Skill UI

This guide provides comprehensive solutions for common API errors encountered when integrating with Persona for identity verification (KYC). It covers critical issues including 401 unauthorized keys, 422 invalid templates, webhook signature mismatches, rate limit handling (429), and state management conflicts. Use this resource when debugging or optimizing automated identity validation workflows.

This skill is designed to collect comprehensive diagnostic information regarding Persona identity verification processes. It retrieves inquiry IDs, current status, API responses, and webhook delivery logs. It is essential for troubleshooting issues related to KYC and identity verification workflows, ensuring smooth API connectivity and data flow.

This skill provides robust implementation patterns for integrating with the Podium API. It covers core business functionalities such as messaging, review management, and payment processing. By utilizing REST API calls and OAuth2 authentication, developers can establish secure, scalable connections, along with detailed error handling for common issues like expired tokens or rate limiting.

This skill provides implementation patterns for robust error handling when integrating with the Procore REST API. It covers essential topics like OAuth2 authentication, managing rate limiting (429), handling expired tokens (401), and resolving permission issues (403). Ideal for developers and project managers building automated workflows for construction project management, RFIs, or submittals.

This guide provides implementation patterns for debugging and integrating with the Procore construction management platform using its REST API and OAuth2 authentication. It covers foundational steps for interacting with project data, including company listings, and provides detailed error handling for common issues like expired tokens (401) and rate limiting (429). Ideal for developers building Procore automation workflows.

This skill guides the implementation of a comprehensive project checklist using the Procore REST API. It covers OAuth2 authentication, necessary API call patterns (such as retrieving company data), and includes thorough error handling for common issues like unauthorized access or rate limits. Ideal for developers integrating Procore into custom project management workflows, handling tasks like RFIs, submittals, and overall project status tracking.

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 to diagnosing and enhancing search relevance within Qdrant. This skill addresses reported issues such as low precision, low recall, or irrelevant matches. It guides users through determining if the problem lies in the embedding model, Qdrant configuration, or the query strategy. Techniques covered include optimizing chunk splitting, tuning HNSW parameters, implementing hybrid search, and utilizing reranking for superior result quality.

Provides a systematic guide for diagnosing and improving poor search quality in vector databases like Qdrant. This guide covers troubleshooting issues such as low recall, when approximate search degrades, selecting optimal embedding models, and correctly tuning HNSW parameters, quantization, and filtering strategies. Essential for optimizing RAG and semantic search pipelines.

A comprehensive guide for diagnosing and resolving slow search performance in Qdrant. This resource covers issues related to low QPS (throughput), high latency for single queries, and slow filtered searches. Solutions include tuning HNSW parameters, managing memory pressure, implementing quantization, optimizing indexing, and configuring cluster settings for maximum efficiency.

A comprehensive guide for developers to diagnose and fix common blockchain RPC errors when utilizing QuickNode endpoints. Covers issues such as 'Nonce Too Low', 'Insufficient Funds', 'Gas Estimation Failed', and 'Rate Limited' errors, providing concrete code fixes using ethers.js or viem.

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.