threejs-impl-shadows
Use when enabling shadows in a Three.js scene or debugging shadow artifacts like acne, peter panning, or low resolution. Prevents the common mistake of wrong…
Skills
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Updated 10-18 00:12
Testing & quality
12,270 results
absolute-init
One-time setup for absolute: interview how you want it to behave (output style, autonomy, TDD strictness, spec dir, families) + detect the stack once, then…
functional-testing
Use this skill when you need to design functional test plans or cases for business flows, UI, data, and integrations; triggers include 功能测试 and functional…
doca-bench-extension
Use this skill when the operator is authoring, building, loading, or debugging a custom doca-bench plug-in — a versioned shared library with…
prospect-panel-simulator
Simulate a panel of your real prospects and buyers to pressure-test sales and marketing before it goes out — cold emails, pitch decks, landing pages, pricing…
smoke-test-ml-pipeline
Owns one experiment's smoke test: a small pytest that fits on part of real `data/` and predicts on a disjoint slice with no pre-history buffer. Prediction count must equal predict-grid rows. TRIGGER when an approved experiment needs its smoke test, `pytest tests/smoke/` fails on row count, the user asks why the smoke test is failing, a pipeline edit needs proof, or the experiment script changes pipeline shape. STOP when `status.setup.pending` is non-empty (load `setup-ml-project`), or when there is no approved design or no matching experiment script: explain and send the user to setup or stay in `build-ml-pipeline`. A declined git is not asked again. "Why is smoke failing?" stays here. This action does not cover regression tests or CV interpretation. Do not write `skore.evaluate`. HOW TO USE: `status`, read the journal and experiment, write `tests/smoke/test_NN_*.py`, then `python -m skore_skills smoke run --stem <stem>`. Red JSON means fix the pipeline in `build-ml-pipeline`. Do not loosen the assertion.
dynamic-debugger
Interactive debugging via DAP-MCP for multiple languages with natural language commands
triton-operator-precision-eval
Triton operator precision evaluation. Compared with the PyTorch reference implementation, error metrics are automatically calculated and a standardized precision report is generated. Keywords: precision testing, precision evaluation, precision report, accuracy verification.
codeceptjs-run-analysis
Use after running CodeceptJS tests with the `aiTrace` plugin enabled and the results need review — verify a fix held, investigate a single failure, cluster…
a11y-playwright-testing
Accessibility testing for web applications using Playwright (@playwright/test), TypeScript, and axe-core. Use to write, run, or debug WCAG 2.2 AA checks,…
android
Use when working with Android devices via ADB - connecting devices, running shell commands, installing apps, debugging, taking screenshots, UI automation,…
code-review
Review or improve code — one skill, four modes: bug/security review (default), performance, clean-code audit, slop cleanup. Pass mode:review|perf|clean|cleanup…
devtu-benchmark-harness
Continuous improvement system for ToolUniverse tools, skills, and plugin. Run benchmarks, diagnose failures, route fixes to devtu skills, retest. Use after…
code-change-verification
Run the required final install, build, type, lint, test, and format checks after eligible SDK changes pass review.
application-quality-assurance
Test web applications comprehensively for quality. Performs functional, integration, and user experience testing of web applications.
visual-quality-improver
Enhance and improve image quality and visual content. Applies enhancement techniques, color correction, and optimization transformations.
testing-qa
Comprehensive testing and QA workflow covering unit testing, integration testing, E2E testing, browser automation, and quality assurance.
pentest-commands
This skill should be used when the user asks to "run pentest commands", "scan with nmap", "use metasploit exploits", "crack passwords with hydra or john",…
simulator-automation
Automate the EvenHub glasses simulator via its HTTP API. Use when testing or controlling the simulator programmatically — sending glasses input (up, down,…
test-with-simulator
Test and debug Even Hub G2 apps using the desktop simulator — launch, configure, debug, take screenshots, and understand simulator vs hardware differences. Use…
accessibility-testing
WCAG 2.2 compliance testing, screen reader validation, and inclusive design verification. Use when ensuring legal compliance (ADA, Section 508), testing for…
performance-testing
Profiles application performance under load using k6, Artillery, or JMeter to measure latency, throughput, and error rates. Use when planning load tests,…
qe-requirements-validation
Validates acceptance criteria for testability, traces requirements to test cases, and generates BDD scenarios from user stories. Use when validating acceptance…
qe-test-generation
Generates durable-first tests — invariants, contracts, and property-based tests at boundaries that survive a reimplementation — plus unit, integration, and e2e…