Skill UI

A file-based planning system, inspired by Manus, designed for organizing and tracking the progress of complex, multi-step projects, research tasks, or workflows requiring persistent state. It uses dedicated Markdown files (task_plan.md, findings.md, progress.md) as external, durable memory, ensuring context retention across long and complex sessions. Ideal for structured development, research, and project management.

Implements Manus-style file-based planning to organize complex tasks, enforcing persistent markdown plan/findings/progress files, enforcing read-before-decide and write-after-action rules, and enabling session recovery after /clear.

Formats Markdown into Slack-ready HTML or mrkdwn, previews the Slack-style rendering, copies rich HTML to the clipboard, and optionally delivers announcements via webhooks for messages and notifications.

This skill provides comprehensive analysis and structured data extraction for academic research papers hosted on Hugging Face and arXiv. It can read paper content in markdown format, retrieve key metadata (authors, abstracts, GitHub repos), and identify linked assets such as associated models, datasets, and Spaces. Use this when the user provides a Hugging Face or arXiv URL, or explicitly requests a summary or explanation of an AI research topic.

Defines the Lark/Feishu channel output rules so automated or human replies stay short, conversational, and mindful of Lark Markdown peculiarities when responding to coworker conversations.

Creates new Feishu Cloud Docs from Lark-flavored Markdown, letting you optionally target folders, wiki nodes, or knowledge spaces while ensuring structured, rich, and visually varied content.

Fetches Feishu cloud document content as Lark-flavored Markdown, extracts media tokens, and guides invoking feishu_doc_media to download images, files, and whiteboards while handling wiki token resolution.

Hookify rules enable developers to define custom, event-driven workflows using Markdown files with YAML frontmatter. These rules monitor specific operational events (such as bash commands, file edits, or user prompts) and can trigger warnings or block operations when predefined regex patterns are matched. They are essential for enforcing coding standards, preventing dangerous operations, and guiding development adherence in complex software environments.

Generates consulting-grade research reports in markdown, guiding users through framework creation and final synthesis across market, finance, brand, and industry domains with strict data traceability.

Analyzes Excel and CSV uploads with DuckDB, inspecting schemas, running SQL, summarizing statistics, and exporting results so users can explore structured data efficiently.

Guides multi-round investigation of any GitHub repository, combining API queries, discovery searches, and deep dives to produce structured markdown reports with summaries, timelines, metrics tables, and Mermaid diagrams for executive-ready briefs.

This skill provides comprehensive functionality for reading, creating, editing, and downloading content from Lark Feishu Docs (Docx/Wiki). Whether accessing via URL or token, it supports structured content manipulation using both XML and Markdown formats (v2 API). Use it for fetching document details, updating specific blocks, and managing embedded media and resources like whiteboards and images. Note that it requires prerequisite knowledge for advanced operations.