Skill UI

Learn how to build complex, multi-step AI agents using Cohere's Chat API v2. This skill demonstrates defining external tools (like weather APIs or database searches) and implementing the full agent loop: model calls tool -> execute tool -> feed result back -> final answer. Ideal for creating autonomous, tool-using workflows that interact with external systems.

This powerful skill is designed to generate professional diagrams, including flowcharts, system architecture charts, sequence diagrams, and data visualizations. By utilizing the native draw.io CLI, it creates editable .drawio XML files and exports them to multiple formats (PNG, SVG, PDF, JPG). Use this tool when you need to visually explain complex systems, data flows, or relationships involving three or more components, ensuring the output is clear and fully editable.

Establishes comprehensive Continuous Integration and Continuous Deployment (CI/CD) workflows for Fathom meeting intelligence. This setup includes unit tests using mocked transcripts to validate data parsing logic and robust integration tests that connect to the live Fathom API. It ensures the reliability of webhooks and data processing for real-time meeting summaries and action items upon every pull request or merge.

This workflow automates post-meeting intelligence management. It syncs detailed meeting notes, summaries, and action items captured by Fathom to major CRMs like Salesforce or HubSpot. It also generates tailored follow-up emails and maintains a structured meeting history database, ensuring seamless follow-through and accurate record-keeping after every meeting.

This skill provides a comprehensive guide to configuring and handling Fathom webhooks. It allows developers to receive real-time and completed meeting data at a custom endpoint. The payload includes critical information such as meeting summaries, full transcripts, and action items. Ideal for building automated data pipelines, triggering workflows, and integrating meeting intelligence into custom applications.

A comprehensive tool for managing the entire lifecycle of Feishu Bitable (multi-dimensional table) databases. It supports creating, querying, updating, and deleting records, and managing table fields and views. Ideal for automating complex data workflows, batch data imports, and advanced structured data queries within the Feishu ecosystem.

This guide provides comprehensive instructions on setting up and authenticating with the Figma REST API. It covers two primary authentication methods: Personal Access Tokens (PATs) for server-side scripting, and the OAuth 2.0 flow for building user-facing applications. Learn how to generate tokens, manage granular scopes, and securely integrate your code with Figma's design data.

Automates the Continuous Integration (CI) and Continuous Deployment (CD) pipeline for Finta fundraising CRM data. It runs mocked unit tests on every pull request (PR) and executes comprehensive integration tests against the live API upon merging to the main branch. This ensures the integrity of data synchronization logic, pipeline stage transitions, and automated investor reporting workflows.

A comprehensive guide to diagnosing and fixing common technical and workflow errors encountered in the Finta fundraising CRM. It covers API status codes (400-502), data validation issues (e.g., duplicate investors, missing fields), and synchronization breakdowns for investors, pipelines, and emails. Essential for maintaining data integrity during fundraising operations.

Finta is a comprehensive workflow tool designed for managing investor relations post-fundraise. It streamlines the process of sending periodic, data-rich updates (including MRR, ARR, and burn rate) to all investors. Users can track complex cap table changes, model future dilution, and leverage a network feature to find warm introductions, ensuring professional and compliant communication with Limited Partners (LPs).

This skill guides users on automating fundraising workflow analysis using local data methods. Since Finta lacks a public API, it teaches how to export pipeline data (CSV) and use Python (Pandas) scripts to calculate key funnel metrics, conversion rates, and generate detailed weekly reports for investor tracking and reporting.

A comprehensive guide to optimizing the Finta fundraise workflow. This document addresses critical performance bottlenecks, including pagination issues with large investor datasets, latency in multi-stage round data aggregation, and slow CRM synchronization. Optimization strategies cover cursor-based fetching, strategic caching (TTL management), connection pooling, and robust rate limit handling, aiming to reduce pipeline load times by 50-70% and maintain dashboard responsiveness.