Skill UI

Utilize the ScholarEval framework for comprehensive and structured evaluation of academic works, including research papers, proposals, and literature reviews. Assess quality across critical dimensions like problem formulation, methodology rigor, data analysis, and scholarly writing. Provides both quantitative scoring and actionable feedback to enhance publication readiness.

This advanced script offers a comprehensive solution for migrating project management data into ClickUp. It facilitates importing structured data from major external tools like Jira, Asana, and Trello, or moving data between disparate ClickUp workspaces. The process handles complex data mapping (e.g., Boards to Spaces, Issues to Tasks), custom fields, and ensures the integrity of hierarchical project structures.

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 comprehensive workflow provides core CRUD (Create, Read, Update, Delete) operations for Notion integrations. It allows users to perform complex database queries using nested filters (AND/OR) across various property types (select, date, number, etc.). Furthermore, it facilitates the structured creation and updating of pages, making it essential for automating data management, content generation, and complex information retrieval within Notion.

This guide details how to use Skyvern's AI-powered Command Line Interface (CLI) for advanced browser automation. Users can perform tasks such as quick data validation, structured data extraction, form filling, secure login, and building complex, multi-step, reusable workflows across various websites. It offers solutions for scenarios where deterministic selectors fail.

This tool functions as a post-task epilogue, designed to audit and record the entire research journey. It scans the conversation history at the end of a coding or research session to extract critical research artifacts, including decisions, experiments, dead ends, claims, heuristics, and major pivots. It systematically writes this provenance data into the structured `ara/` directory, ensuring a faithful and auditable trace of how the project truly evolved.

This skill extracts full transcripts and rich metadata from a single YouTube video URL. It uses yt-dlp to download subtitles, cleans VTT timing markers, and pulls video details (title, channel, date). The output is a structured, queryable Markdown file, ideal for populating a personal knowledge vault and enabling downstream knowledge graph extraction or content repurposing.

This is a mandatory, one-time setup skill designed to interview users interactively to build a personalized knowledge base for advanced email triage. Using a structured, discipline-driven interview process, the skill collects data on email patterns, business context, and priorities, generating 7 critical structured files (e.g., email-taxonomy.md, rate-card.md). This knowledge base powers the companion 'inbox-triage' skill. Run this before initial use or whenever core business processes change significantly.

A meta-skill designed to generate a comprehensive daily operating brief. It intelligently combines structured data from pasted context (calendars, tasks, emails), user memory (priorities, open loops), and external factors like weather, providing a holistic and actionable plan for the day. Ideal for users needing a single, high-level summary of their commitments and priorities.

This meta-skill takes a single source text and automatically renders it into four professional, distinct deliverables: a detailed Word report (.docx), a presentation slide deck (.pptx), a structured Excel data file (.xlsx), and a clean PDF version (.pdf). It ensures consistency across all required formats and greatly enhances content deployment efficiency for different business audiences.

A comprehensive workflow designed to convert unstructured conversational data, meeting notes, and ad-hoc decisions into highly structured, linkable entries within Notion. This tool ensures that all captured knowledge—whether an FAQ, a 'how-to' guide, or a formal decision log—is properly documented, categorized, and linked to maintain a cohesive, searchable knowledge base for easy reuse across teams.

This tool facilitates comprehensive research by pulling relevant information from multiple Notion sources. It synthesizes scattered data into highly structured documentation, such as detailed briefs, comparative analyses, or executive reports. It ensures all claims are supported by accurate inline citations and links, making it ideal for market research, project documentation, or academic reporting where source traceability is critical.