Search Results for "test-generation" | AgentCC

policyengine-data-testing

Testing patterns for PolicyEngine data generation pipelines (policyengine-us-data, policyengine-uk-data)

pdca-framework

Human-supervised PDCA (Plan-Do-Check-Act) framework for AI-assisted code generation. Use when generating production code with AI agents to maintain quality, reduce technical debt, and keep humans engaged. Applies structured analysis, planning, test-driven development, validation, and retrospection to AI coding sessions. Essential for developers who need systematic approaches to maintain code quality and accountability when using AI code generation tools in complex codebases.

grey-haven-tdd-orchestration

Master TDD orchestration with multi-agent coordination, strict red‑green‑refactor enforcement, automated test generation, coverage tracking, and >90% coverage quality gates. Supports Claude Teams for parallel TDD workflows with plan-approval gates, or falls back to sequential subagent coordination. Coordinates tdd-python, tdd-typescript, and test-generator agents. Use when implementing features with a TDD workflow, coordinating multiple TDD agents, enforcing test-first development, orchestrating TDD teams, or when the user mentions "TDD workflow", "test-first", "TDD orchestration", "multi-agent TDD", "test coverage", or "red-green-refactor".

grey-haven-test-generation

Comprehensive test suite generation with unit tests, integration tests, edge cases, and error handling. Use when generating tests for existing code, improving coverage, or creating systematic test suites. Triggers: 'generate tests', 'add tests', 'test coverage', 'write tests for', 'create test suite'.

view_model

Build or refactor Flutter state management with the view_model package, including ViewModel/ViewModelBinding mixins, ViewModelSpec sharing, watch/read semantics, lifecycle, pause-resume, testing, and code generation.

test-cases

Use this skill to generate comprehensive test cases from PRD documents or user requirements. It is triggered when users request test case generation, QA planning, test scenario creation, or structured test documentation. Produces detailed test cases that cover functional behavior, edge cases, error handling, and state-transition scenarios.

dotnet-testing-bogus-fake-data

Specialized skill for generating realistic fake data using Bogus. Use it when you need believable names, addresses, phone numbers, emails, company info, etc. for testing. Covers Faker classes, multilingual support, custom rules, bulk generation, and more. Keywords: bogus, faker, fake data, realistic data, fake name, fake address, fake email, Faker<T>, RuleFor, Generate, faker.Name, faker.Address, faker.Internet, generate fake data, seed data

CI/CD Optimization

Comprehensive CI/CD pipeline methodology with quality gates, release automation, smoke testing, observability, and performance tracking. Use when setting up CI/CD from scratch, build time over 5 minutes, no automated quality gates, manual release process, lack of pipeline observability, or broken releases reaching production. Provides 5 quality gate categories (coverage threshold 75-80%, lint blocking, CHANGELOG validation, build verification, test pass rate), release automation with conventional commits and automatic CHANGELOG generation, 25 smoke tests across execution/consistency/structure categories, CI observability with metrics tracking and regression detection, performance optimization including native-only testing for Go cross-compilation. Validated in meta-cc with 91.7% pattern validation rate (11/12 patterns), 2.5-3.5x estimated speedup, GitHub Actions native with 70-80% transferability to GitLab CI and Jenkins.

dotnet-testing-advanced-tunit-fundamentals

Complete guide to getting started with the next-generation TUnit testing framework. Use when creating TUnit test projects or migrating from xUnit to TUnit. Covers Source Generator–driven test discovery, AOT compilation support, and fluent asynchronous assertions. Includes project creation, the [Test] attribute, lifecycle management, parallel control, and a syntax comparison with xUnit. Keywords: TUnit, tunit testing, source generator testing, AOT testing, next-generation testing framework, [Test], [Arguments], TUnit.Assertions, Assert.That, Before(Test), After(Test), NotInParallel, TUnit.Templates, Microsoft.Testing.Platform, TUnit vs xUnit, parallel execution

load-testing

Create and manage K6 load tests for REST and GraphQL APIs. Use when creating load tests, writing K6 scripts, testing API performance, debugging load test failures, or setting up performance monitoring. Covers REST endpoints, GraphQL operations, data generation, IRI handling, configuration patterns, and performance troubleshooting.

ccws

CCWS (colcon workspace) development environment for colcon-compatible packages. Use when working with ROS packages, pure CMake packages, or other colcon-compatible projects. Provides cross-compilation, testing, linting, documentation generation, and binary package creation.

