Results for “jsonp”

Dispatches Jetson BSP customization by presenting a click-to-select setup questionnaire and passing prefilled answers to downstream setup skills.

Optimize PostgreSQL databases with advanced features, performance tuning, and best practices for JSONB, full-text search, window functions, and indexing.

Catalog of MariaDB JSON functions with signatures and semantics, covering constructors, extraction, modification, merging, validation, introspection, and formatting. Use when writing SQL that builds, queries, or alters JSON data in MariaDB.

Parses betting odds HTML tables with Java and Jsoup, extracting company names, odds values, and change timestamps using specific CSS selectors.

Detect, validate, and generate Schema.org structured data. JSON-LD format preferred. Use when user says "schema", "structured data", "rich results", "JSON-LD", or "markup".

Generate structured data markup (JSON-LD) for rich results, AI search visibility, and enhanced SERP features. Supports Article, FAQ, HowTo, Product, Review, LocalBusiness, Event, BreadcrumbList, Person, Organization, and more. Use when the user needs schema markup, structured data, rich snippets, JSON-LD, or wants to improve search appearance.

Detects, validates, and generates Schema.org structured data, preferring JSON-LD, with guidance on supported types and common errors.

Review PostgreSQL code for best practices, anti-patterns, and quality standards including JSONB, arrays, custom types, schema design, functions, and security features like Row Level Security.

Provides guidance on new System.Text.Json APIs introduced in .NET 11, including typed JsonTypeInfo access and PascalCase naming policy.

Generates a per-target knowledge-base markdown file by walking the BSP root and source tree, documenting image layout, source tree structure, and document references.

Add, remove, edit, list, or change the boot default of nvpmodel power modes on Jetson/Tegra platforms (Orin, Thor) by modifying the BSP-side configuration file.

GSAP Skill

Generate validated JSON-LD structured data markup for any page type

Extract typed JSON from public website pages using a schema.

Detect, validate, and generate Schema.org structured data in JSON-LD format for SEO and rich results.

jq - JSON Querying and Transformation

Convert PRDs to prd.json format for the Ralph autonomous agent system. Use when you have an existing PRD and need to convert it to Ralph's JSON format. Triggers on: convert this prd, turn this into ralph format, create prd.json from this, ralph json.

Use for writing, reviewing, debugging, or testing Python JSON serialization and deserialization with orjson, including bytes/text boundaries, datetimes, dataclasses, NumPy, custom default handlers, option flags, strictness, and web/file integration. Do not use for JSON Schema validation, format-preserving JSON edits, streaming I/O frameworks, or choosing a JSON library when orjson is not requested or present.

Expert jq usage for JSON querying, filtering, transformation, and pipeline integration. Practical patterns for real shell workflows.

Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections for visual canvases, mind maps, and flowcharts.

Implementa e valida dados estruturados schema.org em JSON-LD — Organization, Article, FAQPage, Product, BreadcrumbList. Use quando o usuário disser "schema", "dados estruturados", "JSON-LD", "rich snippet", "FAQ schema", "schema.org".

Expert-level PostgreSQL database administration, advanced queries, performance tuning, and production operations

Query, filter, transform, and aggregate JSON data using jq in shell pipelines and scripts.

Create hand-drawn style diagrams using Excalidraw JSON format. Generate .excalidraw files for architecture diagrams, flowcharts, sequence diagrams, concept maps, and more. Files can be opened at excalidraw.com or uploaded for shareable links.

Expert jq usage for JSON querying, filtering, transformation, and pipeline integration. Practical patterns for real shell workflows.

JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.

Expert jq usage for JSON querying, filtering, transformation, and pipeline integration. Practical patterns for real shell workflows.

Implement, audit, and validate JSON-LD structured data to earn rich results in Google and improve AI search visibility.

Converts existing PRDs into the prd.json format used by the Ralph autonomous agent system, including splitting large features into right-sized stories and creating a progress file.

Provides multi-language code navigation via persistent LSP daemons, supporting definitions, references, hover, symbols, and diagnostics for Python, TypeScript, Rust, Go, and more.

Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.

Guides front-end JavaScript reverse engineering through a structured observe-capture-rebuild workflow using js-reverse MCP tools and optional jshookmcp for browser automation, CDP debugging, and runtime hooking.

Expert jq usage for JSON querying, filtering, transformation, and pipeline integration. Practical patterns for real shell workflows.

Query, filter, transform, and aggregate JSON data using jq, with practical patterns for shell pipelines and CLI integration.