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Agent skill

Re0

by LilMGenius in LilMGenius/paperthin

Refresh an existing artifact into the current best v0. An agent skill from LilMGenius/paperthin.

MITAuto-check passedDevelopment

Install Re0

skills CLI
$ npx skills add LilMGenius/paperthin --skill re0 -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LilMGenius/paperthin re0 --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LilMGenius/paperthin.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/depth/re0 .claude/skills/re0 && rm -rf skills-src

Use ~/.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/

Facts

Skill name
re0
GitHub stars
1.1k
Token cost
~716 tokens
SKILL.md length
399 words
Files
1
Skills in repo
28
Repo updated
First seen
Licence
MIT

At a glance

Refresh an existing artifact into the current best v0. An agent skill from LilMGenius/paperthin.

  • Works in 10 steps: Identify the target artifact from the… → Read the target artifact end to end… → Check nearby artifacts that must stay… → …
  • The user asks to clean up
  • SKILL.md covers Goal, Workflow, Rules and Verification
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Re0 is an agent skill from LilMGenius/paperthin. Refresh an existing artifact into the current best v0. Use when the user asks to clean up, sync up, dedupe, de-noise, smooth, rewrite, or update an artifact after iteration; when nearby artifacts may have drifted; or when changes in one place should be reflected across related artifacts while keeping the result minimal.

Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development. The repository describes itself as: Low-level agentic design patterns. Turning old engineering wisdom into reflexes your agent reaches for on its own—on any agent. The licence is MIT.

When your agent uses it

  • The user asks to clean up
  • Update an artifact after iteration
  • Nearby artifacts may have drifted
  • Changes in one place should be reflected across related artifacts while keeping the result minimal

Example prompts

  • “/re0”

Workflow steps

10 steps, taken from the first numbered list in SKILL.md.

  1. Identify the target artifact from the user's request or the active context.
  2. Read the target artifact end to end before editing.
  3. Check nearby artifacts that must stay aligned with it.
  4. Remove scaffolding residue, stale deltas, duplicated process noise, deprecated information, and over-specific history.
  5. Fold durable lessons into the place they should have lived from the start.
  6. Rewrite instead of appending when appending would preserve noise.
  7. Preserve the artifact's useful voice and structure; simplify everything else.
  8. Smooth prose noise: fold a parenthetical that interrupts a sentence or list into its own clause or cut it, keep a word or point repeated…
  9. Smooth source noise: unwrap a hard line break that splits a sentence mid-flow so each paragraph or list item lives on one source line…
  10. Re-read the result and cut again.

What it can do on your machine

Read from SKILL.md and the folder at commit 7d5dc62. 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

Re0 loads about 716 tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 399 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~716

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 LilMGenius/paperthin at commit 7d5dc62, republished under its MIT licence (© LilMGenius). 399 words, ~716 tokens.

Download SKILL.mdSave it as .claude/skills/re0/SKILL.md (or your agent's skills folder).
name
re0
description
Refresh an existing artifact into the current best v0. Use when the user asks to clean up, sync up, dedupe, de-noise, smooth, rewrite, or update an artifact after iteration; when nearby artifacts may have drifted; or when changes in one place should be reflected across related artifacts while keeping the result minimal.

Refresh the target artifact as if it were the first clean version.

Goal

The result must be lighter, more current, and more accurate than the input. It should not read like a changelog, cleanup note, or patch over an older draft.

Workflow

  1. Identify the target artifact from the user's request or the active context.
  2. Read the target artifact end to end before editing.
  3. Check nearby artifacts that must stay aligned with it.
  4. Remove scaffolding residue, stale deltas, duplicated process noise, deprecated information, and over-specific history.
  5. Fold durable lessons into the place they should have lived from the start.
  6. Rewrite instead of appending when appending would preserve noise.
  7. Preserve the artifact's useful voice and structure; simplify everything else.
  8. Smooth prose noise: fold a parenthetical that interrupts a sentence or list into its own clause or cut it, keep a word or point repeated within reach of itself only once, and unwind padding that adds length but not meaning.
  9. Smooth source noise: unwrap a hard line break that splits a sentence mid-flow so each paragraph or list item lives on one source line, matching how sibling artifacts format theirs; make a plain-text pointer to a named section or file followable, a link where the medium supports one; leave code, tables, and quoted material as formatted.
  10. Re-read the result and cut again.
Show full SKILL.md (170 more words)Show less

Rules

  • A pass that finds nothing to genuinely improve changes nothing.
  • Prefer editing existing sections over adding new ones.
  • Convert "what changed" into "what is true now".
  • Keep only details that improve future execution, accuracy, or recall.
  • Do not leave old/new traces unless the artifact is explicitly a changelog.
  • Fix machine-clear residue; surface judgment calls — never auto-resolve an ambiguity or "fix" a deliberate look-alike.
  • Repair from the source of truth — the canonical or sibling artifact, not the damaged surface — and mutate with edit-safety: assert the target exists (report a MISS, never a silent no-op), edit unicode-safe (PYTHONUTF8=1), replace positional targets per occurrence rather than by blanket sweep, and script large structural moves.
  • Do not create extra files unless the user asks.

Verification

The result reads as a clean v0 to fresh eyes — no trace of the older draft, no sign it was patched rather than rewritten. If unsure, re-read it cold, as a stranger with no prior context would. Report what noise was removed and what durable truth was kept.

© LilMGenius, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/depth/re0 of LilMGenius/paperthin.

Open the folder on GitHubat commit 7d5dc62

Compare with similar skills

Re0 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.

Re0 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Re0 this skillLilMGenius/paperthin1.1k—~716Automated safety check: PassMIT
Vercel Composition Patternssupabase/supabase111k58 repos~726Automated safety check: PassMIT
Finishing a Development Branchobra/superpowers297k5 repos~1.9kAutomated safety check: PassMIT
Typescript Advanced Typesrolling-scopes/rsschool-app10k25 repos~4.2kAutomated safety check: PassMPL-2.0
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k4 repos~1.1kAutomated safety check: PassMIT

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Categories

Questions about Re0

What does Re0 do?

Refresh an existing artifact into the current best v0. An agent skill from LilMGenius/paperthin. Re0 is an agent skill from LilMGenius/paperthin. Refresh an existing artifact into the current best v0.

When should I use Re0?

Re0 fits situations like: the user asks to clean up; update an artifact after iteration; nearby artifacts may have drifted; changes in one place should be reflected across related artifacts while keeping the result minimal.

How do I install Re0 in Claude Code?

Run `npx skills add LilMGenius/paperthin --skill re0 -a claude-code`. Or copy the skill folder (skills/depth/re0 in LilMGenius/paperthin) into .claude/skills/re0 in your project. Claude Code loads it when a task matches its description.

How do I install Re0 in Codex?

Run `npx skills add LilMGenius/paperthin --skill re0 -a codex`. Or copy the skill folder (skills/depth/re0 in LilMGenius/paperthin) into .agents/skills/re0 in your project. Codex loads it when a task matches its description.

Can I use Re0 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 LilMGenius/paperthin --skill re0 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/re0, .gemini/skills/re0, .github/skills/re0 and .opencode/skills/re0 in your project.

What does Re0 need to run?

SKILL.md names no scripts, command-line tools or credentials: Re0 is instructions for the agent only.

Does Re0 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 Re0 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 Re0 use?

Re0 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 Re0 use?

About 716 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Re0?

Skills that share tags, products or a category with Re0: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Re0?

LilMGenius (a GitHub user) maintains it in LilMGenius/paperthin, which has 1,130 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on October 1, 2026.

Source: LilMGenius/paperthin on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.