Academic Polishing

Community

joshua-zyy

academic-polishing

Polish academic prose, de-AI-ify text, control claim strength, or rewrite method sections for CS/AI/ML papers. Executes Prose Quality Gate, Claim Strength Audit, and de-AI pass. Use when: removing AI writing patterns from paper text, adjusting claim strength to match evidence level, rewriting method sections with proper narrative flow, improving academic writing quality, checking for overclaiming. Triggers on: 润色, polish, improve writing, 去AI, de-AI, claim strength, 改写, rewrite method, prose quality, 降级表述, remove AI patterns, academic writing polish, 学术润色, 去AI化, 降级结论, improve prose.

Overview

Publisher	joshua-zyy
Repository	`academic-paper-writer`
Skill name	`academic-polishing`
Stars	115
Forks	1
Bundled files	10
License	MIT
Links	Skill source Repository

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.
10 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by joshua-zyy on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/joshua-zyy/academic-paper-writer/tree/main/skills/academic-polishing
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.

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/joshua-zyy/academic-paper-writer.git /tmp/academic-paper-writer
mkdir -p .claude/skills
cp -r /tmp/academic-paper-writer/skills/academic-polishing .claude/skills/academic-polishing

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Academic Polishing 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 Academic Polishing 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 Academic Polishing 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.

Academic Polishing

将此 skill 视为"学术文体打磨代理"——不是简单润色，而是执行 prose 质量闸门、去AI化改写、claim 强度控制和 Method 专项叙事强化。

Router Protocol

Read manifest.yaml. It declares always_load files, axes, and references.on_demand.
Read every file listed under always_load. These are the skill's binding rules — not reference material.
Apply the loaded material as constraints:
- stance.md defines non-negotiable rules, AI Traffic Light, claim strength, evidence-aware boundary, and scope.
- red-lines.md defines absolute prohibitions. Do not negotiate these.
- output-contract.md defines deliverables and completion criteria per mode.
- anti-patterns.md defines known failure modes and their correct alternatives.
Detect the mode using the manifest's mode axis. If ambiguous, ask one concise question.
Echo the selected mode to the user before executing.
Reach for references/ only when the manifest's references.on_demand condition is satisfied.

Structural debt is not language debt. If section_contract_debt = open, only apply local safe edits and return the diagnosis.

Modes

Mode	Use when
`prose-quality-gate`	General prose quality check + rewrite
`method-prose-rewrite`	Method section narrative: 问题→设计→机制→收益/边界
`de-ai-pass`	Remove AI writing patterns only
`claim-strength-audit`	Audit and adjust claim strength

Execution

Called internally by academic-paper-writer orchestrator at Step 9.6. The main agent reads this file and references/ to execute polishing in-process (no subagent dispatch). Polishing must not modify project source code, configuration, or data files. Max 2 rewrite rounds.

Independent Use

Input	Mode	Priority	Behavior
"润色一下", "改改语言"	prose-quality-gate	2 (fuzzy)	Quality gate + rewrite, max 2 rounds
"去掉 AI 味", "不像人类写的"	de-ai-pass	2 (fuzzy)	AI pattern removal only
"claim 太强了", "降级结论"	claim-strength-audit	2 (fuzzy)	All claims audited, zero-tolerance check
"改写 Method", "Method 写得太潦草"	method-prose-rewrite	2 (fuzzy)	Method narrative: problem→design→mechanism→benefit/boundary
Explicit mode name	as specified	1 (explicit)	Skip inference, use specified mode

Scenario	Recommended
Just polish/de-AI text	This skill (standalone)
Auto-polish during drafting	academic-paper-writer orchestrator (Step 9.6)
After revision review	academic-reviser → this skill

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 Academic Polishing AI skill do?

Why use Academic Polishing on TypingMind?

Because you install it once and use it with any model. Academic Polishing 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 Academic Polishing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/joshua-zyy/academic-paper-writer/tree/main/skills/academic-polishing. 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 Academic Polishing?

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 Academic Polishing?

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

Is the Academic Polishing AI skill free?

Yes. It is published on GitHub by joshua-zyy 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Academic Polishing

Router Protocol

Modes

Execution

Independent Use

Bundled files

Frequently asked questions

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