agentleFS
AsiaOstrichAsiaOstrich/universal-dev-standards/skills/bdd-assistant/SKILL.md

bdd

Skill84 starsChanged 9 days agoLicence not identifiedView on GitHub

[UDS] Reference for Behavior-Driven Development: Gherkin Given-When-Then format and Three Amigos structure. Use when: writing or reviewing .feature scenarios, choosing ubiquitous language, running a discovery conversation about behaviour. Not for: executing the BDD lifecycle or RED/GREEN automation — that moved to the adoption layer (XSPEC-095); turning .feature files into E2E skeletons — use /e2e. Keywords: BDD, Gherkin, Given When Then, feature file, scenario, Three Amigos, 行為驅動開發, 場景, 特性檔.

16 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use writing-for-agents and research.

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.
  • MicrosoftSkill

    writing-for-agents

    Writing documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md.

    Also in 3 projects that use this

  • NVIDIASkill

    research

    Before designing a feature, research how comparable libraries solve the problem, check best practices, known pitfalls, and upstream changes. Use when starting a new feature, investigating an unfamiliar area, or the user asks to research something.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 13 edited versions we read keep these.

  • 2

    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 13 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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.