ux-review
Skill2 starsChanged 9 days agoMITView on GitHub
Use when someone wants a feature checked from the user's point of view - "walk through it as a user", "where do people get stuck", "would people understand this", "can people even find it", "UX review", "persona walkthrough", "spawn some personas", "check it before we launch". Especially for features that unfold over days or weeks (calendars, streaks, challenges, seasons, games) or that outside promotion (posts, stories, pushes, mails) points people to.
26 other projects use a version of this.
Adopted by
Most recently taken up by
- chuanglibs/Claude-Code-Game-Studios-Codextheir own version, first seen Nov 15, 2026
- rschuft/ai-frontend-skill-packstheir own version, first seen Nov 15, 2026
- whyashthakker/estacktheir own version, first seen Nov 8, 2026
- WilliamEbong/CourseForgetheir own version, first seen Nov 8, 2026
- striderZA/OpenCodeGameStudiostheir own version, first seen Nov 4, 2026
- ngmeyer/skillstheir own version, first seen Nov 1, 2026
Other versions26 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 26
- Donchitos/Claude-Code-Game-Studios★ 27ksame name
- gitkraken/vscode-gitlens★ 10ksame name
- striderZA/OpenCodeGameStudios★ 118same name
- cenconq25/claude-code-app-studio★ 40same name
- brianwestphal/glassbox★ 34same name
- parhamb/design-skills★ 21same name
- dawn840705/codex-code-studios★ 17same name
- lilangMax/ClaudeCodeGameStudios★ 8same name
- RoleModel/skills★ 7same name
- hongyuanc/codex-game-studios★ 5same name
16 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository12 other files it gives its agents.
- analyticsSkill
- architectureSkill
- audit-codeSkill
- audit-productSkill
- auditSkill
- cross-examineSkill
- fix-typoSkill
- fun-checkSkill
- roastSkill
- tighten-copySkill
- untangleSkill
- visualizeSkill
The file
We split this skill into the rules it gives an agent
8 rules. 0 are common, 8 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 24 edited versions we read keep these.
8
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 25
Inventory the doors and the promises: Before any persona starts, list from code, copy catalogs, help, push and mail templates, and …
- Distinctive: line 26
every place that tells people where the feature is: tabs, menus, home cards, pushes, mails, posts, stories, help articles.
- Distinctive: line 27
every statement of the rules: intro, terms, labels, empty states, notifications, marketing.
- Distinctive: line 40
A fresh account per persona: Never the owner's account, and no admin rights unless the persona has them.
- Distinctive: line 41
Its own copy of anything time travel moves: If "jump to day N" shifts shared data, clone the feature per persona.
- Distinctive: line 43
Time and activity through the product's own functions: Use its dev or seed hooks, not raw SQL that skips side effects.
- Distinctive: line 48
start from the real entry point, and never open the feature by link unless the persona would arrive by link.
- Distinctive: line 50
look at every screenshot, ignore dev-only controls, clean up at the end.
“Common” is measured: kept by at least 6 in 10 of the 24 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
UX review with lived persona walkthroughs
Core principle
A finding is something a person ran into on their own way through the running product, not something a reviewer suspects. Several distinct people use the feature in the real app, over the time it really spans, starting from wherever they would really start. Every finding is verified before it reaches the owner.
cil:audit-product finds reachable incoherent states from the code and cil:tighten-copy fixes wording. This skill finds what people actually trip over, including whether they find the feature at all. Use those two for the follow-up fixes.
What only a lived walkthrough catches
- Discoverability. Can a person find the feature from where they actually are (home, a tab, the menu, a push, an Instagram post)? Does the place that promotion names really hold it?
- Promise drift. The intro, terms, labels, help, notifications and marketing each state the rules, and one of them still states last month's rule.
- Time. What day 2 and day 3 look like, what a late joiner sees, what the home surface says once the day's action is done.
- Taught but not kept. A gesture or flow the intro teaches that the real screen does not support.
Steps
Inventory the doors and the promises. Before any persona starts, list from code, copy catalogs, help, push and mail templates, and marketing drafts:
- every place that tells people where the feature is: tabs, menus, home cards, pushes, mails, posts, stories, help articles;
- every statement of the rules: intro, terms, labels, empty states, notifications, marketing.
