agentic-eval
Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality
verify
Verifies code changes by running tests and generation scripts
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.
hypothesis-generation
Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop predictions, propose mechanisms, for scientific inquiry across domains.
senior-qa
Comprehensive QA and testing skill for quality assurance, test automation, and testing strategies for ReactJS, NextJS, NodeJS applications. Includes test suite generation, coverage analysis, E2E testing setup, and quality metrics. Use when designing test strategies, writing test cases, implementing test automation, performing manual testing, or analyzing test coverage.
ux-researcher-designer
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.
evaluating-code-models
Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality. Industry standard from BigCode Project used by HuggingFace leaderboards.
pypict-skill
Pairwise test 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.
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.
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.
add-api
Add new C# APIs to SkiaSharp by wrapping Skia C++ functionality. Structured 6-phase workflow: C++ analysis → C API creation → submodule commits → binding generation → C# wrapper → testing. Triggers: - Issue classified as "New API" (after fetching and classification) - Direct request: "add DrawFoo method", "expose SkSurface::draw", "wrap sk_foo_bar" - Keywords: "add API", "expose function", "wrap method", "create binding for"
ispc-lit-tests
Best practices for creating ISPC lit tests. Use when writing regression tests, verifying code generation, or checking compiler diagnostics.
muapi-platform
Setup and utility scripts for muapi.ai — configure API keys, test connectivity, and poll for async generation results
test-cases
This skill should be used when generating comprehensive test cases from PRD documents or user requirements. Triggers when users request test case generation, QA planning, test scenario creation, or need structured test documentation. Produces detailed test cases covering functional, edge case, error handling, and state transition scenarios.
tdd-guide
Test-driven development workflow with test generation, coverage analysis, and multi-framework support
ux-researcher-designer
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.
acquiring-skills
Guide for safely discovering and installing skills from external repositories. Use when a user asks for something where a specialized skill likely exists (browser testing, PDF processing, document generation, etc.) and you want to bootstrap your understanding rather than starting from scratch.
analyzing-test-coverage
This skill analyzes code coverage metrics to identify untested code and generate comprehensive coverage reports. It is triggered when the user requests analysis of code coverage, identification of coverage gaps, or generation of coverage reports. The skill is best used to improve code quality by ensuring adequate test coverage and identifying areas for improvement. Use trigger terms like "analyze coverage", "code coverage report", "untested code", or the shortcut "cov".
generating-test-doubles
This skill uses the test-doubles-generator plugin to automatically create mocks, stubs, spies, and fakes for unit testing. It analyzes dependencies in the code and generates appropriate test doubles based on the chosen testing framework, such as Jest, Sinon, or others. Use this skill when you need to generate test doubles, mocks, stubs, spies, or fakes to isolate units of code during testing. Trigger this skill by requesting test double generation or using the `/gen-doubles` or `/gd` command.
windsurf-test-generation
Generate comprehensive test suites using Cascade. Activate when users mention "generate tests", "test coverage", "write unit tests", "create test suite", or "tdd assistance". Handles AI-powered test generation. Use when writing or running tests. Trigger with phrases like "windsurf test generation", "windsurf generation", "windsurf".
automating-api-testing
This skill automates API endpoint testing, including request generation, validation, and comprehensive test coverage for REST and GraphQL APIs. It is used when the user requests API testing, contract testing, or validation against OpenAPI specifications. The skill analyzes API endpoints and generates test suites covering CRUD operations, authentication flows, and security aspects. It also validates response status codes, headers, and body structure. Use this skill when the user mentions "API testing", "REST API tests", "GraphQL API tests", "contract tests", or "OpenAPI validation".
managing-database-testing
This skill manages database testing by generating test data, wrapping tests in transactions, and validating database schemas. It is used to create robust and reliable database interactions. Claude uses this skill when the user requests database testing utilities, including test data generation, transaction management, schema validation, or migration testing. Trigger this skill by mentioning "database testing," "test data factories," "transaction rollback," "schema validation," or using the `/db-test` or `/dbt` commands.
klingai-hello-world
Create your first Kling AI video generation with a simple example. Use when learning Kling AI or testing your setup. Trigger with phrases like 'kling ai hello world', 'first kling ai video', 'klingai quickstart', 'test klingai'.
