Skill UI

This powerful skill audits the integrity and reliability of AI experimental results. It employs a cross-model review process to detect common forms of methodological fraud, including fake ground truth generation, suspicious score normalization, and insufficient scope reporting. Use this tool whenever you need an adversarial check on experimental claims to ensure the reported outcomes are robust and trustworthy.

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.

Generates highly structured and visually rich documents within the Feishu (Lark) cloud suite. This tool accepts Lark-flavored Markdown, supporting advanced formatting like callouts, grids, enhanced tables, and Mermaid diagrams. It is ideal for creating professional knowledge base articles, detailed project plans, meeting minutes, and comprehensive reports requiring strong visual presentation and clear hierarchical structure.

A comprehensive diagnostic tool for resolving complex issues within Feishu plugins. It offers FAQs for common errors and features the deep diagnostic command (`/feishu_doctor`). This command systematically checks account configuration, API connectivity, application permissions, and user authorization status, generating a detailed report to resolve persistent technical failures.

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.

This skill automates the complex process of creating formal drawing descriptions and reference numeral indexes for patent applications. It analyzes user-provided technical diagrams (PNG, JPG, SVG, PDF), identifies components, assigns sequential reference numerals according to standard patent rules (e.g., 100-199 for FIG. 1), and generates structured descriptions in both Chinese (CN) and English (US/EP). It also cross-references the generated index against patent claims to ensure completeness.

Generates high-quality, deterministic, and editable vector diagrams (SVG) for system architecture, workflows, and pipelines. By using a structured JSON specification (FigureSpec), it ensures that the same input always yields the identical output, making it ideal for reproducible technical documentation, academic papers, and formal system modeling where precise layout and connections are critical. It is optimized for non-data-plot, formal diagrams.

This skill automatically converts structured data specifications (such as CSV, JSON schemas, SQL DDL, or Protobuf definitions) into functional, production-ready code. It generates complete models, validation logic, full CRUD API endpoints, and unit tests in multiple languages (Python, TypeScript, Go, etc.), significantly reducing boilerplate coding time and ensuring type safety.

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.

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 comprehensive bundle collects all necessary diagnostic evidence for Fly.io applications, including machine status, application logs, volume metadata, and network diagnostics. It is crucial for generating detailed support tickets and troubleshooting complex infrastructure issues such as stuck deployments, boot failures, or edge networking problems.

Collects comprehensive diagnostic information for Fondo support tickets. This bundle checks API connectivity status, filing compliance, integration health (bank/payroll), and detects reconciliation discrepancies. Ideal for troubleshooting complex financial sync errors, tax filing issues, and general platform failures.