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Humanize Redo

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epoko77-ai
humanize-redo

가장 최근 윤문 결과를 2차로 다시 다듬는다 — 특정 카테고리·문단·강도 조정도 가능. humanize-korean strict 윤문(Phase B)을 기존 run_id에 재실행해 잔존 finding을 처리한다. 트리거 — "/humanize-redo".

Overview

Publisherepoko77-ai
Repositoryim-not-ai
Skill namehumanize-redo
Stars
5.6K
Forks
605
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by epoko77-ai on GitHub. Read the source before you install it.

Installation

Install the Humanize Redo 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.
  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/epoko77-ai/im-not-ai.git /tmp/im-not-ai
mkdir -p .claude/skills
cp -r /tmp/im-not-ai/skills/humanize-redo .claude/skills/humanize-redo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Humanize Redo 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 Humanize Redo 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 Humanize Redo 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.

/humanize-redo — 2차 윤문 / 부분 재실행

cwd 기준 가장 최근 _workspace/{run_id}/를 찾아 humanize-korean 스킬의 strict 윤문(Phase B)부터 재호출한다.

사용자 지시

$ARGUMENTS

동작

  1. Glob으로 _workspace/YYYY-MM-DD-*/final.md(또는 01_input.txt)를 매칭해 최신 run_id 식별. 없으면 "이전 실행이 없습니다. /humanize로 시작하세요" 안내 후 종료.
  2. 사용자 지시 파싱:
    • 카테고리 지정("번역투만", "관용구만", "이모지만") → 해당 카테고리 finding만 재윤문
    • 문단 지정("이 문단만", "두 번째 문단만") → 해당 범위 finding만
    • 강도 조정("강도 낮춰"·"보수적으로" → S1만, "강도 높여" → S1+S2+S3)
    • 롤백 요청("이 변경 되돌려줘") → 해당 edit을 content-fidelity-auditor 롤백으로 처리
    • 지시 없음·"2차 윤문해줘" → 잔존 finding 전체 대상 round 2
  3. korean-style-rewriter 재호출 입력: 기존 02_detection.json 또는 05_naturalness_review.json의 잔존 finding + 사용자 지시를 target_filter로 전달.
  4. 산출물은 03_rewrite_v2.md(또는 v3)로 버전 분리. 이전 final.md는 final_prev.md로 백업.
  5. strict Phase C 병렬 검증 → Phase D 최종 출력(변경 비교 표 + 신규 등급).

루프 한도

최대 round 3. 그 이상 미해결이면 hold_and_report로 사람 검토 권고.

참고

  • 풀 파이프라인 신규 실행은 /humanize.
  • 분류 체계: humanize-korean/references/ai-tell-taxonomy.md

Frequently asked questions

What does the Humanize Redo AI skill do?

가장 최근 윤문 결과를 2차로 다시 다듬는다 — 특정 카테고리·문단·강도 조정도 가능. humanize-korean strict 윤문(Phase B)을 기존 run_id에 재실행해 잔존 finding을 처리한다. 트리거 — "/humanize-redo".

Why use Humanize Redo on TypingMind?

Because you install it once and use it with any model. Humanize Redo 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 Humanize Redo in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/epoko77-ai/im-not-ai/tree/main/skills/humanize-redo. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Humanize Redo?

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 Humanize Redo?

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

Is the Humanize Redo AI skill free?

Yes. It is published on GitHub by epoko77-ai 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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