Run Tests
Run pgschema automated tests (go test) to validate diff logic, plan generation, and dump functionality using test fixtures
playwright-local
Build browser automation and web scraping with Playwright on your local machine. Prevents 10 documented errors including CI timeout hangs, extension testing failures, and Ubuntu compatibility issues. Includes stealth mode for anti-bot bypass, authenticated sessions, infinite scroll handling, screenshot/PDF generation, and v1.57 Speedboard performance analysis. Use when: automating browsers, scraping protected sites, testing with real IPs, bypassing bot detection, generating screenshots/PDFs, or troubleshooting "target closed", "page.pause() hangs CI", "permission prompts block tests", or "Ubuntu 25.10 installation" errors.
angular-tooling
Use Angular CLI and development tools effectively in Angular v20+ projects. Use for project setup, code generation, building, testing, and configuration. Triggers on creating new projects, generating components/services/modules, configuring builds, running tests, or optimizing production builds. Don't use for Nx workspace commands, custom Webpack configurations, or non-Angular CLI build systems like Vite standalone or esbuild direct usage.
hypothesis-generation
Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop predictions, propose mechanisms, for scientific inquiry across domains.
test-data-generation
Synthetic test data generation and management using Faker.js and similar tools. Generate realistic test data, create data factories, implement database seeding, and manage test data anonymization.
hardhat-framework
Expert use of Hardhat for smart contract development, testing, and deployment. Includes TypeChain generation, the plugin ecosystem, network forking, and deployment management.
sox-control-tester
SOX Section 404 control testing skill with workpaper generation and deficiency classification
test-case-generator
Generate comprehensive test cases including edge cases, stress tests, and counter-examples for algorithm correctness verification. Supports random generation, constraint-based generation, and brute-force oracle comparison.
software-vv-test-generator
Medical device software verification and validation test case generation skill
solana-dev
End-to-end Solana development playbook (Jan 2026). Prefer Solana Foundation framework-kit (@solana/client + @solana/react-hooks) for React/Next.js UI. Prefer @solana/kit for all new client/RPC/transaction code. When legacy dependencies require web3.js, isolate it behind @solana/web3-compat (or @solana/web3.js as a true legacy fallback). Covers wallet-standard-first connection (incl. ConnectorKit), Anchor/Pinocchio programs, Codama-based client generation, LiteSVM/Mollusk/Surfpool testing, and security checklists.
evaluating-code-models
Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality. Industry standard from BigCode Project used by HuggingFace leaderboards.
Zephyr Test Generation
Workflow for generating or updating Zephyr Scale Test Cases from requirements.
proof-of-work
Proof artifact generation patterns for task validation. Covers screenshots, test results, deployments, and confidence scoring.
Test Data Management
Strategic test data generation, management, and privacy compliance. Use when creating test data, handling PII, ensuring GDPR/CCPA compliance, or scaling data generation for realistic testing scenarios.
QE Test Generation
AI-powered test generation using pattern recognition, code analysis, and intelligent test synthesis for comprehensive test coverage.
qe-test-data-management
Strategic test data generation, management, and privacy compliance. Use when creating test data, handling PII, ensuring GDPR/CCPA compliance, or scaling data generation for realistic testing scenarios.
qcsd-refinement-swarm
QCSD Refinement phase swarm for Sprint Refinement sessions using SFDIPOT product factors, BDD scenario generation, and requirements validation.
sfdipot-product-factors
James Bach's HTSM Product Factors (SFDIPOT) analysis for comprehensive test strategy generation. Use when analyzing requirements, epics, or user stories to generate prioritized test ideas across Structure, Function, Data, Interfaces, Platform, Operations, and Time dimensions.
browser-automation
Non-testing browser automation - web scraping, form filling, screenshot capture, PDF generation, workflow automation. For TESTING with Playwright, use e2e-playwright skill instead. Activates for web scraping, form automation, screenshot, PDF, headless browser, Puppeteer, Selenium, automation scripts, data extraction.
makefile-generation
Generate language-specific Makefiles with testing, linting, and automation targets. Use for project initialization and workflow standardization. Skip if Makefile exists.
wp-test-analyzer
Analyze WordPress theme PHP files to extract testable elements for E2E test generation.
testing
Automated test generation, review, and execution for pytest-based projects.
mit-exam-generator
Generate rigorous MIT PhD-level qualifying examinations from Markdown/Obsidian notes. This skill should be used when users request quiz creation, exam generation, assessment materials, practice questions, or study guides. Triggers on "create quiz", "generate exam", "make practice questions", "assessment", "test me on", or any request for educational testing materials from source content.
testing-with-api-mocks
Start here for all API mocking in tests. Covers auto-generation, fixtures, and when to use other skills. Required reading before creating, refactoring, or modifying any test involving API calls.