make-distilled
Transform raw captured content into distilled knowledge by extracting summary, key points, principles, patterns, entities, and quotes, storing the result in the distilled/ directory.
youtube-processor
Process YouTube videos into summarized Obsidian notes. Use when given a YouTube URL to summarize, extract insights, or turn videos into notes. Triggers on "summarize this video", "process this YouTube", "what's this video about", or any YouTube URL shared for processing.
blackbelt-meeting-summary
Processes BlackBelt coaching call transcripts and generates Basecamp-ready summaries. Can post directly to Basecamp. Use when "process meeting transcripts", "summarize BlackBelt meetings", "check for new transcripts", "post to basecamp".
shownotes-generator
Generate comprehensive "Shownotes" summaries from longform articles, papers, transcripts, videos, or audio content. Use when users request shownotes, episode summaries, content summaries with takeaways, or when they reference the mdynotes.com format. Creates structured summaries with metadata, hooks, takeaways, quotes, and references.
context_editing_guide
Managing context window, token optimization, summarization strategies for long conversations.
document-summary
Summarize documents, extract key points, and generate structured outlines
executive-summary
Create formal executive summaries from GitHub conversations or meeting transcripts. Use when generating leadership-ready summaries that distill key decisions, alternatives, outcomes, and next steps from complex conversations or meetings. Supports GitHub issues/PRs and transcript URIs (Zoom, Teams, etc.). Outputs are saved to Executive Summaries/ with date-organized structure.
summary
This skill should be used when providing concise summaries of research paper text. Use for quickly understanding the core content, arguments, and contributions of paper sections targeting top-tier computer science conferences.
researcher
Researches topics in-depth and generates comprehensive summaries and references. Use when trying to deeply understand a topic or use a new framework.
learning-capture
Extract and consolidate key learnings, insights, and actionable takeaways from the current conversation session. Use when the user wants to capture, summarize, or document what was learned during the chat, create study materials from discussions, or save important discoveries and decisions for future reference. Triggers include requests like "capture learnings," "summarize what we discussed," "create notes from this conversation," "what did I learn today," or "document our key findings."
fathom
Fetch meetings, transcripts, summaries, and action items from Fathom API. Use when user asks to get Fathom recordings, sync meeting transcripts, or fetch recent calls.
deep-research
This skill should be used when conducting comprehensive research on any topic using the OpenAI Deep Research API. It automates prompt enhancement through interactive clarifying questions, saves research parameters, and executes deep research with web search capabilities. Use when the user asks for in-depth analysis, investigation, research summaries, or topic exploration.
transcript-analyzer
This skill analyzes meeting transcripts to extract decisions, action items, opinions, questions, and terminology using Cerebras AI (llama-3.3-70b). Use this skill when the user asks to analyze a transcript, extract action items from meetings, find decisions in conversations, build glossaries from discussions, or summarize key points from recorded meetings.
analyzing-research-papers
Expert methodology for analyzing and summarizing research papers, extracting key contributions, methodological details, and contextualizing findings. Use when reading papers from PDFs, DOIs, or URLs to create structured summaries for researchers.
research
Use codex web search for technical research, output reports with complete citation links. Focus on key results users care about, minimize irrelevant content.
shownotes
Extract transcripts from podcasts and YouTube videos, then create shareable show notes and summaries. Use when the user wants to: (1) Get transcripts from Apple Podcasts or podcast audio files, (2) Extract transcripts from YouTube videos, (3) Create show notes or summaries from audio/video content, (4) Search for podcast episodes or YouTube videos to transcribe, or (5) Turn any audio or video content into structured notes.
tapestry
Unified content extraction and action planning. Use when user says "tapestry <URL>", "weave <URL>", "help me plan <URL>", "extract and plan <URL>", "make this actionable <URL>", or similar phrases indicating they want to extract content and create an action plan. Automatically detects content type (YouTube video, article, PDF) and processes accordingly.
meeting-intelligence-system
Analyze meeting transcripts to extract decisions, action items, blockers, sentiment, and generate follow-up emails. Use when user provides meeting notes, transcripts, or recordings and needs structured summaries or action tracking.
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