uniffy-e2e-flows
Skill68 starsChanged 3 days agoLicence not identifiedView on GitHub
Run disciplined end-to-end flows against the live Uniffy app through the project's Playwright MCP infrastructure. Covers authentication, content creation across domains, and the full permission and sharing model, including verification as a second user. Use when asked to test auth, login, permissions, sharing, access control, creation or CRUD, smoke-test the app, exercise each domain, or run a create-and-share flow. Use `uniffy-playwright` instead for a one-off browser inspection or single-bug reproduction. Skip for unit or integration tests, backend-only work, or when the dev stack is not running and the user has not asked to start it.
We split this skill into the rules it gives an agent
9 rules. About 0 are common, 6 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
3
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 an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
In this repository14 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .agents/rules/agents.mdAGENTS.md
- commitSkill
- create-prdSkill
- executeSkill
- frontend-designSkill
- model-catalog-auditSkill
- plan-featureSkill
- prSkill
- review-changesSkill
- uniffy-issueSkill
- uniffy-permission-matrix-testSkill
- uniffy-playwrightSkill
- uniffy-release-notesSkill
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.

