# Make Content Two Pass Edit

Edits an existing draft in order: a substance pass (arguable thesis, swap test, fakes...

- Repository: https://github.com/gooseworks-ai/goose-skills (1276 stars)
- Category: Testing
- License: MIT
- Last updated: 2026-10-27
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add gooseworks-ai/goose-skills --skill make-content-two-pass-edit -g -a claude-code -y`
Codex: `npx skills add gooseworks-ai/goose-skills --skill make-content-two-pass-edit -g -a codex -y`
Cursor: `npx skills add gooseworks-ai/goose-skills --skill make-content-two-pass-edit -g -a cursor -y`
Gemini CLI: `npx skills add gooseworks-ai/goose-skills --skill make-content-two-pass-edit -g -a gemini-cli -y`

## Description

Edits an existing draft in order: a substance pass (arguable thesis, swap test, fakes removed, CTA fit), a claims and fact check that cuts or softens unproven lines, a readability and voice-match pass, then an AI-tell sweep, with an edit note listing open gaps. Use alone when you already have a finished draft and the brand's voice samples and approved claims; otherwise run make-content.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Edit, check, edit

Run on every fresh draft, refresh redline and repurposed set. The full checklists are in `../make-content/references/editing.md`.

1. **Substance pass.** Write four answers into the edit note:
   - the thesis in one arguable sentence;
   - the swap test (pass, or what fails);
   - the fakes removed;
   - whether the CTA matches the intent.

   Run the rest of Pass 1 (so-what, proof density, skeptic, order, hedging) as checks. Fix what fails without writing it up.
2. **Claims check:** the shared claims gate (the `claims-gate` skill, `../claims-gate/SKILL.md`) for brand claims, plus `../make-content/references/fact-rules.md` for world facts, competitor facts, stories, sensitive topics and third-party rights. When the piece is sponsored, affiliate, gifted or a creator collaboration, also load `../ad-policy-check/disclosure.md` (in the `ad-policy-check` skill) and apply it (disclosure in the piece itself, before "more"). It cuts and softens lines, which leaves gaps.
3. **Readability pass** on the post-cut text: smooth the gaps, headline, lede, H2s as claims, scannability, ending. Then **voice match** against the best voice sample available, in this order:
   1. the named author's voice card (bylined pieces);
   2. the saved company blog guide `brand/voices/blog-<brand-slug>.md` for company blog/article work (apply its rules and bans; keep any provisional status);
   3. the kit’s voice example lines;
   4. the brand's own post captions (`brand_read organic`);
   5. "From the site" lines in product notes;
   6. three lines the human pastes on request.

   If none exist, write "voice unmatched: no real samples" in the note and keep the copy plain rather than guessing at personality.
4. **AI-tell check** (mechanical) on the final text. Anything the brand's real writing uses stays; with no real samples, everything on the list goes.

## Edit note (attached to the piece)

The rest: https://github.com/gooseworks-ai/goose-skills/blob/HEAD/skills/marketing/make-content-two-pass-edit/SKILL.md