Complete feature development lifecycle from task selection through commit. Orchestrates component design, build loops with browser testing, PostHog analytics, and documentation updates. Use when building any new feature or enhancement.
Use to design test strategies and create test specifications. Documents testing approaches for stories.
This skill should be used when executing plan tasks autonomously, implementing features using TDD, running the red-green-refactor cycle, handling code review loops, or dealing with blocked tasks. Provides the autonomous TDD execution workflow.
This skill should be used when users want to create new UIs, improve existing UIs, compare UI variations (A/B testing), or build component libraries. Combines visual design principles with code implementation (React/Vue) and Playwright-based evaluation to objectively assess UI quality through accessibility audits, performance metrics, and visual regression testing. Use when tasks involve UI design, component creation, accessibility testing, or design system development.
Guide for writing high-quality acceptance criteria and acceptance tests using industry-standard BDD (Behavior-Driven Development) and ATDD (Acceptance Test-Driven Development) practices. Use this skill when creating acceptance criteria for user stories, writing Gherkin scenarios, or implementing acceptance test specifications following Given-When-Then format.
Testing and validation specialist - handles test suite execution, mobile UX validation, accessibility checks, and pre-deployment QA.
Automates the creation of behavior-driven, fail-first feature tests for user-facing behaviors. Works across any language or framework. Use when features lack behavioral tests, implementing fail-first TDD, ensuring user-facing functionality has comprehensive test coverage, or when the user mentions BDD, feature tests, or user behavior testing.
Write strategic, minimal tests focused on critical user flows and core functionality. Use this skill when deciding which tests to write during feature development. Use this skill when writing unit tests, integration tests, or end-to-end tests. Use this skill when testing critical user workflows and primary business logic. Use this skill when determining whether to defer edge case or validation testing. Use this skill when creating test files with clear, descriptive test names. Use this skill when mocking external dependencies like databases or APIs. Use this skill when ensuring tests run quickly and are focused on behavior rather than implementation.
Proactive skill for validating dbt models against coding conventions. Auto-activates when creating, reviewing, or refactoring dbt models in staging, integration, or warehouse layers. Validates naming, SQL structure, field conventions, testing coverage, and documentation. Supports project-specific convention overrides and sqlfluff integration.
Auto-invoke when reviewing schema design, database queries, ORM usage, or migrations. Enforces normalization, indexing awareness, query optimization, and migration safety.
Run comprehensive agent evaluations using YAML-defined test suites with multiple evaluator types including automated, LLM-as-judge, and human review.
AI security co-pilot for identifying, testing, and fixing vulnerabilities in LLM-powered applications. Use when: (1) Securing LLM applications or agents, (2) Generating security test suites with promptfoo, (3) Testing for prompt injection, jailbreaking, data exfiltration, (4) Hardening system prompts, (5) Compliance mapping for OWASP LLM Top 10, NIST AI RMF, CJIS, SOC2, (6) Threat modeling AI systems, (7) Analyzing security eval results, (8) Research on LLM attack/defense techniques. Triggers: "secure my LLM", "prompt injection", "jailbreak test", "AI security", "red team", "system prompt hardening", "LLM vulnerability", "promptfoo", "OWASP LLM", "AI compliance".
This skill should be used when the user asks to "create evals", "evaluate an agent", "build evaluation suite", or mentions agent testing, graders, or benchmarks. Also suggest when building coding agents, conversational agents, or research agents that need quality assurance.
Tester Agent의 심층 QA 프로세스. 커버리지 분석, Edge Case 검증, 심층 테스트, 리포트 생성의 단계를 정의합니다.
Understand authentication and authorization defects in AI-generated code including insecure password storage, broken session management, and access control bypasses. Use this skill when you need to learn about auth vulnerabilities in AI code, understand why AI suggests MD5/plaintext passwords, recognize broken session patterns, or identify access control gaps. Triggers include "auth vulnerabilities AI", "password storage AI", "session management", "broken access control", "authentication defects", "MD5 passwords", "session hijacking", "authorization bypass".
Testing patterns, 99% pass rate target, strategic skips, and E2E workflows
Comprehensive testing strategy covering test pyramids, framework selection, coverage standards, test organization, mocking patterns, and CI/CD integration. Activate when planning testing approaches, setting quality gates, or establishing test standards.
Security architecture, authentication, authorization, and compliance patterns
Unit, integration, E2E testing and TDD practices
Knowledge and patterns for designing comprehensive test strategies and writing effective tests.
Comprehensive testing framework for Brazilian fintech applications. Use when implementing LGPD compliance, Portuguese voice validation, tRPC testing, Supabase RLS validation, or 4-phase quality control methodology.
Comprehensive testing protocols, E2E patterns, and quality gate execution for the omer-akben portfolio. Use when writing tests, debugging test failures, or ensuring code quality.