Dotnet Testing - AutoFixture Basics

Basic skills for using AutoFixture to automatically generate test data. Use when you need to quickly create test objects, reduce boilerplate code, or enable anonymous testing. Covers Fixture.Create, CreateMany, handling circular references, integration with xUnit, etc. Keywords: autofixture, fixture, test data generation, anonymous testing, fixture.Create, CreateMany, fixture.Build, Create<T>, AutoFixture.Xunit2, OmitOnRecursionBehavior, IFixture, generate test data

dotnet-testing-autofixture-customization

Comprehensive guide to advanced AutoFixture customization techniques. Use when you need to customize AutoFixture builders or define test-data generation rules for special types. Covers automatic integration with DataAnnotations, implementing ISpecimenBuilder, and priority/ordering management. Includes DateTime and numeric-range builders, generic design patterns, and fluent extension methods. Keywords: autofixture customization, autofixture customize, autofixture custom, specimen builder, ISpecimenBuilder, RandomDateTimeSequenceGenerator, NumericRangeBuilder, DataAnnotations autofixture, fixture.Customizations, Insert(0), custom builder, NoSpecimen, generic builder

dotnet-testing-code-coverage-analysis

Comprehensive guide to code coverage analysis. Use when you need to analyze code coverage, generate coverage reports, or configure CI/CD coverage checks. Covers Coverlet configuration, report generation, interpreting metrics, and integration with cyclomatic complexity. Includes Fine Code Coverage, VS Code built-in tools, and best practices. Keywords: code coverage, coverage analysis, coverage report, Coverlet, Fine Code Coverage, dotnet-coverage, ReportGenerator, line coverage, branch coverage, cyclomatic complexity, runsettings, cobertura

hypothesis-generation

Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.

scientific-brainstorming

Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.

hypogenic

Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.

aps-doc-core

Core documentation generation patterns and framework for Treasure Data pipeline layers. Provides shared templates, quality validation, testing framework, and Confluence integration used by all layer-specific documentation skills.

data-seeding-fixtures-builder

patricio0312rev

Generates deterministic seed data for development and testing with factory functions, realistic fixtures, and database reset scripts. Use for "data seeding", "test fixtures", "database seeding", or "mock data generation".

chrome-devtools

Browser automation via Puppeteer CLI scripts (JSON output). Capabilities: screenshots, PDF generation, web scraping, form automation, network monitoring, performance profiling, JavaScript debugging, headless browsing. Actions: screenshot, scrape, automate, test, profile, monitor, debug browser. Keywords: Puppeteer, headless Chrome, screenshot, PDF, web scraping, form fill, click, navigate, network traffic, performance audit, Lighthouse, console logs, DOM manipulation, element selector, wait, scroll, automation script. Use when: taking screenshots, generating PDFs from web, scraping websites, automating form submissions, monitoring network requests, profiling page performance, debugging JavaScript, testing web UIs.

Unit Test Generator

patricio0312rev

Generates comprehensive unit tests using the Arrange-Act-Assert (AAA) pattern, including edge cases, error scenarios, and coverage-focused analysis. Produces test files that mirror the source/project structure with complete test suites. Use for "unit testing", "test generation", "Jest tests", or "test coverage".

test-data-factory-builder

patricio0312rev

Creates factories and builders for generating consistent, composable test data with realistic values and relationship handling. Use for test factories, test data builders, fixture factories, or test data generation.

lorcana-test-generation

Generate basic happy-path tests for Lorcana card abilities. Tests verify ability behavior only - NO property validation tests. Use when implementing or updating card tests. Effects are tested separately in the engine.

musubix-test-generation

Guide for generating test code from designs and requirements. Use this when asked to create unit tests, integration tests, or test coverage analysis following TDD/BDD practices.

test-generation

Use when generating tests for new or existing code to improve coverage - provides a structured workflow for analyzing code, creating tests, and validating coverage goals.

railstart-preset-builder

Guide for creating railstart preset configuration files. Use when building new presets, customizing Rails 8 app generation, creating team-specific configurations, or defining opinionated Rails stacks. Covers YAML structure, ID-based merging, post-action configuration, and testing presets for the railstart gem.

