Skill UI

This skill guides the identification and search for specialized crew members (such as production controllers, costume designers, music directors) in South Asian cinema. It is essential when a question focuses on technical roles rather than just the director or lead actors. By using specific search queries on reliable databases (like IMDb or Wikipedia) after identifying the film, users can efficiently locate detailed production credits.

This skill provides robust methods for handling sensitive data within Notion integrations. It systematically detects Personally Identifiable Information (PII), such as emails, phone numbers, SSNs, and credit cards, within both page properties and rich text content. Users can implement data redaction mechanisms before logging or exporting, ensuring the data handling process fully complies with major privacy regulations like GDPR and CCPA.

This guide provides comprehensive methods for building robust change detection and event handling within Notion workspaces. It compares the reliability, complexity, and latency of three approaches: polling using last_edited_time, utilizing native webhooks, and using third-party connectors. Learn how to implement reliable, incremental synchronization, change feeds, and event-driven workflows using the Notion API to ensure data consistency and near real-time updates.

This guide provides comprehensive technical guidance for performance tuning and automating workflows using TechSmith Snagit COM API and Camtasia. It details key considerations for robust scripting, including using PowerShell and Python interop, defining various input/output types (like desktop, window, clipboard, or file), and solving common errors (such as COM registration failures or permission issues). Use this skill when building complex, automated pipelines for screen capture and video editing.

Create, edit, and manage Lark slides. Supports reading XML presentation structures, planning slides, rendering visual elements like charts and whiteboards, and applying custom templates.

Use this comprehensive skill to generate, manipulate, and export draw.io diagrams. It converts diagrams into native .drawio files and allows exporting to high-quality formats like PNG, SVG, and PDF. Crucially, it embeds the editable XML data, ensuring the resulting diagrams are professional, scalable, and easily integrated into documents.

This skill provides comprehensive capabilities for working with Microsoft Word documents (.docx). It supports full document lifecycle management, including text extraction (via pandoc), raw XML manipulation, creating new documents, and complex editing. Specialized workflows are available for redlining, handling tracked changes, managing comments, and preserving intricate formatting, making it ideal for professional, academic, and business document processing.

This agent simulates a comprehensive international journal peer review process. It dynamically deploys five expert reviewers—including a Journal-Fit Analyst and a Devil's Advocate—to assess a paper from multiple angles (methodology, domain, originality, logical fallacies). It generates structured reports, an Editorial Decision, and a detailed Revision Roadmap, supporting full reviews, re-reviews, and calibration checks.

This is a comprehensive lookup reference for the Mercury MCP server tools. It guides AI agents on how to interact with a virtual team workspace, enabling structured communication for messaging teammates, managing threads and tasks, scheduling complex automations, and performing administrative graph edits. Use this when your agent needs to execute specific team workflows.

nano-pdf is a powerful command-line interface (CLI) tool designed to simplify PDF editing. Instead of requiring complex manual adjustments, users can provide natural language instructions (e.g., "Change the title to X and fix the typo") to modify specific pages of a PDF document. It is ideal for quick content revisions, report updates, or proofreading when traditional PDF editors are cumbersome, offering a highly intuitive workflow.

This utility reads the raw content of a UTF-8 text file and emits it verbatim to stdout. It is specifically designed for meta-skills that require round-tripping an artifact through disk, allowing users to manually edit structured files (like scripts or YAML) during review pauses. Unlike standard built-in readers that add line numbering, this method preserves the original bytes, making it suitable for downstream parsers.

This workflow transforms long YouTube talks and lectures into a personal, structured, and local markdown library. Each video becomes a self-contained file containing slide snapshots, full timestamped transcripts, and editable study notes. It eliminates reliance on cloud services, giving users full ownership of their academic material.