seo-schema
Detect, validate, or generate Schema.org JSON-LD for a supplied page or entity. Use only when structured data or rich-result markup is requested.
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Find your next superpower If you are an agent, refer to our llms.txt for full access."..." for exact phrases · Try typography, debugging or spreadsheetDetect, validate, or generate Schema.org JSON-LD for a supplied page or entity. Use only when structured data or rich-result markup is requested.
Analyzes diffs and files for security flaws, code smells, inefficient queries, naming problems, and architectural concerns. Produces structured reports with prioritized, actionable feedback and refactoring suggestions.
Guides screenshot creation for App Store and Google Play listings. Covers iOS and Android dimensions, gallery ordering, device mockups, and preview videos for app store optimization.
Creates and evaluates property-based tests with Hypothesis, fast-check, proptest, jqwik, rapid, Echidna, and Medusa. Covers generators, meaningful assertions, and distinguishing incorrect properties from genuine bugs in minimized counterexamples.
Uses the execute_metadata_action MCP tool to generate Screen, Autolaunched, Record-Triggered, and Scheduled Flows. Handles requests such as updating fields after record creation or sending email when conditions are met.
Plans REST and GraphQL APIs through resource modeling, versioning, pagination, and error handling standards. Creates OpenAPI specifications to document API contracts.
Supports WhatsApp Business automation for customer support and notifications. Covers chatbots and broadcast messaging.
Provides semantic code navigation, reference and hierarchy lookup, symbol discovery, diagnostics, safe renaming, and code actions through gopls. Supports formatting and generated tests using its MCP server, native LSP integration, or CLI.
Handles complex joins, aggregations, window functions, CTEs, indexing, and query plan analysis. Supports schema migrations, query benchmarking, and SQL dialect migrations across PostgreSQL, MySQL, SQL Server, and Oracle.
Creates portrait-based talking-head videos through inference.sh using text or audio. Supports 30 voices, 10 languages, dynamic backgrounds, full-body control, and 720p or 1080p output for presenters, demos, explainers, and other avatar content.
Converts Next.js projects to vinext, a Vite-based Next.js reimplementation. Handles compatibility scanning, package replacement, Vite configuration, ESM conversion, and deployment through Cloudflare Workers or Nitro.
Configures custom objects, name fields, sharing models, and validation rules. Resolves deployment issues involving sharing and master-detail relationships and keeps object descriptions aligned with field or rule changes.
A growing collection of real, public skills. Descriptions and instructions indexed 25 Sept 2026.
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