test-data-generation

thapaliyabikendra

Test data generation patterns using Bogus, test builders, and ABP seeders. Use when: (1) creating realistic test data, (2) implementing test data seeders, (3) building test fixtures, (4) generating fake data for development.

cargo-nextest

Next-generation test runner for Rust with parallel execution, advanced filtering, and CI integration. Use when running tests, configuring test execution, setting up CI pipelines, or optimizing test performance. Trigger terms: nextest, test runner, parallel tests, test filtering, test performance, flaky tests, CI testing.

testing-e2e

E2E testing with Playwright MCP for browser automation, test generation, and UI testing. Use when discussing E2E tests, Playwright, browser testing, UI automation, visual testing, or accessibility testing. Supports TypeScript tests and Go/HTMX web applications.

databricks-bundle-deploy

databricks-solutions

Package and deploy Databricks Asset Bundles with proper parameterization, multi-environment support, and serverless compute. Handles project structure, databricks.yml generation, validation, and deployment. Use when packaging tested code for production, deploying pipelines, or managing multi-environment deployments.

faker

When the user wants to generate realistic fake data for testing, seeding databases, or prototyping. Also use when the user mentions "faker," "fake data," "test data generation," "seed data," "mock data," "random names," or "realistic test data." For API mocking, see mockoon or wiremock.

content-collections

Production-tested setup for Content Collections - a TypeScript-first build tool that transforms local content files (Markdown/MDX) into type-safe data collections with automatic validation. Use when: building blogs, documentation sites, or content-heavy applications with Vite + React, setting up MDX content with React components, implementing type-safe content schemas with Zod, migrating from Contentlayer, or encountering TypeScript import errors with content collections. Covers: Vite plugin setup, tsconfig path aliases, collection schemas with Zod validation, MDX compilation with compileMDX, transform functions for computed properties, rehype/remark plugins, React component integration with MDXContent, Cloudflare Workers deployment, and production build optimization. Keywords: content-collections, @content-collections/core, @content-collections/vite, @content-collections/mdx, MDX, markdown, Zod schema validation, type-safe content, frontmatter, compileMDX, defineCollection, defineConfig, Vite plugin, tsconfig paths, .content-collections/generated, MDXContent component, rehype plugins, remark plugins, content schema, document transform, allPosts import, static site generation, blog setup, documentation, Cloudflare Workers static assets, content validation errors, module not found content-collections, path alias not working, MDX type errors, transform function async, collection not updating

phpunit-unit-test-writing

This skill should be used when the user asks to "write unit tests for", "generate tests for", "create PHPUnit tests", "add test coverage", "test this class", "cover this with tests", "I need tests for", "unit test this", "SW6 unit tests", "Shopware unit tests", "PHPUnit tests for Shopware", or mentions PHPUnit test generation for Shopware 6. Provides automated test generation with review-fix cycles that validate tests until they pass. Should NOT be used for integration tests, e2e tests, or non-PHP testing.

puppeteer

Automate browsers and scrape dynamic websites with Puppeteer. Use when a user asks to scrape JavaScript-rendered pages, automate browser interactions, take screenshots of web pages, generate PDFs from URLs, test web UIs, fill out forms programmatically, crawl SPAs, extract data from dynamic sites, automate login flows, or build web scrapers that need a real browser. Covers headless Chrome, page navigation, DOM interaction, network interception, screenshots, PDF generation, and stealth techniques.

hypogenic

Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses against observational data, or conducting systematic hypothesis exploration for research discovery in domains like deception detection, AI content detection, mental health analysis, or other empirical research tasks.

Python Development

Python development standards for code review and generation. Covers Python 3.12+ patterns, type hints, async/await, testing with pytest, package management with uv, AWS Lambda/boto3 patterns, and Pydantic validation. Use when working with .py files, pyproject.toml, requirements.txt, Lambda functions, or when asking about Python best practices, code review, or generation.

