runtime-debug
Debug and verification workflow for runtime-bundle and module-resolution regressions. Use when diagnosing unexpected module inclusions, bundle size regressions, or CI failures related to NEXT_SKIP_ISOLATE, nft.json traces, or runtime bundle selection (module.compiled.js). Covers CI env mirroring, full stack traces via __NEXT_SHOW_IGNORE_LISTED, route trace inspection, and webpack stats diffing.
seaborn
Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.
scikit-learn
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
statistical-analysis
Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research.
aeon
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
qa-test-planner
Generate comprehensive test plans, manual test cases, regression test suites, and bug reports for QA engineers. Includes Figma MCP integration for design validation.
ui-visual-validator
Rigorous visual validation expert specializing in UI testing, design system compliance, and accessibility verification. Masters screenshot analysis, visual regression testing, and component validation. Use PROACTIVELY to verify UI modifications have achieved their intended goals through comprehensive visual analysis.
scikit-learn
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
aeon
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
javascript-testing-expert
Expert-level JavaScript testing skill focused on writing high-quality tests that find bugs, serve as documentation, and prevent regressions. Advocates for property-based testing with fast-check and protects against indeterministic code in tests. Does not cover black-box e2e testing.
differential-review
Performs security-focused differential review of code changes (PRs, commits, diffs). Adapts analysis depth to codebase size, uses git history for context, calculates blast radius, checks test coverage, and generates comprehensive markdown reports. Automatically detects and prevents security regressions.
ispc-lit-tests
Best practices for creating ISPC lit tests. Use when writing regression tests, verifying code generation, or checking compiler diagnostics.
reproduce-reduce-regress
Systematic workflow for debugging by reproducing bugs with real data, reducing test cases to minimal examples, and adding regression tests
perf-optimizer
Systematic performance optimization and regression debugging for OneKey mobile app (iOS). Use when: (1) Fixing performance regressions - when metrics like tokensStartMs, tokensSpanMs, or functionCallCount have regressed and need to be brought back to normal levels, (2) Improving baseline performance - when there's a need to optimize cold start time or reduce function call overhead, (3) User requests performance optimization/improvement/debugging for the app's startup or home screen refresh flow.
web-qa-bot
AI-powered automated QA for web apps. Smoke tests, accessibility, visual regression. Works with Cursor, Claude, ChatGPT, Copilot. Vibe-coding ready.
tracking-regression-tests
This skill enables Claude to track and run regression tests, ensuring new changes don't break existing functionality. It is triggered when the user asks to "track regression", "run regression tests", or uses the shortcut "reg". The skill helps in maintaining code stability by identifying critical tests, automating their execution, and analyzing the impact of changes. It also provides insights into test history and identifies flaky tests. The skill uses the `regression-test-tracker` plugin.
detecting-performance-regressions
Automatically detect performance regressions in CI/CD pipelines by comparing metrics against baselines. Use when validating builds or analyzing performance trends. Trigger with phrases like "detect performance regression", "compare performance metrics", or "analyze performance degradation".
validating-performance-budgets
This skill enables Claude to validate application performance against defined budgets. It's useful for identifying performance regressions early in the development lifecycle. The skill is triggered when the user mentions "performance budget", "validate budget", "performance regression", or requests a check against performance metrics like "page load times", "bundle sizes", "API response times", or "Lighthouse scores". The plugin validates against predefined thresholds and alerts on violations. It is especially helpful in CI/CD pipelines to prevent performance degradation in production.
testing-visual-regression
Detect visual changes in UI components using screenshot comparison. Use when detecting unintended UI changes or pixel differences. Trigger with phrases like "test visual changes", "compare screenshots", or "detect UI regressions".
regression-analysis-helper
Configure with regression analysis helper operations. Auto-activating skill for Data Analytics. Triggers on: regression analysis helper, regression analysis helper Part of the Data Analytics skill category. Use when working with regression analysis helper functionality. Trigger with phrases like "regression analysis helper", "regression helper", "regression".
performance-testing
Benchmark indicator performance with BenchmarkDotNet. Use for Series/Buffer/Stream benchmarks, regression detection, and optimization patterns. Target 1.5x Series for StreamHub, 1.2x for BufferList.
qa-regression
Automate QA regression testing with reusable test skills. Create login flows, dashboard checks, user creation, and other common test scenarios that run consistently.
textual-ui-developer
Develop and debug the MassGen Textual TUI with deterministic replay, snapshot regression tests, and targeted runtime checks.
