Skill UI

A comprehensive AI coach designed to build fundamental money management skills. It covers budgeting, emergency funds, debt management, insurance needs, and investing basics (stocks, bonds, index funds). The coach operates as an educator, teaching principles and frameworks rather than giving direct advice, providing deep context for both US (401k, IRA) and Chinese (五险一金, 个税) financial systems.

A comprehensive guide for rapid incident response when Algolia search functionality fails. This runbook provides structured procedures for triage, differentiating between infrastructure outages and internal configuration errors (e.g., API keys, indexing failures). It includes severity classification, diagnosis steps, and code examples for immediate remediation, such as key rotation or implementing circuit breakers.

This comprehensive guide details multiple strategies for configuring Algolia across distinct environments (development, staging, production). It covers best practices such as index prefixing, scoped API keys, environment variable management, and implementing isolation guards, ensuring data integrity and reliable search functionality in CI/CD pipelines.

A comprehensive checklist guide for deploying Algolia search services to a production environment. It covers critical steps including index configuration (attributes, ranking), securing API keys (admin vs. search-only), setting up replicas for multiple sort orders, implementing monitoring, and defining graceful degradation/fallback mechanisms. Ideal for go-live and major deployments.

This guide provides comprehensive strategies for managing Algolia's rate limits and throttling mechanisms. It covers per-API-key limits (e.g., max queries per hour) and server-side indexing queue limits. Learn how to implement robust backoff strategies, exponential backoff, and controlled batch indexing using TypeScript examples to ensure application stability under high load.

This comprehensive guide provides a production-ready reference architecture for implementing scalable search using Algolia. It details best practices for index design (including multi-index strategies), establishing robust data pipelines from source databases, structuring the service layer (search, indexing, settings), and integrating the frontend for optimal performance.

This guide provides production-ready, high-quality patterns for integrating with Algolia Search v5. It covers critical architectural aspects such as implementing singleton client management, performing strongly typed searches, robust error handling (including specific API error codes), efficient batch indexing, and handling multi-tenant environments. Use these patterns to refactor existing code and establish reliable coding standards.

This comprehensive guide provides advanced techniques to diagnose and significantly boost ClickHouse query performance. It covers analyzing slow queries using system tables, optimizing ORDER BY keys, implementing data skipping indexes (Bloom, Set, MinMax), utilizing projections for pre-aggregation, and fine-tuning server settings and materialized views. Essential for high-volume OLAP environments.

This guide details how to use sophisticated coding agents (such as Codex, Claude Code, or Pi) through a structured bash workflow. It provides methods for complex development tasks, including building new features, refactoring large codebases, and reviewing pull requests (PRs). Key best practices covered include managing pseudo-terminals (PTY), defining focused working directories (`workdir`), and executing tasks in the background for robust, multi-step automation.

This skill automates the generation of formal drawing descriptions and comprehensive reference numeral indexes for patent applications. It processes user-provided technical diagrams (PNG, JPG, PDF), identifies components, maps connections, and assigns standardized reference numerals across multiple figures. It ensures that all technical descriptions are consistent, legally compliant, and cross-referenced accurately against the claims, streamlining the patent drafting process.

Automates the CI/CD process for Glean enterprise search connectors. This tool runs comprehensive unit tests with mocked responses on every Pull Request, and executes integration tests against a staging Glean instance upon merging to the main branch. It validates connector data transforms, indexing API calls, and performs search relevance regression testing to ensure high search quality.

A comprehensive guide designed to diagnose and resolve common technical errors encountered when integrating with the Glean enterprise search API. It covers critical areas such as token type mismatches, indexing pipeline failures, permission restrictions, and rate limiting, providing actionable fixes for maintaining seamless search functionality.