Skill UI

Fetches a Gmail message by ID and extracts its body or headers, with options for text or JSON output, HTML decoding, and dry-run previews to streamline email inspection in scripts.

Command-line skill for sending Gmail messages with recipients, subject, body, HTML, attachments, CC/BCC, drafts, and a dry-run preview so automation scripts can deliver reports or notifications while respecting RFC encoding.

Queries finished Lark video meetings to retrieve records, notes, summaries, todos, chapters, and verbatim transcripts, with filters for keywords, time range, organizers, participants, or rooms, plus artifact downloads and note fetching for detailed content.

Generate compelling PowerPoint decks with officecli-driven Morph transitions, complete with planning prompts, naming discipline, and helper scripts for reliable multi-slide motion.

Command-line helper that pulls in URLs, local files, transcripts, podcasts, and YouTube links to deliver concise summaries or transcripts, with provider models and fetch fallbacks configurable for any workflow.

Fetch current conditions and forecasts via wttr.in or Open-Meteo without API keys, supporting both compact terminal output and JSON for scripts.

Compress CLAUDE.md, todos, preferences into caveman speech to cut input tokens while preserving every technical detail and structure, overwrite originals, save `.original.md` backups, and trigger via `/caveman:compress <filepath>` or “compress memory file” through the scripts CLI.

PDFtk Server is a powerful command-line tool designed for comprehensive manipulation and processing of PDF documents. It allows users to programmatically merge, split, rotate, secure (encrypt/decrypt), fill forms, apply watermarks, extract metadata, repair corrupted files, and much more. Ideal for automation scripts, batch processing, and any scenario requiring robust, scripted PDF handling from the terminal.

This skill analyzes a recorded video of a manual, repetitive process. It extracts visual frames and transcribes audio narration to reconstruct the step-by-step workflow, identifying applications used, data flow, and pain points. Based on a detailed understanding of the process, the assistant proposes targeted, working automation scripts using tools already available on the user's machine.