GitHub
testing
When creating tests and using tests for testing of application operation
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Skills IA blockchain testing
Découvrez les skills blockchain testing, comparez leurs dépôts et consultez leurs instructions.
Catégories: blockchain testing
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GitHub
analyzing-test-coverage
Creates and analyzes tests using Vitest and MSW patterns. Generates test builders, mocks repositories, and configures integration tests. Triggers on: write tests, test coverage, Vitest, MSW mock, vi.fn, vi.mock...
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GitHub
preflight-checks
Comprehensive code quality verification system for running type checking, linting, and tests. Use when validating code quality, preparing commits, running CI checks locally, or when the user mentions preflight,...
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GitHub
tecton
Run Tecton plan and tests via Pants in the data-science repo. Handles long-running commands with proper output capture to avoid truncation.
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GitHub
valid-skill
A valid test skill for unit testing
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GitHub
unity-playmode-testing
Supports Unity Play Mode control, input simulation, UI automation, and visual verification. Integrates test execution, screenshot/video capture, and console log checking. Use when: starting Play Mode, input sim...
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GitHub
testing-assistant
Manages testing lifecycle including unit tests, integration tests, validation, and quality assurance.
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GitHub
testing-builder
Automatically generates comprehensive test suites (unit, integration, E2E) based on code and past testing patterns. Use when user says "write tests", "test this", "add coverage", or after fixing bugs to create...
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GitHub
code-reviewer
Automated code review with best practices, security checks, and quality standards.
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GitHub
api-tester
Quick API endpoint testing with comprehensive request/response validation.
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GitHub
pattern-detector
Detect design patterns and anti-patterns in code with recommendations.
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GitHub
browser-use
Browser automation using Playwright MCP. Navigate websites, fill forms, click elements, take screenshots, and extract data. Use when tasks require web browsing, form submission, web scraping, UI testing, or any...
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GitHub
mock-server
Create and manage mock API servers for development and testing.
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GitHub
seed-data-generator
Generate realistic test data for database development, testing, and demos.
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GitHub
test-generator
Generate unit tests based on existing code patterns and testing frameworks.
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GitHub
hypothesis
Use Hypothesis for property-based testing to automatically generate comprehensive test cases, find edge cases, and write more robust tests with minimal example shrinking. Includes Polars parametric testing inte...
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GitHub
syrupy
Use syrupy for pytest snapshot testing to ensure the immutability of computed results, manage snapshots, customize serialization, and handle complex data structures with built-in matchers and filters.
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GitHub
e2e-test-design
Design E2E tests following user-story-driven patterns with verification checkpoints. Use when creating end-to-end tests, validating complete user journeys, or designing Playwright/Cypress test patterns.
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GitHub
performance-test-planning
Design performance test strategies including load profiles, capacity planning, SLA validation, and .NET performance testing with NBomber and k6.
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GitHub
test-case-design
Apply systematic test case design techniques including equivalence partitioning, boundary value analysis, decision tables, and state transition testing.
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GitHub
test-suite-setup
Set up test validation commands for any project type. Use when configuring test runners, setting up validation commands for a new project, or enabling closed-loop agent workflows.
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GitHub
test-strategy-planning
Create comprehensive test strategy documents following IEEE 829 structure. Plan test approach, scope, resources, and success criteria for software projects.
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GitHub
automation-strategy
Plan test automation strategies including ROI analysis, automation candidate selection, framework evaluation, and maintainable automation architecture.
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GitHub
acceptance-criteria-authoring
Write clear, testable acceptance criteria in Given-When-Then format following INVEST principles and BDD best practices.
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Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.