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Found 1,777 Skills
A user-empowering data visualization Vue 3 components library for eloquent data storytelling. ALWAYS use when writing code importing "vue-data-ui". Consult for debugging, best practices, or modifying vue-data-ui, vue data ui.
MUST READ before setting up observability for ADK agents or when analyzing production traffic, debugging agent behavior, or improving agent performance. ADK observability guide — Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations, and troubleshooting. Use when configuring monitoring, tracing, or logging for agents, or when understanding how a deployed agent handles real traffic.
Vitest testing framework patterns for test setup, async testing, mocking with vi.*, snapshots, and test performance (formerly test-vitest). This skill should be used when writing or debugging Vitest tests. This skill does NOT cover TDD methodology (use test-tdd skill), API mocking with MSW (use test-msw skill), or Jest-specific APIs.
Use this skill when working on technical SEO infrastructure - crawlability, indexing, XML sitemaps, canonical URLs, robots.txt, redirect chains, rendering strategies (SSR/SSG/ISR/CSR), crawl budget optimization, and search engine rendering. Triggers on fixing indexing issues, configuring crawl directives, choosing rendering strategies for SEO, debugging Google Search Console errors, or auditing site architecture for search engines.
Expert React Native and Expo development skill for building cross-platform mobile apps. Use this skill when creating, debugging, or optimizing React Native projects - Expo setup, native modules, navigation (React Navigation, Expo Router), performance tuning (Hermes, FlatList, re-render prevention), OTA updates (EAS Update, CodePush), and bridging native iOS/Android code. Triggers on mobile app architecture, Expo config plugins, app store deployment, push notifications, and React Native CLI tasks.
Build, tune, and operate Ruff for Python linting, formatting, and editor/CI integration. Use when adding or updating Ruff configuration, migrating from Black/Flake8/isort, selecting rule families, enforcing fix safety, or debugging lint/format behavior in local development, pre-commit, and CI.
Defense-in-depth verification before declaring any task complete. Run tests, check build, validate changed files, verify no regressions. Applies 4-level adversarial artifact verification (EXISTS > SUBSTANTIVE > WIRED > DATA FLOWS) with goal-backward framing. Use before saying "done", "fixed", or "complete" on any code change. Use for "verify", "make sure it works", "check before committing", or "validate changes". Do NOT use for debugging (use systematic-debugging) or code review (use systematic-code-review).
Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics. Covers training loops, optimizer selection (AdamW, Muon), LR scheduling, mixed precision, debugging, and systematic experimentation. Use when training or fine-tuning neural networks, debugging loss spikes or OOM, choosing architectures, or optimizing GPU throughput.
Design effective Claude Code skills with optimal descriptions, progressive disclosure, and error prevention patterns. Covers freedom levels, token efficiency, and quality standards. Use when: creating new skills, improving skill descriptions, optimizing token usage, structuring skill content, or debugging why skills aren't being discovered.
Audit animation code for correct timing function selection. Use when reviewing motion implementations, debugging animations that feel wrong, or choosing between springs and easing. Outputs file:line findings.
Windows App Development CLI (winapp) for building, packaging, and deploying Windows applications. Use when asked to initialize Windows app projects, create MSIX packages, generate AppxManifest.xml, manage development certificates, add package identity for debugging, sign packages, or access Windows SDK build tools. Supports .NET, C++, Electron, Rust, Tauri, and cross-platform frameworks targeting Windows.
Sequential reasoning with deep self-reflection and backtracking. Use when problems have step-by-step dependencies, need careful logical reasoning, or require error correction. Each step includes self-reflection, and incorrect steps trigger backtracking. Ideal for debugging, mathematical proofs, sequential planning, or causal analysis where order matters.