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Gherkin Expert

  • 43 installs
  • 70 repo stars
  • Updated July 26, 2026
  • rysweet/amplihack

Helps with ai & agent building tasks.

About

gherkin-expert is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • gherkin-expert
  • AI & Agent Building
  • AI-coding skill

Gherkin Expert by the numbers

  • 43 all-time installs (skills.sh)
  • +1 installs in the week ending Jul 26, 2026 (Skillselion tracking)
  • Ranked #7,884 of 16,556 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
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Listed on Skillselion
Installs43
repo stars70
Last updatedJuly 26, 2026
Repositoryrysweet/amplihack

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

Gherkin Expert Skill

Purpose

Provides expert-level Gherkin/BDD specification assistance for writing behavioral scenarios that clarify acceptance criteria and improve downstream code generation quality.

When This Skill Activates

  • User asks to write or review Gherkin feature files or scenarios
  • User needs help structuring complex acceptance criteria
  • User wants to translate business requirements into Given/When/Then format
  • User asks about BDD methodology or scenario design
  • User wants behavioral specifications for multi-actor or multi-step workflows
  • User mentions Cucumber, SpecFlow, or BDD frameworks
  • User is working on features with complex acceptance criteria that would benefit from structured scenarios

How It Works

This skill delegates to the gherkin-expert agent which has knowledge of:

1. Gherkin syntax and idioms — Feature/Scenario/Given/When/Then, backgrounds, scenario outlines, data tables, tags 2. BDD methodology — discovery workshops, living documentation, specification by example 3. Scenario design — single-behavior focus, declarative style, avoiding implementation details 4. Domain modeling — ubiquitous language, bounded contexts expressed through scenarios 5. AI prompt improvement — using Gherkin specs as prompt context for better code generation (empirically validated: +26% over English-only)

When Gherkin Adds Value (Judgment Call)

Gherkin is a tool, not a rule. Use judgment:

Good fit:

  • Complex multi-step behavioral requirements with many edge cases
  • Multi-actor scenarios (user does X, system responds Y, admin sees Z)
  • Business rules with combinatorial conditions (scenario outlines)
  • Acceptance criteria that stakeholders need to validate
  • Features where "what done looks like" is ambiguous in English

English is fine:

  • Simple CRUD operations with obvious behavior
  • Internal tooling with a single developer as audience
  • Config changes, styling, documentation
  • Requirements where the hard part is algorithm design, not behavior specification

Usage Examples

# Write scenarios for a feature
/gherkin-expert Write Gherkin scenarios for our user authentication flow

# Review existing scenarios
/gherkin-expert Review these acceptance criteria for completeness

# Translate requirements to BDD
/gherkin-expert Convert these business rules into Given/When/Then scenarios

# Decide if Gherkin is appropriate
/gherkin-expert Should I write Gherkin scenarios for this retry cascade feature?

# Improve scenarios
/gherkin-expert These scenarios feel too implementation-focused, help me make them declarative

Key Resources

  • Gherkin experiment results: experiments/hive_mind/gherkin_v2_recipe_executor/
  • Issue #3939: Formal specification integration roadmap
  • Gherkin reference: https://cucumber.io/docs/gherkin/reference/

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