Skill UI

This guide provides production-ready, structured code patterns for integrating with the Hootsuite REST API using TypeScript and Python. It includes type-safe API clients, timezone-aware scheduling helpers, and cross-platform content formatting utilities. Ideal for building robust, scalable social media management systems or refactoring existing SDK usage.

This skill assists developers in analyzing, planning, and executing upgrades for the Hootsuite SDK and REST API. It is essential for detecting breaking changes, managing deprecated endpoints, and facilitating code migration when Hootsuite releases new API versions (e.g., migrating from v1 to v2). Use this to ensure your social media integration remains compatible with the latest platform standards.

A comprehensive runbook for rapidly responding to Notion API incidents. It provides structured triage flows, automated health checks, and a decision tree to classify failures (Notion-side vs. integration-side). Use it for immediate diagnosis of outages, error mitigation (e.g., rate limits, token expiry), and post-incident reviews.

A comprehensive methodology for offensive security, red team intelligence gathering, and bug bounty reconnaissance. Covers domain recon, email harvesting, social media profiling, code leaks, infrastructure mapping, cryptocurrency tracing, and geospatial intelligence. Essential for building detailed attack-surface maps against organizations or individuals.

This comprehensive guide details advanced strategies for managing time-series data and data retention in vector databases (like Qdrant). It is designed for scenarios where only recent data is relevant (e.g., social media feeds, news articles). Three core methods are presented: Shard Rotation (recommended for natural time boundaries), Collection Rotation (for per-period configuration needs), and Filter-and-Delete (for simple cleanup). The guide also covers hot/cold tiering to optimize performance.

Use this skill to set up real-time monitoring of on-chain events using QuickNode Streams. It allows developers to define custom filters for specific contracts or topics (e.g., ERC-20 transfers) and automatically receive processed events via a dedicated webhook endpoint. This is ideal for building decentralized applications (dApps) that require immediate and reliable knowledge of blockchain activity.

This skill provides the comprehensive reference architecture and implementation patterns for integrating Runway's advanced AI capabilities. It focuses on guiding developers through the process of AI video generation, image-to-video conversion, and creative content creation using the dedicated Python SDK. Use this when building applications that require high-quality, generative visual media.

A comprehensive guide for rapid incident response when Shopify integrations fail or behave unexpectedly. It instructs users to triage issues by checking the status page, diagnosing API connectivity, and handling common errors like rate limits (429) or expired tokens (401). Includes decision trees, immediate mitigation steps, and communication templates.

This comprehensive runbook provides structured, step-by-step procedures for diagnosing and mitigating Webflow Data API integration failures. It guides teams through quick triage checks (status page, connectivity, rate limits) and offers specific remediation steps for common error types like Authentication (401/403), Rate Limiting (429), and Server Errors (500/502/503). Designed for rapid incident response, ensuring graceful degradation and postmortem documentation.

This module provides essential API abstractions for managing core system functionality and lifecycles. It includes the `InstallSystemUseCase` for executing system-wide installation routines and the `SystemInstalledEventHandler` for hooking into the system lifecycle immediately after successful installation. It is crucial for developers building robust, modular systems that require proper setup and event-driven logic.

Google Wire is a robust tool for managing dependency injection in Go. It resolves the application's entire dependency graph at compile time, generating plain, type-safe Go constructor calls. This approach eliminates the need for runtime reflection or heavy dependency containers, ensuring that dependency errors are caught immediately during the build process rather than during application execution. Ideal for building large, scalable, and maintainable Go microservices.

This skill assesses the AI readiness of a codebase by running a comprehensive audit against multiple technical and governance pillars. It generates a self-contained, detailed HTML dashboard that provides an overall maturity score, identifies strengths, and, most importantly, delivers a prioritized remediation plan (Fix First / Fix Next). Ideal for auditing repositories before major AI feature development.