Persian Writing
ali2000hos/persian-writing
Write natural, human-sounding Persian (Farsi) and build correct right-to-left Persian deliverables.
Clean up translation-ese and AI-writing tics in Korean prose so it reads like a person wrote it — content (facts, numbers, proper nouns, quotes) stays 100% unchanged, only style and rhythm are…
Install Humanize Korean
$ npx skills add sangrokjung/claude-forge --skill humanize-korean -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sangrokjung/claude-forge humanize-korean --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sangrokjung/claude-forge.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/humanize-korean .claude/skills/humanize-korean && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "humanize-korean" agent skill from https://github.com/sangrokjung/claude-forge/tree/main/skills/humanize-korean into .claude/skills/humanize-korean/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "humanize-korean", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sangrokjung/claude-forge/tree/main/skills/humanize-koreanType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sangrokjung/claude-forge --skill humanize-korean -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sangrokjung/claude-forge humanize-korean --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sangrokjung/claude-forge.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/humanize-korean .agents/skills/humanize-korean && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "humanize-korean" agent skill from https://github.com/sangrokjung/claude-forge/tree/main/skills/humanize-korean into .agents/skills/humanize-korean/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "humanize-korean", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sangrokjung/claude-forge --skill humanize-korean -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sangrokjung/claude-forge humanize-korean --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sangrokjung/claude-forge.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/humanize-korean .cursor/skills/humanize-korean && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "humanize-korean" agent skill from https://github.com/sangrokjung/claude-forge/tree/main/skills/humanize-korean into .cursor/skills/humanize-korean/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "humanize-korean", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sangrokjung/claude-forge.git --path skills/humanize-korean--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sangrokjung/claude-forge --skill humanize-korean -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sangrokjung/claude-forge humanize-korean --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sangrokjung/claude-forge.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/humanize-korean .gemini/skills/humanize-korean && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "humanize-korean" agent skill from https://github.com/sangrokjung/claude-forge/tree/main/skills/humanize-korean into .gemini/skills/humanize-korean/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "humanize-korean", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sangrokjung/claude-forge humanize-koreanInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sangrokjung/claude-forge --skill humanize-korean -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sangrokjung/claude-forge.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/humanize-korean .github/skills/humanize-korean && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "humanize-korean" agent skill from https://github.com/sangrokjung/claude-forge/tree/main/skills/humanize-korean into .github/skills/humanize-korean/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "humanize-korean", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sangrokjung/claude-forge --skill humanize-korean -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sangrokjung/claude-forge humanize-korean --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sangrokjung/claude-forge.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/humanize-korean .opencode/skills/humanize-korean && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "humanize-korean" agent skill from https://github.com/sangrokjung/claude-forge/tree/main/skills/humanize-korean into .opencode/skills/humanize-korean/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "humanize-korean", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
humanize-korean- GitHub stars
- 852
- Token cost
- ~1.3k tokens
- SKILL.md length
- 669 words
- Files
- 2 (incl. references)
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- MIT
At a glance
Clean up translation-ese and AI-writing tics in Korean prose so it reads like a person wrote it — content (facts, numbers, proper nouns, quotes) stays 100% unchanged, only style and rhythm are…
- Works in 6 steps: Before you start — scope and… → Single-pass workflow (in this session,… → Iron rules (violate any of these → roll… → …
- Sounds like a machine translation
- SKILL.md covers 0. Before you start — scope…, 1. Single-pass workflow (in…, 2. Iron rules (violate any of… and 3. Forbidden framing (CRITICAL), plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Humanize Korean is an agent skill from sangrokjung/claude-forge. Clean up translation-ese and AI-writing tics in Korean prose so it reads like a person wrote it — content (facts, numbers, proper nouns, quotes) stays 100% unchanged, only style and rhythm are touched. Single-pass, done in this session. Triggers — AI 티 없애줘, 번역투 고쳐줘, 한글 자연스럽게 윤문해줘, sounds like a machine translation, remove AI tells from this Korean text, make this Korean read naturally. Not for: marketing copy generation (write it clean the first time — see rules/korean-writing-quality.md), English text, plain…
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/quick-rules.md`).
It sits in Writing & Content, covering Humanizing AI text, Translation and Copywriting. The repository describes itself as: oh-my-zsh for Claude Code — 16 agents, 35 commands, 32 skills, 21 safety hooks in one install. v4.0 adds an adversarial review loop: a second agent that never sees the first… The licence is MIT.
