Loading...
Loading...
Found 23 Skills
This skill should be used when the user asks to "set up agent todos", "initialize the todo store", "configure todos", "run todo init", "set up .agent-todos.local.json", or wants to set up or reconfigure the todo store for this project.
Mine knowledge from Gmail, Google Chat, Slack, Drive, local files, MCP servers, and web into an Obsidian-compatible vault (~/Documents/basalt-cortex/). Basalt format: markdown files with YAML frontmatter for clients, contacts, communications, and knowledge facts. Opens directly in Obsidian, syncs to basaltcortex.com via CLI daemon. Triggers: 'run the cortex', 'mine emails', 'mine slack', 'mine chat', 'cortex init', 'cortex search', 'cortex stats', 'what do I know about', 'set up cortex', 'mine my inbox'.
Extract YouTube video transcripts with metadata and save as Markdown to Obsidian vault. Use this skill when the user requests downloading YouTube transcripts, converting YouTube videos to text, or extracting video subtitles. Does not download video/audio files, only metadata and subtitles.
This skill should be used when users mention tasks, todos, work items, Obsidian notes, or need to manage their personal task list. It integrates with the TaskNotes CLI (tn) to list, create, update, complete, and organize tasks stored in Obsidian. Triggers on keywords like "task", "todo", "任务", "工作", "待办", "Obsidian", or when users ask about their schedule, deadlines, or what they need to do.
Use when user wants to find a note to publish as a blog post. Triggers on「选一篇笔记发博客」「note to blog」「写博客」「博客选题」. Scans Obsidian notes via Python script, evaluates blog-readiness, supports batch selection with fast/deep dual-track and parallel Agent dispatch.
Publish files or Obsidian notes as GitHub Gists. Use when user wants to share code/notes publicly, create quick shareable snippets, or publish markdown to GitHub. Triggers include "publish as gist", "create gist", "share on github", "make a gist from this".
Use when users ask to capture conversation decisions, problems, and lessons into persistent notes (e.g. 'harvest', '/harvest', 'save this to second brain', 'document this work').
Save current session context to Obsidian vault. INVOKE THIS SKILL when user: - Says "save to obsidian", "note this to obsidian", "add to vault" - Wants to capture session insights to their notes - Says "save this session", "dump to obsidian" - Asks to "create a note from this conversation" - Mentions wanting to remember or archive the current discussion Trigger phrases: "save to obsidian", "note this", "add to vault", "save session", "dump to notes", "obsidian note"
Catalog GitHub starred repositories into a structured Obsidian vault with AI-synthesized summaries, normalized topic taxonomy, graph-optimized wikilinks, and Obsidian Bases (.base) index files for filtered views. Fetches repo metadata and READMEs via gh CLI, classifies repos into categories and normalized topics, generates individual repo notes with frontmatter, and creates hub notes for categories/topics/authors that serve as graph-view connection points. Use this skill when users want to: (1) Catalog or index their GitHub stars into Obsidian (2) Create a searchable knowledge base from starred repos (3) Organize and discover patterns in their GitHub stars (4) Export GitHub stars as structured markdown notes (5) Build a graph of starred repos by topic, language, or author For saving/distilling a specific URL to a note, use kcap instead. For browsing AI tweets, use ai-twitter-radar instead.
Syncs tasks between Obsidian vault and Things 3. Adds tasks from notes, extracts action items from projects, reviews existing tasks. Use when managing todos from vault content.
Comprehensive automation for Letterly transcriptions. This skill exports the latest CSV from Letterly, processes "magic" notes into Obsidian markdown with custom metadata, semantically links them using a vector database, and moves them to the final Transcriptions directory. Use when the user asks to "process new letterly transcriptions", "sync letterly", or "import magic notes from letterly".