Skill UI

Read-only diagnosis for OpenViking memory issues: trace backward from a memory file to its archive memory_diff.json, then to session messages when needed. Use it for incorrect content, wrong paths or owners, missing memories, and unexplained updates or deletes.

Audit and fix a site's readiness for AI browsing agents: the Lighthouse Agentic Browsing fraction, accessibility tree, robots.txt and Content-Signal, WAF treatment of agent traffic, llms.txt, Markdown delivery, ai-catalog.json, /.well-known files and WebMCP tools.

Cross-references C# Web API controllers, DTOs and routes against their TypeScript/JavaScript consumers to detect contract drift in both directions before merge, catching renamed or removed JSON keys, new required parameters, and unhandled status codes.

This skill enables deterministic programmatic PDF operations including text and table extraction, merging and splitting pages, filling form fields, and generating new PDFs from JSON data. It utilizes libraries like pypdf, pdfplumber, and reportlab to handle structured PDF work efficiently. Ideal for automating document processing tasks such as report analysis, form completion, and document consolidation within a Python environment.

Review Protocol Buffer and gRPC API changes to ensure wire and JSON compatibility. This skill covers safe schema evolution, identifying rollout hazards, and maintaining RPC contract quality. It is used when reviewing proto diffs, modifying messages and services, planning migrations, or diagnosing cross-version failures in distributed systems.

ADHX provides a dedicated API to fetch X/Twitter posts as clean, structured JSON. It extracts comprehensive data, including author profiles, engagement metrics (likes, retweets), and full article content for long-form posts. This method is vastly superior to traditional scraping techniques, making it ideal for LLM analysis, summarization, and structured data workflows.

This skill focuses on designing tools for AI agents to interact with the world effectively. It covers schema design, JSON Schema best practices, error handling, and description writing to optimize LLM performance. Key aspects include validation, the emerging MCP standard, and understanding that tool descriptions are crucial for agent functionality.

A comprehensive design specification detailing 98 rules for building Command Line Interface (CLI) tools that are safe, reliable, and easily consumable by AI agents. It covers structured JSON output formats, standardized error handling (to stderr), robust input contracts, safety guardrails (e.g., preventing path traversal), and tiered compliance levels (Agent-Friendly, Agent-Ready, Agent-Native) for seamless integration into AI workflows.

This skill automates end-to-end (E2E) functional testing for Android applications. It parses an XML specification defining a multi-step user 'journey.' The executor sequentially performs interactive UI actions (taps, swipes, text input) using ADB commands and verifies application states through assertions. It outputs a detailed, standardized JSON report, making it ideal for robust CI/CD integration and quality assurance.

Convert existing software into reusable serverless applications for the Apify platform, using the Apify SDK to wrap code as Actors that accept JSON input and produce structured output.

Scrape reviews, ratings, and brand mentions from Google Maps, Booking, TripAdvisor, Facebook, Instagram, YouTube, and TikTok using Apify Actors. Guides actor selection, runs monitoring scripts, and exports sentiment data as CSV or JSON.

Use Apify Actors to scrape and compare competitor data across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok. Benchmarks reviews, pricing, ads, content, and audience metrics, then summarizes positioning insights with CSV or JSON exports.