Step 6 checks both lists.
Design 3 to 5 personas who pull in different directions. Vary them on:
- patience: skims or reads everything;
- skill with apps;
- motivation: prize, habit, brand fan, sceptic;
- language and locale;
- how and when they arrive: existing user from home, newcomer from an outside post, late joiner;
- their real activity pattern.
Give each one a name, one line of life, an entry point, a language, the days they live through and what they do between days. Spread them across the timeline so together they cover every kind of content and state: first day, a reward day, a task day, a plain day, joining halfway.
- Give every persona its own world. Parallel personas must never share mutable state.
- A fresh account per persona. Never the owner's account, and no admin rights unless the persona has them.
- Its own copy of anything time travel moves. If "jump to day N" shifts shared data, clone the feature per persona.
- Its own browser process. A browser MCP server is one shared browser, so parallel agents overwrite each other. Launch one persistent browser per persona and drive it over CDP:
scripts/persona-kit.example.mtshas the generic part. - Time and activity through the product's own functions. Use its dev or seed hooks, not raw SQL that skips side effects. Write down what the kit fakes (for example, activity that only one feature sees) so step 5 can discount it.
- Local or dev only, on a single-user machine. Mint short-lived sessions inside the kit process so no token ever appears in tool output, and revoke them when the browser stops. A browser's debugging port is open to every local process while it runs.
Dispatch one agent per persona, in parallel. The brief holds:
- the persona and the day plan;
- the kit commands;
- start from the real entry point, and never open the feature by link unless the persona would arrive by link;
- stay in character while exploring, and when stuck, note it and then find the way anyway;
- look at every screenshot, ignore dev-only controls, clean up at the end.
Require this report shape:
- who they are;
- per day, what they did, with screenshot paths;
- confusions: where, what they thought versus what it meant, severity (blocker, slows down, minor), screenshot;
- what they liked;
- copy that reads wrong, as exact text;
- bugs and glitches;
- discoverability: how they found it, how long it took, whether the promised path worked;
- would they come back tomorrow, would they tell a friend.
- Verify before reporting. Agent reports sound equally sure whether right or wrong. Open the code or reproduce each finding, then sort it:
- product problem;
- content problem: stand-in or editorial text, for whoever writes it;
- test artefact: caused by the kit, such as a shifted clock, faked activity or a page loaded before a time jump.
- Hold the inventory against what happened. A rule statement from step 1 that disagrees with what personas experienced is a finding, even if no persona named it. A door from step 1 that no persona could use is a discoverability finding.
Report to the owner.
- Ranked findings: by how many personas hit each one and how badly, one line each with persona and screenshot.
- Content notes.
- Test artefacts, named so nobody fixes them.
- What they liked, so nobody removes it.
- Would they return.
End with one question. Delete the accounts, cloned data and browser profiles; keep the screenshots.
Kit contract
The kit is one small CLI the persona agents call, one step per command:
| Command | Does |
setup <key> <name> <locale> | account plus that persona's own world, prints the start path |
browser <key> <port> <locale> | phone-sized persistent browser, run in the background; mints the session inside and prints only ready |
act <key> <port> <verb> | goto, click, tap, drag, scroll, shot, text, buttons, back, wait |
day <key> <n> | moves this persona's world to step n |
activity <key> <amount> | what the persona does between days |
cleanup <key> | removes the account, the world and the profile |
Prove it on a throwaway persona first: one setup, one screenshot, one time jump, one cleanup.
Common mistakes
| Mistake | Instead |
| Personas as seeded data states that one reviewer walks | Each persona lives its days in order, as its own agent |
| Starting personas on the feature's URL | Start where they start; finding it is part of the test |
| All personas drive one MCP browser | One browser process per persona, driven over CDP |
| Shifting time on shared data while others walk | Clone the feature per persona |
| Passing every agent claim on | Verify, and label artefacts and content separately |
| Listing only problems | Keep the likes; they protect what works |
| "Consider improving the onboarding" | The exact text, the screen, the persona, the screenshot |
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

