Skill UI

This guide details best practices for securing Persona identity verification implementations. It covers critical security measures such as API key rotation, webhook HMAC verification, encrypting Personally Identifiable Information (PII) at rest, and maintaining comprehensive audit logs. Use this when integrating Persona into a production system requiring high data security and compliance.

This guide demonstrates how to set up a secure and robust webhook endpoint to process identity verification events from Persona. It covers essential security practices, including HMAC signature verification using TypeScript and Express, handling critical KYC lifecycle events (like inquiry approval/declination), and implementing idempotent processing to prevent data duplication. Ideal for integrating third-party identity services into a web application.

This guide demonstrates how to implement a robust webhook handler for the Podium platform. Developers can process real-time business events—including incoming customer messages, new reviews, and completed payments—by setting up event routing and ensuring idempotent processing. Essential for integrating critical communication and transaction data into a backend system.

This skill automates the critical submittal workflow within the Procore construction management platform. Users can programmatically create new submittals, defining necessary specifications, assigning reviewers, and setting due dates. It further supports updating the submittal status (e.g., approving or rejecting) and listing filtered results, ensuring systematic tracking and smooth management of the entire project review cycle.

This skill facilitates an interactive Quality Assurance (QA) session. Users can conversationally describe encountered bugs or issues. The agent clarifies the problem, explores the codebase for context and domain language, and then meticulously files durable GitHub issues. It supports both single-issue reports and breaking down complex problems into multiple, independently verifiable tickets, ensuring developers receive actionable, high-quality reports written from the user's perspective.

A comprehensive guide for diagnosing and reducing high memory consumption in Qdrant. This resource is crucial when dealing with reports of 'memory leak', 'out of memory', or excessive RAM growth. It details how Qdrant manages resident memory and OS page cache, and provides advanced techniques such as quantization, using float16/int8 data types, and strategically storing components on disk (like HNSW indexes or sparse vectors) to minimize the memory footprint and ensure stable, scalable operation.

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.

This bundle provides essential debugging and integration patterns for blockchain development using QuickNode's robust RPC endpoints and SDK. It guides developers through connecting to various chains (like Ethereum), managing connections, and handling common Web3 errors such as unauthorized access or rate limiting, ensuring smooth and reliable decentralized application development.

This guide provides a comprehensive, step-by-step tutorial for setting up OAuth2 client credentials authentication for the Ramp API. It covers obtaining necessary API credentials, configuring the environment for both sandbox and production, and utilizing Python code to successfully acquire an access token and verify connectivity. This is essential for developers needing to integrate financial data, manage corporate cards, or synchronize expense records using Ramp's services.

Provides implementation patterns for setting up multi-environment access using the Ramp Developer API. This skill is crucial for integrating corporate card management, expense tracking, and accounting synchronization with OAuth2 authentication, ensuring smooth data flow across different development or production environments.

This internal agent skill defines a systematic, multi-step procedure for scanning GitHub repositories to gather comprehensive evidence supporting or explaining bug clusters. The process covers searching open issues, inspecting recent commits, analyzing code paths, and checking deployment history. It assigns evidence confidence tiers (Exact, Strong, Moderate, Weak) to provide a deep, actionable understanding of potential software defects.

Rowan is a cloud-native workflow platform exposed via a Python API for medicinal chemistry and molecular design. It provides programmatic access to critical computational tasks, including pKa prediction, molecular docking, conformer generation, MSA generation, and protein-ligand cofolding. It eliminates the need for users to manage local HPC or GPU infrastructure, making it ideal for large-scale batch screening and complex multi-step chemistry pipelines.