Skill UI

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.

This meta-skill automates the creation of professional, distributable PDF briefings. It seamlessly chains together web searching (using multiple engines), summarizing the gathered content into bullet points, and finally rendering the structured material into a beautifully styled A4 PDF document. Ideal for quickly turning research topics or web articles into ready-to-share reports and summaries.

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 skill provides current weather conditions, multi-day forecasts, and various format options for any specified location by querying external services like wttr.in or Open-Meteo. It is designed for general weather queries, including daily summaries and weekly forecasts, without requiring an API key.

A dedicated tool for querying Lark Meeting Notes (Notes) details and raw verbatim transcripts. It requires an explicit note_id to function, allowing users to determine the display type, access associated document tokens, and retrieve the original unified transcript. It strictly focuses on note-based retrieval and does not handle searching by title, document body, or meeting ID.

A crucial post-hoc review skill designed for AI-generated Markdown prose. It audits content against a comprehensive set of 21 stylistic and structural rules using both deterministic mechanical checks and deep semantic judgment. Users can audit a single file to get a detailed scorecard, or compare two drafts (A/B) for regression testing. Furthermore, it can optionally generate a polished, revised copy in a separate file, ensuring the integrity of the original document while significantly improving linguistic quality and adherence to style guides. Ideal for refining AI-written documentation, ...

A protocol for token-efficient, accurate, and structured web research. It guides the model to fetch minimum data when accessing URLs, GitHub repositories, or performing web searches, preventing token waste.

This skill manages and maintains your personal context portfolio, a structured set of markdown files detailing your identity, professional roles, team information, and system configurations. It guides users through first-time setup interviews, detects missing or incomplete information (e.g., TODO placeholders), and facilitates targeted updates when your professional context changes.

An orchestrator that routes multi-skill workflows within the CrossFrame suite, coordinating structural diagnosis, essay generation, and quality reviews.

This skill analyzes your Gmail inbox over a specified time window, filtering out noise such as newsletters, receipts, and automated notifications. It surfaces only actionable items—emails requiring a direct reply, a decision, or follow-up—and even drafts suggested replies for efficiency.

This skill automates the NotebookLM AI research tool using browser automation via the Claude Chrome extension. It allows users to programmatically create new notebooks, add multiple sources (URLs, documents, text), and trigger complex output generations, such as mindmaps, audio overviews, and briefing documents, without manual clicking. Ideal for researchers and builders managing high volumes of source material.

A specialized tool designed to strip out predictable, statistical patterns common in AI-generated writing. It systematically rewrites overly polished or uniform text—such as blog posts, emails, or social media captions—by injecting genuine human signals, ensuring the final output reads like it was written by a real person.