Skill UI

This comprehensive reference architecture details the technical blueprint for managing fundraising operations using Finta CRM. It outlines the integration of core services—including pipeline tracking, deal rooms, and payment gateways (Stripe)—to provide founders and fund managers with end-to-end visibility. The document covers service layer design, caching strategies, event pipelines, and scaling considerations for robust, automated fundraising management.

A comprehensive guide for securing highly sensitive fundraising and investor data managed within the Finta platform. This document covers critical security best practices, including secure API key management, webhook signature verification, robust input validation using libraries like Zod, and techniques for data redaction to prevent leaks. Essential for developers building integrations that handle confidential financial terms, valuations, and investor contact information.

This skill converts complex technical descriptions, such as system architectures, data flow diagrams, flowcharts, and sequence diagrams, into professional, production-quality SVG diagrams. It supports various technical models, including Agent and Memory architectures, and exports the final output as high-resolution PNG files for seamless documentation and presentation use.

This workflow manages the end-to-end supply chain process using the Flexport API. It allows users to programmatically create purchase orders, book freight shipments (ocean, air, trucking), track real-time shipment milestones (ETD, ETA), and retrieve necessary transit documents like bills of lading. It is essential for building core logistics system integrations.

This workflow manages critical logistics documentation via the Flexport API, including creating commercial invoices for customs clearance, maintaining detailed product catalogs (SKUs, HS codes, costs), and retrieving freight invoices. It is essential for integrating customs documentation, product data management, and billing reconciliation into your supply chain systems.

This skill governs the secure ingestion and indexing of enterprise documents from diverse connectors (e.g., Google Drive, Confluence, Jira). Key functions include mandatory PII filtering (stripping emails, phones, SSNs) before indexing, preserving strict permission boundaries, and enforcing data retention policies to ensure compliance with global regulations like GDPR and CCPA.

This skill implements Role-Based Access Control (RBAC) for Glean Enterprise Search. It establishes a secure framework by mapping permissions from various source systems (like AD/Okta) to the centralized search index. The functionality allows management of distinct roles (Super Admin, Admin, Content Manager), performing detailed document access checks via API, and maintaining comprehensive audit logs. This is crucial for maintaining compliance with standards like GDPR and SOC 2.

This skill demonstrates the complete workflow for integrating with the Glean platform. It guides users through three core steps: setting up a custom data source using the Indexing API, programmatically indexing documents, and executing advanced search queries using the Client API. This is essential for developers starting new Glean connectors or needing to test their search pipelines.

A comprehensive technical guide detailing the process of migrating large-scale enterprise search platforms from sources like Elasticsearch or Algolia to Glean. It covers data export, schema transformation, using bulk indexing APIs, creating data sources, and validating search quality for smooth, large-scale deployment.

This document outlines the reference architecture for integrating diverse enterprise knowledge sources (such as Confluence, Jira, Notion, and Slack) into the Glean search index. It details the end-to-end data flow, covering connector frameworks, message queuing, permission synchronization (ACLs), and client-side search APIs. Designed to ensure continuous, reliable, and low-latency unified search across all corporate data.

This skill demonstrates how to build a robust, event-driven indexing system for Glean. It processes real-time webhooks received from various source systems (like GitHub, Notion, Confluence), handling events such as document indexing, permission changes, and search anomalies. The solution includes critical components like signature verification and idempotent message handling to ensure data consistency and reliability.

This skill provides integration with Grammarly's Writing Score API, enabling applications to automatically score documents. It evaluates writing quality across four dimensions: engagement, correctness, clarity, and tone. Use this when building content quality assurance features, implementing quality gates, or providing detailed, multi-dimensional feedback on written content.