Cleans, dedupes, and refines documentation to ensure project clarity.

Install

mkdir -p .claude/skills/re0 && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/17550" && unzip -o skill.zip -d .claude/skills/re0 && rm skill.zip

Installs to .claude/skills/re0

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

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.
321 chars✓ has a “when” triggerlonger than Claude Code's old 250-char listing cap (fine on current versions)
Intermediate

Key capabilities

  • Remove scaffolding residue from artifacts
  • Fold durable lessons into artifacts
  • Rewrite instead of appending to remove noise
  • Smooth prose and source noise
  • Refresh artifacts to a clean v0 state

How it works

It reads the target artifact and related ones, then removes stale data, noise, and redundant information. It rewrites sections to reflect current truth, smooths prose and source formatting, and aims for a minimal, clean v0 result.

Inputs & outputs

You give it
An existing artifact that needs cleaning up or syncing
You get back
A refreshed, lighter, more current, and accurate version of the artifact

When to use re0

  • Cleaning up project specs
  • Syncing documentation after refactors
  • Refining messy draft files

About this skill

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.

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.

When not to use it

  • When the user wants to preserve old/new traces in the artifact
  • When the user wants to auto-resolve ambiguities or 'fix' deliberate look-alikes

Limitations

  • Does not create extra files unless requested
  • Preserves the artifact's useful voice and structure
  • A pass that finds nothing to genuinely improve changes nothing

How it compares

This skill systematically refreshes artifacts by rewriting and removing noise, ensuring they read as a clean initial version rather than a series of patches or updates, unlike simple appending or manual cleanup.

Compared to similar skills

re0 side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
re0 (this skill)021dNo flagsIntermediate
docx935moReviewAdvanced
transcription16moReviewIntermediate
granola-core-workflow-a110dNo flagsBeginner

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Example prompts that trigger this skill in your AI assistant.

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