Individual skill
make-content-two-pass-edit
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.
skills/marketing/make-content-two-pass-edit/SKILL.md
Source commit df8298140d434a6363de0c265eb6af2e571d97a5
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- Yes
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- Observed behavior
- Local scripts
- Last checked
- Nov 11, 2026
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- Repository stars (not skill ratings)
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- Repository last updated
- Nov 6, 2026
- License
- MIT
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SKILL.mdcore · 3,093 bytesskill.meta.jsonasset · 435 bytes
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# 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);