When your agent uses it
- Sounds like a machine translation
- Remove AI tells from this Korean text
- Make this Korean read naturally
Example prompts
- “/humanize-korean”
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 34d881d. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Humanize Korean loads about 1.3k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 149 tokens; SKILL.md has 669 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from sangrokjung/claude-forge at commit 34d881d, republished under its MIT licence (© sangrokjung). 669 words, ~1,306 tokens.
Download SKILL.mdSave it as
.claude/skills/humanize-korean/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- humanize-korean
- description
- Clean up translation-ese and AI-writing tics in Korean prose so it reads like a person wrote it — content (facts, numbers, proper nouns, quotes) stays 100% unchanged, only style and rhythm are touched. Single-pass, done in this session. Triggers — AI 티 없애줘, 번역투 고쳐줘, 한글 자연스럽게 윤문해줘, sounds like a machine translation, remove AI tells from this Korean text, make this Korean read naturally. Not for: marketing copy generation (write it clean the first time — see rules/korean-writing-quality.md), English text, plain spell-check (see korean-spell-check), or book-length manuscripts.
Humanize Korean — single-pass cleanup skill (한글 윤문 스킬)
Analogy. A proofreading desk for text that reads like it just came out of a translator — the goal is to make it read like it was written in Korean from the start. It changes not a single fact (proper nouns, numbers, quotes stay 100% intact) — only the style and rhythm. This is removing translation-ese and AI idioms to improve Korean prose quality, not "evading an AI detector."
비유: 번역기를 갓 거친 듯 어색한 한글을 "원래 한국어로 쓴 글"처럼 다듬는 교정 데스크. 사실은 한 글자도 안 바꾸고(고유명사·수치·인용 100% 보존) 문체·리듬·표현만 손본다. 이것은 번역투·AI 구문 제거 = 한글 품질 개선이지 "AI 탐지기 우회"가 아니다.
0. Before you start — scope and data-surface check
- Routing check. If the input is marketing copy that hasn't been written yet, don't run this skill on it — write it clean the first time per
rules/korean-writing-quality.mdinstead; this skill is for cleaning up existing text. If the input is a full book manuscript, treat this as a starting point only — long-form editorial judgment belongs to a human editor or a project-specific process. - Sensitive-text check (see
rules/korean-writing-quality.md§5). If this session or your tooling routes the actual rewrite through a model surface outside this session (a different vendor's API, a hosted service), don't send text containing client names, deal amounts, PII, salary data, or secrets through that surface unless you've explicitly cleared it for that data. When in doubt, do the cleanup pass locally in this session, or redact first.
1. Single-pass workflow (in this session, one pass)
- Read the input. If it's long (roughly 5,000+ Korean characters), consider splitting it into logical sections and running the pass per section — don't try to hold the whole self-check in your head for a very long piece at once.
- Detect. Scan the text against
references/quick-rules.md(compact ID + prescription table) and, for anything ambiguous or worth a worked example,reference/ai-tell-taxonomy.md(the full pattern reference this pack ships at the repo root). - Rewrite. Fix only the spans you detected — a surgical edit, not a rewrite of the whole piece. Keep every proper noun, number, date, unit, and direct quote byte-for-byte identical.
- Self-check. Run the six-item checklist in
references/quick-rules.mdbefore returning the result. If change rate exceeds 50%, stop and tell the user instead of shipping the rewrite — that's not a cleanup pass anymore. - Return. The cleaned text, plus: (a) a one-line status (change rate estimate, rough grade A-D per
references/quick-rules.md), and (b) 3-6 of the most significant before → after examples so the user can see what actually changed.
Show full SKILL.md (241 more words)Show less
2. Iron rules (violate any of these → roll back)
- Meaning is invariant. Facts, claims, numbers, dates, proper nouns, and quotes are preserved 100%.
- Evidence-grounded. Only touch spans that map to a pattern in
references/quick-rules.mdorreference/ai-tell-taxonomy.md. Don't edit prose just because you'd have phrased it differently. - Genre and register stay put. A column doesn't become an essay. A report doesn't slide into blog voice. Formal register stays formal.
- No over-polish. A change rate above 30% is a warning sign; above 50%, stop and reconsider — you're rewriting, not cleaning up.
