Results for “content-summarization”

Summarize text using extractive, abstractive, hierarchical, and multi-document techniques, producing concise outputs at configurable detail levels. Use when the user requests summarization or provides relevant inputs for this workflow.

Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.

Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube).

Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.

Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube).

Summarizes, condenses, or extracts text, transcripts, and key points from URLs, articles, web pages, PDFs, podcasts, YouTube videos, and local files. Acts as a fallback transcription tool when the user asks to transcribe, digest, recap, or get the gist of a link, video, or document.

Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

Summarizes URLs, local files, and YouTube links via a CLI, with options for transcript extraction and configurable models.

Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

Transform meeting transcripts into structured summaries with date, participants, topic, key decisions, action items, and open questions.

Fetches and extracts readable text from a URL, then summarizes or presents key information with source citation.

Summarize academic papers, extract key findings, and identify research gaps

Merges multiple research, analysis, or brainstorming inputs into a single coherent synthesis with key insights and a recommended action.

Search and summarize papers from ArXiv. Use when the user asks for the latest research, specific topics on ArXiv, or a daily summary of AI papers.

Transform user interview transcripts into structured, actionable insights with key themes, quotes, and action items.

Compress the entire current conversation into a clean, structured handoff document that lets a new chat session, a colleague, or future-you resume the work without losing decisions, constraints, or progress. Use this skill whenever the user says "handoff", asks to summarize the thread to continue elsewhere, mentions hitting context limits or the chat getting too long, wants to brief a teammate on this conversation, or asks to export or save where things stand. ALSO offer it proactively when a long working thread is clearly winding down or the user says they'll "pick this up later". Do NOT use for summarizing external documents or meetings; this skill summarizes the conversation itself.

Search and summarize papers from ArXiv. Use when the user asks for the latest research, specific topics on ArXiv, or a daily summary of AI papers.

Retrieve relevant information from a knowledge base using semantic, keyword, or hybrid search to ground a query. Use when the task starts with a corpus or index that must be searched; use context-ranking when candidate chunks already exist and only need ordering.

Aggregates multiple RSS, Atom, or JSON feeds into a single daily digest with cross-feed deduplication, themed clustering, weighted ranking, and source-status reporting.