productivity▌

Complete Shopify development expertise for themes, apps, headless storefronts, and checkout customization. \n \n Covers theme development with Liquid templating, Storefront API integration, and Online Store 2.0 architecture; includes linting and deployment via Shopify CLI \n Supports full-stack app development with OAuth, webhooks, Admin API authentication, and checkout UI extensions using TypeScript and Remix \n Provides GraphQL query patterns, metafield handling, image optimization, and perfor

Per-project plugin configuration stored in YAML frontmatter and markdown files within the .claude/ directory. \n \n Settings files use .claude/plugin-name.local.md format with YAML frontmatter for structured config and markdown body for additional context or prompts \n Hooks, commands, and agents can read settings to customize behavior; quick-exit pattern checks file existence and enabled flag to skip when not configured \n Parsing techniques provided for extracting individual fields (strings, b

Identify sponsorable open source maintainers across your project's entire dependency tree. \n \n Resolves full dependency trees (direct and transitive) across npm, PyPI, Cargo, Go, RubyGems, Maven, and NuGet using the deps.dev API \n Discovers funding links from npm metadata, FUNDING.yml files (repo and org-level), and web search; verifies every URL before reporting \n Groups dependencies by maintainer and funding destination, showing health indicators (Maintained/Partially maintained/Unmaintain

Chrome DevTools integration for debugging, performance analysis, and browser automation via MCP. \n \n Provides tools for page navigation, element inspection via snapshots, clicking, form filling, screenshot capture, and JavaScript evaluation \n Operates on a persistent Chrome profile with automatic browser startup; switch between multiple pages using list_pages and select_page \n Supports efficient workflows: navigate, wait for content, take snapshots to identify elements by uid , then interact

Update implementation plan files with new requirements for features, refactoring, or infrastructure changes. \n \n Generates machine-readable, deterministic plans structured for autonomous execution by AI agents or humans \n Enforces atomic phases with measurable completion criteria, parallel-executable tasks, and explicit file paths and function names \n Requires strict adherence to a mandatory template with front matter, requirements, implementation phases, alternatives, dependencies, affected

Deploy a paid API endpoint that other agents can discover and pay for via x402 protocol. \n \n Charges USDC per request on Base using HTTP 402 payment protocol; clients pay with signed transactions, no API keys or accounts required \n Automatically registers endpoints with the x402 Bazaar for agent discovery when you declare discovery extensions \n Supports multiple pricing tiers, wildcard routes, and multiple payment options per endpoint using Express middleware \n Built on @x402/express and @x

Evaluate design effectiveness across visual hierarchy, information architecture, emotional resonance, and user experience quality. \n \n Assesses interfaces against AI-generated design anti-patterns (color palettes, gradients, glassmorphism, generic layouts) to identify and eliminate \"AI slop\" tells \n Evaluates 10 core dimensions: visual hierarchy, information architecture, emotional resonance, discoverability, composition, typography, color strategy, state handling, microcopy, and affordance

CLI for Windows app packaging, MSIX creation, certificates, and Microsoft Store deployment across frameworks. \n \n Initializes projects with SDK setup, manifests, and development certificates; supports .NET, C++, Electron, Rust, Tauri, and cross-platform frameworks \n Creates MSIX packages with optional signing, self-contained runtime bundling, and external catalog management \n Adds temporary package identity to executables for debugging Windows APIs (notifications, Windows AI, shell integrati

Expert guidance on chart selection and data visualization design for clear data communication. \n \n Covers five core chart categories: comparison (bar/column), distribution (histograms/box plots), relationship (scatter/bubble), composition (pie/stacked bars), and trends (line/area) \n Emphasizes four foundational principles: clarity, honesty, simplicity, and accessibility for color-blind audiences \n Provides chart type recommendations with rationale, code examples using matplotlib and plotly,

Set up, audit, and improve analytics tracking to measure marketing and product decisions. \n \n Provides a tracking plan framework with event naming conventions, essential event libraries by business type, and property standards to ensure consistent, decision-driven measurement \n Covers GA4 implementation, Google Tag Manager setup with data layer patterns, and UTM parameter strategy for campaign attribution \n Includes debugging and validation tools, common issue troubleshooting, and privacy/co