3. Forbidden framing (CRITICAL)
Never describe this skill's purpose as "evading an AI detector," "detector bypass," or "hiding that this was AI-written." The actual purpose is improving awkward, translation-ese Korean into natural Korean — a legitimate prose-quality goal, independent of who or what wrote the draft.
4. Deeper cleanup (out of scope for this skill)
For long-form (8,000+ characters), high-stakes, or precision-critical text, a heavier multi-pass review (separate detection, rewrite, and independent fidelity/naturalness review stages) does a more thorough job than this single-pass skill. That's a project-specific setup this skill doesn't ship — if you need it, build a multi-stage review around reference/ai-tell-taxonomy.md as the shared pattern reference.
5. References
- Quality standard this cleanup targets:
rules/korean-writing-quality.md - Full pattern reference (10 categories A-J, severity tiers, before/after examples):
reference/ai-tell-taxonomy.md - Compact cheat sheet for this single pass:
references/quick-rules.md - Adjacent utility skills:
skills/korean-character-count(deterministic character/byte counting),skills/korean-spell-check(rule-based spell/grammar check via a public checker)
© sangrokjung, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in skills/humanize-korean of sangrokjung/claude-forge.
- SKILL.md
- references/quick-rules.md
Open the folder on GitHubat commit 34d881d
Compare with similar skills
Humanize Korean next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Humanize Korean this skillsangrokjung/claude-forge | 852 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Persian Writingali2000hos/persian-writing | 368 | — | ~4.4k | Automated safety check: Warn | MIT | |
| AI Copywritermikiarlo3/ai-copywriter | 1.2k | — | ~12k | Automated safety check: Pass | MIT | |
| Humanities Writing Companiontizzy916/humanities-writing-companion | 436 | — | ~3.4k | Automated safety check: Pass | CC-BY-NC-4.0 | |
| Humanized Chinese Writing PolisherEthanYoQ/agent-xiaohongshu-workbench | 154 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Humanizer Zhai-zixun/humanizer-zh | 179 | — | ~1.2k | Automated safety check: Pass | MIT |
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Questions about Humanize Korean
What does Humanize Korean do?
Clean up translation-ese and AI-writing tics in Korean prose so it reads like a person wrote it — content (facts, numbers, proper nouns, quotes) stays 100% unchanged, only style and rhythm are…. Humanize Korean is an agent skill from sangrokjung/claude-forge. Clean up translation-ese and AI-writing tics in Korean prose so it reads like a person wrote it — content (facts, numbers, proper nouns, quotes) stays 100% unchanged, only style and rhythm are touched.
When should I use Humanize Korean?
Humanize Korean fits situations like: sounds like a machine translation; remove AI tells from this Korean text; make this Korean read naturally.
How do I install Humanize Korean in Claude Code?
Run `npx skills add sangrokjung/claude-forge --skill humanize-korean -a claude-code`. Or copy the skill folder (skills/humanize-korean in sangrokjung/claude-forge) into .claude/skills/humanize-korean in your project. Claude Code loads it when a task matches its description.
How do I install Humanize Korean in Codex?
Run `npx skills add sangrokjung/claude-forge --skill humanize-korean -a codex`. Or copy the skill folder (skills/humanize-korean in sangrokjung/claude-forge) into .agents/skills/humanize-korean in your project. Codex loads it when a task matches its description.
Can I use Humanize Korean in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sangrokjung/claude-forge --skill humanize-korean -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/humanize-korean, .gemini/skills/humanize-korean, .github/skills/humanize-korean and .opencode/skills/humanize-korean in your project.
What does Humanize Korean need to run?
SKILL.md names no scripts, command-line tools or credentials: Humanize Korean is instructions for the agent only.
Does Humanize Korean access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Humanize Korean safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Humanize Korean use?
Humanize Korean is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Humanize Korean use?
About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.
What are the alternatives to Humanize Korean?
Skills that share tags, products or a category with Humanize Korean: Persian Writing (ali2000hos/persian-writing, 368 stars), AI Copywriter (mikiarlo3/ai-copywriter, 1.2k stars), Humanities Writing Companion (tizzy916/humanities-writing-companion, 436 stars) and Humanized Chinese Writing Polisher (EthanYoQ/agent-xiaohongshu-workbench, 154 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Humanize Korean?
sangrokjung (a GitHub user) maintains it in sangrokjung/claude-forge, which has 852 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on September 3, 2026.
Source: sangrokjung/claude-forge on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.