
Make Content Two Pass Edit
Edits an existing draft in order: a substance pass (arguable thesis, swap test, fakes...
Install
npx skills add gooseworks-ai/goose-skills --skill make-content-two-pass-edit -g -a claude-code -y- Repository
- gooseworks-ai/goose-skills1.3k
- Category
- Testing
- Updated
- 9d ago
- License
- MIT
- Context cost
- Lightabout 649 tokens
- Runs scripts
- No, instructions only
What it does
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.
Edit, check, edit
Run on every fresh draft, refresh redline and repurposed set. The full checklists are in ../make-content/references/editing.md.
-
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.
-
Claims check: the shared claims gate (the
claims-gateskill,../claims-gate/SKILL.md) for brand claims, plus../make-content/references/fact-rules.mdfor 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 thead-policy-checkskill) and apply it (disclosure in the piece itself, before "more"). It cuts and softens lines, which leaves gaps. -
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:
- the named author's voice card (bylined pieces);
- the saved company blog guide
brand/voices/blog-<brand-slug>.mdfor company blog/article work (apply its rules and bans; keep any provisional status); - the kit’s voice example lines;
- the brand's own post captions (
brand_read organic); - "From the site" lines in product notes;
- 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.
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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.


