Skill UI

This comprehensive skill provides a systematic framework for performing deep security assessments on iOS applications. It covers static analysis of IPA packages, dynamic instrumentation using Frida and Objection, SSL pinning bypass for traffic interception, extraction and auditing of sensitive data from the Keychain, and runtime method hooking. Use this for authorized penetration testing against standards like OWASP MASTG.

Controls BrowserWing-based browsers via HTTP endpoints to navigate pages, interact with elements (click/type/select), capture accessibility snapshots, run JavaScript, take screenshots, and execute batch sequences for data extraction workflows.

This script provides a lightweight, standalone Python integration for Google Sheets, offering full read and write access without needing a dedicated server. Users can retrieve spreadsheet data in multiple formats (plain text, CSV, JSON), extract specific ranges, find sheets via search queries, and perform advanced write operations like updating, appending, or clearing cell values. It is highly suitable for automating data reporting, extraction, and workflow integrations involving Google Workspace.

Python library for digital pathology whole slide images: tissue detection, tile extraction, filters, and stain normalization. Ideal for preparing H&E datasets for deep learning and quick tile-based analysis.

This comprehensive guide details advanced techniques for optimizing Bright Data API scraping performance. It covers implementing connection pooling, robust response caching layers (LRU Cache), and managing concurrent requests with backpressure control. Use this when facing slow API responses or requiring high-throughput, scalable data extraction.

This reference architecture provides a blueprint for integrating Fathom meeting intelligence data into enterprise systems. It details the full data pipeline, spanning from initial Fathom recordings via webhooks to structured storage (PostgreSQL), action item extraction, and downstream synchronization with CRMs (like Salesforce/HubSpot) and email systems. Ideal for developers building automated, real-time business process workflows.

This comprehensive guide diagnoses and fixes common Clari API errors, including 401 Unauthorized, empty exports, job timeouts, and data mismatches. It provides step-by-step solutions for debugging data extraction and forecasting issues using API calls.

This skill provides blueprints for deploying Clari data export pipelines into robust, production-grade cloud environments. It guides users on setting up reliable, scheduled, and serverless data syncs using major platforms like Airflow DAGs, AWS Lambda, and Google Cloud Functions. Ideal for automating revenue forecasting and business intelligence data extraction.

Learn production-grade, scalable architectural patterns for building robust scraping systems using Apify. This guide details structures for standalone scrapers, complex multi-stage pipelines (Discover, Scrape, Transform), and integrating Apify into full-stack applications for powerful data extraction.

This reference architecture provides a comprehensive blueprint for building a robust revenue intelligence data platform integrated with Clari. It covers the entire data lifecycle, including API data extraction (ETL pipeline), data warehousing design (Snowflake/BQ), change detection logic, and advanced analytics/alerting layers. Use this guide when designing a scalable forecast tracking system, planning complex data integrations, or establishing best practices for enterprise revenue analytics.

This advanced workflow provides comprehensive control over Notion's content structure. Use it to recursively read nested block trees, append diverse block types (headings, lists, code blocks, callouts), and apply rich text formatting (e.g., bold, link, mention). Ideal for automating complex content creation and data extraction from Notion pages.

A comprehensive tool for interacting with Notion via its API. It allows users to perform workspace-wide searches, run complex queries against structured databases using compound filters (AND/OR), retrieve specific pages, and deeply traverse and extract all nested block content. Supports pagination for handling large datasets, enabling full data visibility and structured data extraction.