3.4K skills · sorted by relevance
Generate PDF documents from JSON definitions with headings, tables, images, and page numbers. Use file, in-memory, or streaming output, and extend document layouts with custom components and externally managed application state.
Define the structure and available components for AI-generated JSON screens or videos. Build generation prompts, process incremental updates, connect values to application state, and validate or repair definitions before passing them to a renderer.
Build TanStack Start pages from JSON specifications. This skill connects URL routes, shared layouts, server-side data loading, page metadata such as titles, and client navigation, including loading, error, and missing-page displays.
Create structured Slack replies with sections, tables, buttons, and selection menus so people can review results and choose next steps. Also author and validate Block Kit JSON, Slack's format for rich app interfaces.
Review JavaScript JSON parsing for malformed input and unexpected data structures. Add error handling and validate parsed data before use, helping prevent failures when reading API responses, browser storage, or user-provided content.
Turn slide content stored in JSON, a structured data format, into editable .pptx presentations with text, images, charts, and tables. Apply layouts, styles, or templates, validate the results, and process multiple input files in batches.
Inspect JSON files or API responses with jq and produce a compact map of keys and value types. Use the result to understand nested data before writing queries or processing the full dataset.
Create, edit, and check mirrord.json files that connect a local application to Kubernetes. The skill produces minimal configurations, validates their structure and allowed settings, and explains problems with environment variables, files, and network behavior.
Generate model responses in defined formats for data extraction and classification. Use JSON schemas, Pydantic data models, regular expressions, or fixed choices to produce structured results that other programs can parse and validate.
Control local language model output with patterns and grammar rules to generate structured JSON, formatted dates, and fixed classification labels. The skill also covers reusable Python functions and workflows that combine multiple generation steps.
Monitor RSS feeds, JSON APIs, and GitHub activity at regular intervals. Included scripts track previously seen item IDs and output only new entries, letting an agent report updates while staying silent when nothing has changed.
Retrieve the top 30 stories from the Hacker News front page as JSON, a structured data format. Each entry includes its rank, title, link, points, and comment count for reviewing stories and their engagement.
Extract information from web pages through Aside using existing signed-in sessions. Collect lists, tables, prices, or links and receive one JSON document, a structured data format, without changing the page.
Create output schemas, definitions of result fields and display settings, for an Apify Actor by inspecting its source code. Generate dataset and output files, add key-value storage definitions when needed, and update actor.json to reference them.
Receive selected Google Workspace events and stream them as NDJSON, a format with one JSON record per line. Choose event types, use an existing subscription, or save each event to a separate file.
Convert an existing product requirements document into Ralph’s prd.json format. Break large features into small implementation tasks, order them by dependencies, and define checkable completion criteria so Ralph can work through them in sequence.
Audit website structured data, the markup that describes businesses and content to machines. Detect errors and missing details, then generate JSON-LD code and a report with recommendations for improving AI readability.
Use Gemini CLI for single-request answers, text generation, and summaries of supplied file content. Choose a model, request JSON output, and access commands for managing extensions, skills, hooks, and MCP connections used to connect external tools.
Turn JSON or CSV data into Markdown notes using Knap templates. Apply formatting rules and conditional sections, generate files in batches, or shape web content extracted by Defuddle into a consistent note format.
Review PostgreSQL code for database design, performance, and security issues. Get improvement suggestions covering JSONB, a binary JSON format, arrays, indexes, custom data types, functions, extensions, and rules that control access to individual rows.
Detect and check structured data, machine-readable descriptions of page content, and generate suitable Schema.org JSON-LD snippets. Get a report of missing fields, syntax errors, and markup issues, plus code prepared for implementation.
Add formatting, arithmetic, text processing, and translated labels to json-render specifications. This skill explains ready-made directives, or value-processing rules, how to combine them, and how to define custom rules for application-specific transformations.
Build MCP Apps that display interactive json-render interfaces inside clients such as Claude and ChatGPT. The skill covers a Node.js server, a React view, and packaging the interface into a single HTML file.
Continue analysis after repeated tool failures by embedding known data in Python scripts run through run_shell. Save intermediate results as JSON with timestamps and source metadata, creating records that can be checked and reused in later steps.