Google Gemini Embeddings

This skill provides complete coverage of Google Gemini embeddings API (gemini-embedding-001) for building RAG systems, semantic search, document clustering, and similarity matching. Use when implementing vector search with Google's embedding models, integrating with Cloudflare Vectorize, or building retrieval-augmented generation systems. Covers SDK usage (@google/genai), fetch-based Workers implementation, batch processing, 8 task types (RETRIEVAL_QUERY, RETRIEVAL_DOCUMENT, SEMANTIC_SIMILARITY, etc.), dimension optimization (128-3072), and cosine similarity calculations. Prevents 8+ embedding-specific errors including dimension mismatches, incorrect task types, rate limiting issues (100 RPM free tier), vector normalization mistakes, text truncation (2,048 token limit), and model version confusion. Includes production-ready RAG patterns with Cloudflare Vectorize integration, chunking strategies, and caching patterns. Token savings: ~60%. Production tested. Keywords: gemini embeddings, gemini-embedding-001, google embeddings, semantic search, RAG, vector search, document clustering, similarity search, retrieval augmented generation, vectorize integration, cloudflare vectorize embeddings, 768 dimensions, embed content gemini, batch embeddings, embeddings api, cosine similarity, vector normalization, retrieval query, retrieval document, task types, dimension mismatch, embeddings rate limit, text truncation, @google/genai

cloudflare-browser-rendering

Complete knowledge domain for Cloudflare Browser Rendering - Headless Chrome automation with Puppeteer and Playwright on Cloudflare Workers for screenshots, PDFs, web scraping, and browser automation workflows. Use when: taking screenshots, generating PDFs from HTML or URLs, web scraping content, crawling websites, browser automation tasks, testing web applications, managing browser sessions, performing batch browser operations, integrating with AI for content extraction, or encountering browser rendering errors, XPath selector errors, browser timeout issues, concurrency limits, memory exceeded errors, or "Cannot read properties of undefined (reading 'fetch')" errors. Keywords: browser rendering cloudflare, @cloudflare/puppeteer, @cloudflare/playwright, puppeteer workers, playwright workers, screenshot cloudflare, pdf generation workers, web scraping cloudflare, headless chrome workers, browser automation, puppeteer.launch, playwright.chromium.launch, browser binding, session management, puppeteer.sessions, puppeteer.connect, browser.close, browser.disconnect, XPath not supported, browser timeout, concurrency limit, keep_alive, page.screenshot, page.pdf, page.goto, page.evaluate, incognito context, session reuse, batch scraping, crawling websites

phpunit-unit-test-generation

Internal sub-skill of phpunit-unit-test-writing orchestrator. Not user-facing — invoked only via Skill(test-writing:phpunit-unit-test-generation) from the orchestrator.

pi-cli

Unified project analysis CLI tool. Supports DAG scheduling, LLM batch tasks, dependency graph construction, test analysis/repair, documentation generation, code auditing, and a Web Dashboard. Functionality is fully consistent with project-index and is recommended as the unified entry point.

clianalysistesting+4

automating-api-testing

Automate API endpoint testing including request generation, validation, and comprehensive test coverage for REST and GraphQL APIs. Use when testing API contracts, validating OpenAPI specifications, or ensuring endpoint reliability. Trigger with phrases like "test the API", "generate API tests", or "validate API contracts".

hammer-build-validate

Runs complete build validation pipeline for SDL3 HammerEngine including Debug build, smoke test execution, core test suite, and summary report generation. Use when the user wants to quickly validate their changes, check if the codebase is in a good state, or run the standard daily validation workflow.

AI Test Generation Expert

AI-powered test generation - mabl, Qodo Cover, automated coverage improvement

test-generation

Use for DEVELOPER-focused unit/integration test code with xUnit (C#) and Jest (Angular) patterns. Provides ready-to-use test templates for commands, queries, entities, and components. Best for implementing actual test code. NOT for QA test specifications (use test-generation instead).

qa-checklist

Formal Quality Assurance Checklist before every Merge/Deploy. 6-phase validation with Build Verification, Test Suite, No-Touch Zones, Region Check, Security Review, and QA Report generation. Activate on "merge", "deploy", "release", "production", or /qa command.

ux-researcher-designer

Primadetaautomation

UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use for user research, persona creation, journey mapping, and design validation.

Release Automation

Automate version bumping, changelog generation, and release preparation. Creates release PR that triggers GitHub Actions workflow for building, testing, and publishing.

create-seed-skill

Scaffold a new integration-type "seed skill" — a SKILL.md with reference assets and prompts.jsonl entries that teach an agent to generate working, testable integration code from scratch. - Use when: developer wants to create a new skill for an SDK or framework integration that agents should be able to implement and test - Ask first: Is this an integration skill (code generation + tests) or a tool skill (CLI wrapper with no tests)? Only proceed with this skill for integration-type skills.