SKILL FILE

UX Copy Review with AI

Refine user-facing copy for clarity, conviction, and conversion. Reviews buttons, headlines, empty states, error messages, onboarding flows, and form labels. Returns specific rewrites with the reason for each change.

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What this skill file teaches Claude

Drop one markdown file into your repo. Claude Code learns how to run this entire workflow.

1

Surface-by-surface rewrites

Reviews each button, headline, error, empty state, and form label. Returns original vs rewrite side-by-side with reason for each change.

2

Severity-tagged

Critical (ship-blocker), important (should fix), nice-to-have (polish). So you know what to prioritise.

3

Voice alignment

Reviews against your brand voice guide and the SoloStack AI-tell ban list. Catches em dashes, "leverage", "delve", hype adjectives, hedging.

4

Anti-pattern detection

Flags reusable mistakes: jargon dumps, hedged CTAs, apologetic errors, vague verbs. Gives you the replacement pattern.

5

Reusable patterns extracted

Lifts rules from the rewrites that apply elsewhere (e.g. "all errors name the fix, not the failure") so the next developer applies them automatically.

6

Pre-ship checklist

Short final scan list for the next copy review. Stops the same mistakes shipping twice.

What you can build with this

Onboarding flow polish

You're about to ship a 12-screen onboarding written by engineers. Review every screen for clarity, voice, and conviction before launch.

Conversion drop on pricing page

Conversion dropped 30% after the last redesign. Review every line of pricing copy and CTAs to find what's killing it.

Error message audit

Support tickets show users confused by error messages. Audit every error and rewrite to name the fix, not just the failure.

Brand voice rollout

Marketing locked a new voice. Product UI still sounds like the old voice. Audit and align.

Get the full skill file

Everything above is 80% of the skill file. Download the complete version with full implementation details, agent prompts, and ready-to-run scripts.

Common questions

It can but it's not the best fit. UX copy review is built for microcopy and product UI (buttons, errors, empty states, form labels, onboarding). For long-form web copy, use a copywriting-focused skill or the `/linkedin-post` skill for social. Long-form has different rules (story arc, scrollability, persuasion structure) that this skill doesn't cover deeply.
Overlap, but different focus. Brand voice review checks tone across all surfaces (marketing, sales, product, support). UX copy review focuses on product UI specifically — the surfaces where the user is mid-action and the copy has to work in 3 seconds. Run UX copy review when the problem is on-screen copy. Run a brand voice review when the problem is broader (marketing vs product vs support sounding like different companies).
Only the weak pieces. If a button, headline, or message is already good, the review says so and moves on. Rewriting good copy for the sake of it is a fast way to make UI worse. The skill scores against 5 tests (clarity, conviction, conversion, length, trust) and only rewrites where the score is weak.
A list of words and punctuation patterns that immediately read as "AI wrote this" — em dashes, "delve", "leverage", "navigate", "robust", "comprehensive", "in today's world", "It's worth noting that", etc. Lives in `departments/marketing/freya/linkedin-reference-library.md`. The skill catches and rewrites these because they kill credibility, especially in product copy where the bar for sounding human is high.
Best results in English, where the SoloStack voice rules are locked. For other languages, the skill applies the same structural principles (clarity, verb-led CTAs, errors that name the fix, empty states that show the first action) but voice rules drift. Worth a native-speaker review pass after the skill finishes for non-English copy.
A generic LLM produces copy that sounds like everyone else's LLM-written copy. The UX copy review is calibrated to SoloStack's voice rules, the AI-tell ban list, microcopy patterns from named books, and product-UI-specific tests (clarity in 3 seconds, action-led CTAs, errors that name the fix). The output is shippable, not generic.

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