skill-test
Testing framework for evaluating Databricks skills. Use when building test cases for skills, running skill evaluations, comparing skill versions, or creating ground truth datasets with the Generate-Review-Promote (GRP) pipeline. Triggers include "test skill", "evaluate skill", "skill regression", "ground truth", "GRP pipeline", "skill quality", and "skill metrics".
run-tests
Validate code changes by intelligently selecting and running the appropriate test suites. Use this when editing code to verify changes work correctly, run tests, validate functionality, or check for regressions. Automatically discovers affected test suites, selects the minimal set of venvs needed for validation, and handles test execution with Docker services as needed.
superpowers-tdd
Applies tests-first discipline (red/green/refactor) and adds regression tests for bugs. Use when implementing features, fixing bugs, or refactoring.
testing-guidelines
Guide for writing tests. Use when adding new functionality, fixing bugs, or when tests are needed. Emphasizes integration tests, real-world fixtures, and regression coverage.
cloudflare-worker-base
Set up Cloudflare Workers with Hono routing, Vite plugin, and Static Assets. Prevents 10 errors including export syntax, routing conflicts, Vite 8 nodejs_compat, base option regression, and cache corruption. Use when: creating Workers projects, configuring Hono/Vite, or troubleshooting export syntax, API route conflicts, HMR issues, or Vite 8+ compatibility.
axiom-metal-migration-diag
Use when ANY Metal porting issue occurs - black screen, rendering artifacts, shader errors, wrong colors, performance regressions, GPU crashes
perf-benchmarker
Use when running performance benchmarks, establishing baselines, or validating regressions with sequential runs. Enforces 60s minimum runs (30s only for binary search) and no parallel benchmarks.
skillforge
Intelligent skill router and creator. Analyzes ANY input to recommend existing skills, improve them, or create new ones. Uses deep iterative analysis with 11 thinking models, regression questioning, evolution lens, and multi-agent synthesis panel. Phase 0 triage ensures you never duplicate existing functionality.
analyze-performance
Establish performance baselines and detect regressions using flamegraph analysis. Use when optimizing performance-critical code, investigating performance issues, or before creating commits with performance-sensitive changes.
verify-email-snapshots
Snapshot test email templates using Verify to catch regressions. Validates rendered HTML output matches approved baseline. Works with MJML templates and any email renderer.
regression-test
Run regression tests for voxtype releases. Use before major releases to verify core functionality, CLI commands, and configuration handling.
BackstopJS Visual Testing
BackstopJS visual regression testing for self-hosted visual comparison
causal-inference-methods
Apply propensity score methods, instrumental variables, difference-in-differences, and regression discontinuity designs for causal identification
visual-regression-setup
Configure visual regression testing with Percy, Chromatic, or custom screenshot comparison
performance-benchmark-suite
SDK performance benchmarking and regression detection
quantitative-methods
Design and execute statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python
playwright-electron-config
Configure Playwright for comprehensive Electron application testing including E2E tests, visual regression, accessibility audits, and cross-platform test matrices
gpu-benchmarking
Expert skill for automated GPU performance benchmarking and regression detection. Design micro-benchmarks, measure kernel execution time with CUDA events, calculate achieved vs theoretical performance, generate comparison reports, detect regressions in CI/CD, and profile power/thermal characteristics.
regression-analyzer
Skill for comprehensive regression analysis and modeling
Percy Visual Testing
Percy visual testing platform integration for visual regression detection
screenshot-comparison
Visual regression testing through screenshot capture and comparison. Pixel-diff analysis, responsive screenshot capture across viewports, and visual change reporting with highlighted differences.
playwright
Playwright E2E testing, page objects, fixtures, visual regression, accessibility testing, and CI integration patterns.
performance-baseline-capturer
Capture performance baselines before migration for regression comparison and SLA verification
performance-engineering
When validating system performance under load, identifying bottlenecks through profiling, or optimizing application responsiveness. Covers load testing (k6, Locust), profiling (CPU, memory, I/O), and optimization strategies (caching, query optimization, Core Web Vitals). Use for capacity planning, regression detection, and establishing performance SLOs.
req-change-workflow
Standardize requirement or feature changes in an existing codebase (especially Chrome extensions) by turning "changing requirements / requirement changes / interaction adjustments / feature changes / refactoring flows" into a repeatable loop: clarify acceptance criteria, confirm current behavior from code, assess impact and risk, design the new logic, implement with small diffs, run a fixed regression checklist, and update docs/decision log. Use when the change process feels chaotic, when edits sprawl across files, or when changes touch manifest/service worker/OAuth/storage/UI and need reliable verification and rollback planning.