Skill UI

This skill guides users through establishing a complete fundraise pipeline within Finta. It covers setting up deal stages, adding target investors using manual entry, CSV import, or Aurora AI prospecting. Users learn how to track progress automatically based on communications, set up secure deal rooms, and send structured financial updates to manage the entire fundraising lifecycle.

Detects goal hijacking vulnerabilities where malicious instructions are hidden within external content sources processed by the agent, such as retrieved documents (RAG), uploaded files, or web page content. This skill simulates these attack vectors to ensure the agent only uses the provided context for the stated task and does not execute embedded hidden commands.

Provides comprehensive guidance and code patterns for upgrading and migrating integrations with the Linktree API. It addresses breaking changes related to link types, analytics schema updates, and profile customization fields, ensuring reliable data synchronization and link management across evolving versions.

This skill provides a comprehensive guide on programmatically interacting with the Lucidchart API. It demonstrates how to create new documents, add structured shapes and connecting lines using standard import formats, and finally export the finished diagram (e.g., as PNG). It is ideal for automating the visualization of architecture diagrams, system workflows, or business processes within an application.

This skill provides comprehensive knowledge on setting up and handling real-time webhook events from Lucidchart. It details how to receive notifications—such as document creation, updates, sharing, and shape additions—via signed JSON payloads over HTTPS. Users can implement robust integrations for compliance auditing, triggering CI/CD pipelines, or notifying external collaboration tools like Slack.

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 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 guide addresses the challenges of automating Apple Notes within Continuous Integration (CI) pipelines on macOS. Because standard CI environments restrict TCC (Transparency, Consent, and Control) permissions, direct automation via osascript usually fails. It provides patterns for using mock clients for unit testing and outlines best practices for running real integration tests on self-hosted runners with proper permissions.

This guide addresses the performance degradation when automating Apple Notes, especially with large note collections (10,000+). It details architectural patterns, caching strategies, and scripting best practices (like batch processing and incremental sync) to prevent bottlenecks caused by excessive IPC calls, ensuring automation remains responsive at scale.

A comprehensive guide to securing Web3 applications utilizing Alchemy. It covers critical best practices, including implementing secure API key proxies, managing private keys via secret vaults, validating blockchain inputs (addresses, block numbers), and verifying webhook signatures to harden your dApp infrastructure.

A comprehensive skill designed for finance-related information retrieval. It provides dual search capabilities: real-time web searching across multiple engines (Jina, DDG, Baidu) for general market knowledge, and Retrieval-Augmented Generation (RAG) for querying local, proprietary document stores (e.g., daily news). Ideal for financial analysts needing both broad market context and specific internal data insights.

A robust reference architecture designed for integrating multi-property portfolios with the AppFolio Stack API. It manages complex tasks such as real-time vacancy tracking, tenant lifecycle management, work order routing, and financial accounting reconciliation (e.g., QuickBooks/Xero). Key components include a service layer, multi-level caching strategies for optimal data freshness, and an event-driven pipeline (using webhooks and message queues) to ensure data consistency and idempotency across all transactions, addressing potential rate limits and failure modes.