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Qe Requirements Validation

proffesor-for-testing/agentic-qe

  • 32 installs
  • 433 repo stars
  • Updated August 4, 2026
  • proffesor-for-testing/agentic-qe

qe requirements validation is a Claude Code skill for ai & agent building.

About

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

  • qe requirements validation
  • AI & Agent Building
  • AI-coding skill

Qe Requirements Validation by the numbers

  • 32 all-time installs (skills.sh)
  • Ranked #9,101 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill qe-requirements-validation

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Listed on Skillselion
Installs32
repo stars★ 433
Last updatedAugust 4, 2026
Repositoryproffesor-for-testing/agentic-qe ↗

How do I helps with ai & agent building tasks.?

Helps with ai & agent building tasks.

Who is it for?

Best when you're working on ai & agent building and need structured help with qe requirements validation.

Skip if: Teams with no ai & agent building needs, or anyone wanting a generic chat assistant without this specific workflow.

When should I use this skill?

When you need to helps with ai & agent building tasks., or when qe requirements validation is a claude code skill for ai & agent building.

What you get

Structured output aligned to qe requirements validation: qe requirements validation, AI & Agent Building.

Files

SKILL.mdMarkdownGitHub ↗

QE Requirements Validation

Purpose

Guide the use of v3's requirements validation capabilities including acceptance criteria parsing, requirements traceability, BDD scenario generation, and coverage gap identification.

Activation

  • When validating requirements
  • When tracing requirements to tests
  • When generating BDD scenarios
  • When assessing requirements coverage
  • When reviewing acceptance criteria

Quick Start

# Parse acceptance criteria
aqe requirements parse --source jira --project MYAPP

# Build traceability matrix
aqe requirements trace --requirements reqs/ --tests tests/

# Generate BDD scenarios
aqe requirements bdd --story US-123 --output features/

# Check requirements coverage
aqe requirements coverage --sprint current

Agent Workflow

// Requirements validation
Task("Validate acceptance criteria", `
  Review acceptance criteria for sprint stories:
  - Check SMART criteria (Specific, Measurable, Achievable, Relevant, Testable)
  - Identify ambiguous requirements
  - Flag missing edge cases
  - Suggest improvements
`, "qe-acceptance-criteria")

// Traceability matrix
Task("Build traceability", `
  Create requirements traceability matrix:
  - Map user stories to test cases
  - Identify untested requirements
  - Find orphan tests (no linked requirement)
  - Calculate coverage metrics
`, "qe-traceability-builder")

Requirements Operations

1. Acceptance Criteria Validation

await acceptanceCriteria.validate({
  source: {
    type: 'jira',
    project: 'MYAPP',
    stories: 'sprint=current'
  },
  validation: {
    specific: true,
    measurable: true,
    achievable: true,
    relevant: true,
    testable: true
  },
  output: {
    score: true,
    issues: true,
    suggestions: true
  }
});

2. Traceability Matrix

await traceabilityBuilder.build({
  requirements: {
    source: 'jira',
    types: ['story', 'task', 'bug']
  },
  artifacts: {
    tests: 'tests/**/*.test.ts',
    code: 'src/**/*.ts',
    documentation: 'docs/**/*.md'
  },
  output: {
    matrix: true,
    coverage: true,
    gaps: true,
    orphans: true
  }
});

3. BDD Scenario Generation

await bddGenerator.generate({
  requirements: userStory,
  format: 'gherkin',
  scenarios: {
    happyPath: true,
    edgeCases: true,
    errorCases: true,
    dataVariations: true
  },
  output: {
    featureFile: true,
    stepDefinitions: 'skeleton'
  }
});

4. Coverage Analysis

await requirementsCoverage.analyze({
  scope: 'sprint-23',
  metrics: {
    requirementsCovered: true,
    testCasesCoverage: true,
    automationCoverage: true,
    riskAssessment: true
  },
  report: {
    summary: true,
    details: true,
    recommendations: true
  }
});

Traceability Matrix

interface TraceabilityMatrix {
  requirements: {
    id: string;
    title: string;
    type: string;
    priority: string;
    status: string;
    linkedTests: string[];
    linkedCode: string[];
    coverage: 'full' | 'partial' | 'none';
  }[];
  tests: {
    id: string;
    name: string;
    type: 'unit' | 'integration' | 'e2e';
    linkedRequirements: string[];
    automated: boolean;
  }[];
  coverage: {
    requirementsCovered: number;
    requirementsPartial: number;
    requirementsUncovered: number;
    orphanTests: number;
  };
  gaps: {
    requirement: string;
    missingCoverage: string[];
    risk: 'high' | 'medium' | 'low';
  }[];
}

BDD Integration

# Generated feature file
Feature: User Registration
  As a new user
  I want to create an account
  So that I can access the platform

  @happy-path
  Scenario: Successful registration with valid details
    Given I am on the registration page
    When I enter valid email "user@example.com"
    And I enter valid password "SecurePass123!"
    And I click the register button
    Then I should see a success message
    And I should receive a confirmation email

  @edge-case
  Scenario: Registration with existing email
    Given a user exists with email "existing@example.com"
    When I try to register with email "existing@example.com"
    Then I should see an error "Email already registered"

Requirements Quality

quality_checks:
  acceptance_criteria:
    has_given_when_then: preferred
    is_testable: required
    is_measurable: required
    no_ambiguity: required

  user_story:
    follows_template: "As a <role>, I want <feature>, so that <benefit>"
    has_acceptance_criteria: required
    estimated: preferred

  completeness:
    edge_cases_identified: required
    error_scenarios_covered: required
    non_functional_considered: preferred

Sprint Integration

await requirementsValidator.sprintReview({
  sprint: 'current',
  checks: {
    storiesComplete: true,
    criteriaValidated: true,
    testsLinked: true,
    coverageAdequate: true
  },
  gates: {
    minCoverage: 80,
    maxUntested: 2,
    requireDemo: true
  }
});

Coordination

Primary Agents: qe-acceptance-criteria, qe-traceability-builder, qe-bdd-specialist Coordinator: qe-requirements-coordinator Related Skills: qe-test-generation, qe-quality-assessment

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FAQ

What does qe requirements validation do?

qe requirements validation is a Claude Code skill for ai & agent building.

When should I use qe requirements validation?

When you need to helps with ai & agent building tasks., or when qe requirements validation is a claude code skill for ai & agent building.

What are the main capabilities?

qe requirements validation; AI & Agent Building; AI-coding skill.

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