Skill UI

A comprehensive guide detailing security best practices for integrating and managing enterprise search with Glean. It covers critical topics such as indexing token management, validating webhook signatures, implementing input validation using Zod, and techniques for data redaction, ensuring that sensitive information is protected across the entire search lifecycle.

This workflow provides comprehensive methods to manage Intercom contacts, covering the full lifecycle from anonymous leads to identified users. Users can create, search, update, merge leads into users, and manage custom attributes and segments. Ideal for building robust CRM features, synchronizing user data, or implementing advanced contact search capabilities in a SaaS application.

This guide demonstrates how to build advanced AI agents using Anthropic's Tool Use (Function Calling) feature. It allows Claude to dynamically determine when external actions are needed, such as querying databases, calling APIs, or reading files. The pattern involves sending the user query, receiving a `tool_use` request, executing the corresponding function in your code, and submitting the result back to Claude for a final, coherent response. Essential for building multi-step, agentic workflows.

A comprehensive guide to troubleshooting the most common Algolia API errors, including 400, 403, 404, and 429. This document details the root causes and provides step-by-step fixes for issues related to invalid API keys, rate limits, missing indexes, and data structure validation, ensuring reliable search functionality.

This workflow provides a comprehensive solution for keeping an Algolia search index synchronized with external source data. It covers critical tasks such as full reindexing (zero downtime), efficient partial updates to minimize latency, managing synonyms for better search relevance, and setting up advanced query rules. Ideal for maintaining robust, real-time search capabilities for SaaS applications.

A comprehensive guide to reducing Algolia operational costs. This guide details the pricing structure based on search requests and records, providing advanced techniques such as implementing virtual replicas instead of standard replicas, utilizing multi-query search for request batching, and implementing client-side caching. It also includes strategies for auditing, cleaning up unused indices, and monitoring usage via the Analytics API.

A comprehensive guide detailing the breaking changes and step-by-step process for migrating applications from Algolia Search SDK v4 to v5. This resource covers updates to method signatures, import styles, and client usage patterns, ensuring a smooth upgrade process for developers.

A comprehensive guide to implementing advanced user behavior tracking and real-time data synchronization with Algolia. This guide demonstrates how to use the Insights API to track clicks, conversions, and views, and how to build event-driven pipelines using database change listeners (e.g., Prisma middleware) to keep your Algolia index perfectly synced with your core application data. Essential for deep search analytics and relevance tuning.

This comprehensive workflow provides robust export and conversion capabilities for Apple Notes. It converts Apple Notes' internal HTML storage into multiple developer-friendly formats, including Markdown, JSON, HTML, and SQLite. Use it for reliable backups, migrating notes to other applications, or building searchable, portable note archives.

This comprehensive guide demonstrates how to programmatically interact with Apple Notes on macOS. It covers essential functions like creating new notes, listing all notes, reading specific content, searching by keywords, organizing notes into folders, and deleting entries. It primarily utilizes JXA (JavaScript for Automation) and AppleScript via the command line (osascript). Ideal for developers learning native macOS automation or integrating Notes management into larger workflows.

A comprehensive coach designed to guide students and researchers through the entire scholarly writing lifecycle. This skill covers structuring complex academic works—including research papers (IMRaD), theses, dissertations, grant proposals, and conference abstracts. It teaches fundamental writing principles, proper source integration, avoiding plagiarism, and navigating diverse citation styles (APA, MLA, Chicago, GB/T 7714), helping users develop an independent, professional academic voice.

A comprehensive mentor guiding users through the entire lifecycle of academic literature reviews. It teaches systematic search strategies (PICO/PCC), critical appraisal methods, and advanced synthesis techniques. The skill covers searching major English and Chinese databases (e.g., PubMed, Web of Science, CNKI), organizing findings, and effectively utilizing AI research tools like Elicit and Semantic Scholar to build robust, evidence-based research papers.