Automates pixel-level visual regression testing using Cypress with cypress-image-snapshot plugin. Compares screenshots against baselines using pixelmatch algorithm with…
Implementation workflow for maintaining and extending the Cytology Test Result form (forms/cytology-test-result/) — editing its spec, schema, or engine, regenerating derived…
Dagger is an open-source automation engine for building, testing, and shipping any codebase. It replaces shell scripts and proprietary YAML with real code using SDKs in Go,…
Systematic dark mode testing covering color contrast, theme switching, persistence, media query respect, component-level theming, and image adaptation.
Write and organize unit tests for functions, methods, and classes using `package:test`. Use when creating new logic or fixing bugs to ensure code remains correct and…
Define and generate mock objects for external dependencies using `package:mockito` and `build_runner`.
Understand and improve test coverage in a Dart package. Helps agents run coverage, interpret results, and identify missed lines.
Core concepts and best practices for `package:test`. Covers `test`, `group`, lifecycle methods (`setUp`, `tearDown`), and configuration (`dart_test.yaml`).
Provides comprehensive darts scoring rules and board structure knowledge. Use when implementing or testing darts scoring logic, validation, simulation, or any feature related to…
Update data-cleaning-implementation skill with critical pandas patterns and testing learnings from vp-e62a
Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.
Verifying data integrity constraints, referential integrity, data type validation, and consistency checks across database operations.
Comprehensive guide to data quality validation, testing frameworks, anomaly detection, and data observability for production data pipelines
Create database seed scripts with realistic test data for development and testing. Use when setting up development environment or creating demo data.
Generates deterministic seed data for development and testing with factory functions, realistic fixtures, and database reset scripts.
Use when creating test data for scratch orgs, sandboxes, or CI pipelines: Apex @testSetup factories, sf data import tree plans, CumulusCI datasets, Snowfakery.
Use when studying, explaining, designing, reviewing, or implementing data systems concepts including stream processing, replication, partitioning, transactions, isolation,…
Validation et qualité des données dans les pipelines. Se déclenche avec "data quality", "validation des données", "data contract", "schema validation", "Great Expectation — from…
Testing database migration scripts for correctness, rollback safety, data integrity, and zero-downtime migration patterns.
Database performance testing including query optimization, index analysis, connection pooling, slow query detection, and N+1 query prevention.
Populate databases with realistic, reproducible test data for development, testing, and staging environments.
Database Test Helper - Auto-activating skill for Test Automation. Triggers on: database test helper, database test helper Part of the Test Automation skill category.
Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance.
Language-agnostic database best practices covering migrations, schema design, ORM patterns, query optimization, and testing strategies.
Daytona Electron sandbox testing with CDP/noVNC. Use when the user says test on Daytona, run Electron on Daytona, Daytona dry run, test Electron remotely, reproduce on Daytona, or…
Builds a transparent Discounted Cash Flow (DCF) valuation with a 5-10 year forecast, terminal value, Weighted Average Cost of Capital (WACC) derivation, sensitivity tables, and a…
Use when planning a new parser or lexer for a published language spec, validating parser correctness, or fuzz-testing a parser — build a Prolog DCG grammar companion alongside the…
Standards de tests exhaustifs pour les bounded contexts DDD (Domain, Application, Integration). À utiliser lors de l'écriture de tests backend, tests unitaires, tests…
DDE subordinate extension. C++ test design/execution workflow (CMake/CTest/gtest) with strict DDE write gating.
Analyze CenterTest Data-Driven Testing structure and generate a 15-sheet Excel report showing DC-to-Data relationships, code usage, test mappings, orphaned files, broken…
Data-Driven Testing tools for CenterTest — validate DC references, diff xlsx test data, report unused codes, and convert xlsx for git.
Extract, filter, annotate, and export differential expression results from DESeq2 or edgeR. Use for identifying significant genes, applying multiple testing corrections — from…
Extract, filter, annotate, and export differential expression results from DESeq2 or edgeR. Use for identifying significant genes, applying multiple testing corrections — from…
Universal PDCA debugging framework for systematic hypothesis verification. Use when debugging issues that require structured investigation, observing runtime behavior, or…
Debug and fix failing Playwright E2E tests. Use when tests fail, when asked to fix failing tests, or when investigating test failures.
Diagnoses and fixes non-deterministic test failures at root cause instead of masking them with retries — classify the flake (test-order/shared-state pollution, async timing/sleep…
Evidence-first debugging for bugs that are hard to reproduce, intermittent, performance-related, or where previous static-analysis fixes have failed.
Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification.
Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification.
Use when setting up debug logs and trace flags, reading Apex log output and log levels, running queries in the Developer Console, executing anonymous Apex, or using the Apex…
Automated PDF failure analysis and fixture generation. Takes failed PDF URLs, identifies breaking patterns, and generates minimal fixtures via fixture-tricky for regression…
Systematically diagnose unclear product behavior or root cause by building a feedback signal, testing one hypothesis at a time, and verifying the original symptom.
Debug and diagnose Thread mesh networks and OpenThread Border Routers. Use when troubleshooting Thread connectivity, analyzing Router Advertisements, testing IPv6 reachability to…
Find and connect to IONOS Cloud debugging VMs provisioned with the debug-vm tool. Use when the user wants to deploy to, test on, SSH into, or check status of their debug VMs.
Debug E2E tests by taking screenshots at key points to visually inspect application state.
Systematically debug issues with reproduction steps, error analysis, hypothesis testing, and root cause fixes.
Systematic debugging methodology - scientific method, hypothesis testing, and root cause analysis that works across all technologiesUse when "bug, debugging, not working, broken,…
Systematically investigates failing tests, distinguishes between test bugs and implementation bugs, and drives a fix with verification.
Use when the user reports a bug they can't reproduce, asks where to start debugging, or mentions a Heisenbug / production-only failure.
Deconstructs complex problems using the 'Polymath Investor' framework with a 5-step cognitive chain (First Principles → Modular Isolation → Pareto Filtering → Cross-Domai — from…
Deconstructs complex problems using the 'Polymath Investor' framework with a 5-step cognitive chain (First Principles → Modular Isolation → Pareto Filtering → Cross-Domai — from…
Multi-agent investigation for stubborn bugs. Use when: going in circles debugging, need to investigate browser/API interactions, complex bugs resisting normal debugging, or when…
The single entry point for ALL design and specification work. Use when designing, specifying, architecting, writing a spec, writing an RFC, writing a design doc, or drafting a…
Builds a rigorous test strategy with multiple test-suite variants and critical review. Use when the user asks what to test, wants adversarial coverage, or needs a stronger test…
Use when growing an already-playable Godot game along a depth axis (systemic / content / run-meta) without regressing proven behavior.
Test LLM applications with DeepEval, pytest-style unit tests for LLM outputs using G-Eval, answer relevancy, faithfulness, hallucination and custom metrics, with CI quality gates…
Configure Deepgram local development workflow with testing and mocks. Use when setting up development environment, configuring test fixtures, or establishing rapid iteration…
Builds a lawful, evidence-led criminal defence theory and action plan. Use when preparing a case strategy, testing prosecution allegations, planning motions or trial work, or…
Expert knowledge for DeFi/MEV bot development including critical pitfalls, backtesting realities, AMM mechanics, MEV extraction strategies, and production failure modes
Tests whether given facts actually satisfy the legal threshold for deficiency in service, defect in goods, or unfair trade practice, working element by element rather than…