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Found 283 Skills
Frontend full-chain performance optimization guide based on Web Vitals metrics. Provides metric thresholds, diagnostic methods, and optimization strategies for LCP, FCP, INP, CLS, TTFB, TBT. Use when optimizing frontend performance, analyzing Web Vitals, reducing page load time, fixing layout shifts, improving interaction responsiveness, or reviewing frontend code for performance issues.
Bayesian statistical modeling with PyMC v5+. Use when building probabilistic models, specifying priors, running MCMC inference, diagnosing convergence, or comparing models. Covers PyMC, ArviZ, pymc-bart, pymc-extras, nutpie, and JAX/NumPyro backends. Triggers on tasks involving: Bayesian inference, posterior sampling, hierarchical/multilevel models, GLMs, time series, Gaussian processes, BART, mixture models, prior/posterior predictive checks, MCMC diagnostics, LOO-CV, WAIC, model comparison, or causal inference with do/observe.
Run a Bayesian A/B test on conversion data using PyMC. Use when the user wants to compare two variants (landing pages, emails, pricing, UI changes) and decide which to ship using posterior probabilities and expected loss instead of p-values. Covers Beta-Binomial model, ROPE, expected loss, sample-size guidance, and ArviZ diagnostics.
Creates comprehensive GitHub Actions CI/CD workflows for linting, testing, building, and deploying. Includes caching strategies, matrix builds, artifact handling, and failure diagnostics. Use for "GitHub Actions", "CI pipeline", "workflow automation", or "continuous integration".
Guide for creating high-quality, user-friendly diagnostics in Biome. Use when implementing error messages, warnings, and code frame displays. Examples:<example>User needs to create a diagnostic for a lint rule</example><example>User wants to add helpful advice to error messages</example><example>User is improving diagnostic quality</example>
Analyzes order data and order processing in Magento 2. Use when analyzing orders, retrieving order information, assessing order processing performance, or troubleshooting order issues. Masters order lifecycle analysis, payment data inspection, and fulfillment diagnostics.
IPA guideline-compliant security diagnostic and review skill for Laravel/React applications. Use when performing security checks during code implementation or review. Diagnoses 11 vulnerability types (SQL injection, XSS, CSRF, etc.), provides safe code examples, and performs checklist-based validation. Works in conjunction with .claude/rules/security/ to provide concrete diagnostic workflows during implementation phases. Triggers when: (1) reviewing code for security vulnerabilities, (2) implementing authentication/authorization, (3) handling user input/output, (4) working with sessions/cookies, (5) processing files or executing commands, (6) creating forms or APIs, (7) performing security audits.
Evidence-based test debugging enforcing systematic root cause analysis. Use when tests are failing, pytest errors occur, test suite not passing, debugging test failures, or fixing broken tests. Prevents assumption-based fixes by enforcing proper diagnostic sequence. Works with Python (.py), JavaScript/TypeScript (.js/.ts), Go, Rust test files. Supports pytest, jest, vitest, mocha, go test, cargo test, and other frameworks.
Triage TestFlight crashes, beta feedback, and performance diagnostics using asc. Use when the user asks about TF crashes, TestFlight crash reports, beta tester feedback, app hangs, disk writes, launch diagnostics, or wants a crash summary for a build or app.
Comprehensive debugging toolkit for Gamma integration issues. Use when you need detailed diagnostics, request tracing, or systematic debugging of Gamma API problems. Trigger with phrases like "gamma debug bundle", "gamma diagnostics", "gamma trace", "gamma inspect", "gamma detailed logs".
Interactive initialization script that acts as a Plugin Architect. Generates a compliant '.claude-plugin' directory structure and `plugin.json` manifest using diagnostic questioning to ensure proper L4 patterns and Tool Connector schemas.
Expert GPU optimization for modern consumer GPUs (8-24GB VRAM). Use this skill when you need to optimize GPU training, speed up CUDA code, reduce OOM errors, tune XGBoost for GPU, migrate NumPy to CuPy, make a model faster, manage GPU memory, optimize VRAM usage, or benchmark PyTorch. Covers mixed precision, gradient checkpointing, XGBoost GPU acceleration, CuPy/cuDF migration, vectorization, torch.compile, and diagnostics. NVIDIA GPUs only. PyTorch, XGBoost, and RAPIDS frameworks.