOutput consumed by
1After step 2 (literature initial screening)Gemini literature-maptopic + Key Terms from topic-briefCandidate papers and keyword clusters feed back into literature search; not written directly into artifacts.
2After step 5 (contribution-map initial draft)Claude claim-stress-testcontribution-map.yaml full textrisks and reviewer_objections feed back into contribution-map revision.
3After step 6 (evidence-matrix initial draft)Gemini evidence-matrix-gap-check OR Claude evidence-sufficiency-auditevidence-matrix.csv + claims listGap list or sufficiency assessment feeds back into evidence-matrix revision.
4Before step 8 (routing decision)Claude route-review-vs-empiricalcontribution-map + evidence-matrix summaryRouting recommendation + adversarial challenge written into router-decision.md.

Hooks are non-blocking. If the target model is unavailable, the orchestrator decides the fallback. Candidates-Only constraint applies regardless of executor.

Hook 3 selection rule: If the average evidence rows per claim < 3, call Gemini evidence-matrix-gap-check first (breadth). If coverage appears sufficient, call Claude evidence-sufficiency-audit (depth). Both may be called sequentially.

Constraint: Collaboration outputs are inputs to artifact revision, not direct writes. All candidate entries must pass the Candidates-Only constraint defined in the co-pilot skills. validate_handoff.py does not check capsule state — it only validates final artifact completeness.

Routing Rules

  • Route to review when the deliverable is a survey, synthesis, taxonomy, benchmark-style review, or evidence-first overview.
  • Route to empirical when the deliverable makes a novel method/setting/evaluation claim that needs experimental validation.
  • If the topic contains both, prefer the paper’s primary contribution type.

Handoff Contract

Before routing, create the following artifacts in the target project folder:

  • brief/topic-brief.md: topic, scope, audience, constraints, venue/page targets
  • brief/contribution-map.yaml: claims, non-claims, novelty framing, risks
  • brief/evidence-matrix.csv: claim-to-evidence mapping
  • plan/outline-contract.md: section tree + section intent + citation/figure quotas
  • plan/router-decision.md: chosen mode and why

The downstream writer must consume these artifacts rather than re-guessing user intent.

Validation (recommended)

Before routing, validate the handoff artifacts:

bash
python3 .codex/skills/paper-from-zero/validate_handoff.py --project-dir <paper_dir>

Strictness Rules

  • Do not invent novelty. Frame novelty as a hypothesis until grounded by evidence.
  • Do not skip literature search for “obvious” topics.
  • Do not allow claim language stronger than available evidence.
  • For empirical work, explicitly separate planned, placeholder, and verified results.

References to Read

  • references/architecture.md
  • references/innovation-framing.md
  • references/routing-policy.md

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 From Zero AI skill do?

Route a fixed research topic into a rigorous paper-generation workflow. Handles active literature search, innovation framing, contribution/evidence planning, and routes to either the review writer or empirical writer skill.

Why use Paper From Zero on TypingMind?

Because you install it once and use it with any model. Paper From Zero 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 From Zero in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yunshenwuchuxun/latex-paper-skills/tree/main/.codex/skills/paper-from-zero. 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 From Zero?

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 From Zero?

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

Is the Paper From Zero AI skill free?

Yes. It is published on GitHub by yunshenwuchuxun under the MIT 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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