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.

阅读理解小说文本，总结成流畅的故事大纲。适用于小说初筛选、生成500-800字故事大纲

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”).

Summarize recorded video clips using the LVS microservice with a VLM fallback, producing a narrative summary with timestamped events.

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

Transform a customer interview transcript into a structured summary with Jobs to Be Done, satisfaction signals, and action items.

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

基于故事文本提炼主要情节与要点，生成完整故事梗概。适用于快速了解故事内容、剧本改编、项目推介

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

Improve existing content and close the learning loop without cannibalizing new-content work.

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

Optimize the cited draft against Semrush ContentShake AI scores. Calls .claude/skills/optimize-content/scripts/contentshake_optimize.py for SEO + Quality scoring + recommendations, then judgment-rewrites the additions in brand voice. Iterates until both scores ≥ 8 or voice drift triggers a rollback. No Chrome MCP, no TipTap injection — pure API.

Produces neutral, section-pinned U.S. legislative bill summaries translating statutory language into plain terms with identifying data, provisions, fiscal impacts, and controversy. Use when summarizing bills, analyzing proposed legislation, preparing bill briefs, digesting committee reports or fiscal notes, or writing legislative updates.

Formats content to be eligible for featured snippets and SERP features. Creates snippet-optimized content blocks based on best practices. Use PROACTIVELY for question-based content.

YouTube transcripts to summaries, threads, blogs.

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

Repurpose long-form content into multiple formats including social media posts, newsletters, videos, and quote cards using the inference.sh CLI.

Generate SEO-informed content briefs with competitive positioning

Convert input into clean, structured, hierarchical bullet points for summarization, note-taking, and structured thinking.

Transforms AI-generated text into authentic, human-sounding writing by detecting AI patterns, fixing rhythm, and injecting brand voice.

当规划内容创作策略或评估不同内容形式的长期价值时

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

On-page SEO optimization for existing content with before/after scoring

Analyzes multiple provided pages to identify keyword overlap and potential cannibalization issues. Suggests differentiation strategies. Use PROACTIVELY when reviewing similar content.

Evaluates how well internal model representations (hidden states) predict token-level information importance in summarization tasks, using NDCG@10 and Spearman's rank correlation.

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.

Coordinates a 12-phase pipeline that turns trends into scheduled, analyzed, and scaled social media content, with Paperclip issue tracking.