playwright-testing
Skill530 starsChanged 6 days agoLicence not identifiedView on GitHub
Write or update the repository's Playwright E2E tests.
18 other projects use a version of this.
Adopted by
Most recently taken up by
- kazemcodes/skill-treetheir own version, first seen Nov 8, 2026
- n-n-code/n-n-code-skillstheir own version, first seen Nov 1, 2026
- suryas91/claude-skillstheir own version, first seen Oct 11, 2026
- TangleML/tangle-uitheir own version, first seen Oct 8, 2026
- fossasia/visdomtheir own version, first seen Oct 8, 2026
- alinaqi/claude-bootstraptheir own version, first seen Oct 8, 2026
Used with
Projects with it also use security, ponytail and 1 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
0xSeroSkillsecurity
Also in 3 projects that use this
GoogleSkillponytail
Forces the laziest solution that actually works, simplest, shortest, most minimal. Channels a senior dev who has seen everything: question whether the task needs to exist at all (YAGNI), reach for the standard library before custom code, native platform features before dependencies, one line before fifty. Supports intensity levels: lite, full (default), ultra. Use on ANY coding task: writing, adding, refactoring, fixing, reviewing, or designing code, and choosing libraries or dependencies. Also use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni", "do less", or "shortest path", or complains about over-engineering, bloat, boilerplate, or unnecessary dependencies. Do NOT use for non-coding requests (general knowledge, prose, translation, summaries, recipes).
Also in 3 projects that use this
GoogleSkillgrill-me
A relentless interview to sharpen a plan or design.
Also in 3 projects that use this
Other versions18 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 18
- fossasia/visdom★ 10ksame name
- podman-desktop/podman-desktop★ 8.1ksame name
- silvertakana/worldwideview★ 1.9ksame name
- marmelab/atomic-crm★ 1.4ksame name
- alinaqi/maggy★ 711same name
- alinaqi/claude-bootstrap★ 708same name
- Community-Access/accessibility-agents★ 409same name
- chongdashu/vibejam-starter-pack★ 147same name
- TangleML/tangle-ui★ 104same name
- navikt/copilot★ 61same name
8 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 repository7 other files it gives its agents.
- AGENTS.mdAGENTS.md
- element-backwards-compatSkill
- element-runtime-assetsSkill
- element-validationSkill
- express-request-validationSkill
- groups-and-teamsSkill
- trpcSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 17 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 17 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.
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.

