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Found 25 Skills
Benchmark Xiaohongshu posts from validated public account surfaces first, then extract reusable title hooks, cover patterns, content-type splits, and candidate angles for future XHS card production.
Discover Instagram creators through search, hashtags, tagged mentions, posts, and Reels, then enrich and rank them into research pools and shortlists.
Structured research summarization agent skill for non-dev users. Handles academic papers, web articles, reports, and documentation. Extracts key findings, generates comparative analyses, and produces properly formatted citations. Use when: user wants to summarize a research paper, compare multiple sources, extract citations from documents, or create structured research briefs. Plugin for Claude Code, Codex, Gemini CLI, and OpenClaw.
Research high-performing Instagram content (posts and reels) from tracked accounts using Apify's Instagram Scraper. Identifies outlier content, analyzes top 5 videos with AI, and generates reports with actionable hook formulas. Use when asked to: - Find trending Instagram content in a niche - Research what's performing on Instagram - Identify high-performing reel patterns - Analyze competitors' Instagram content - Generate content ideas from Instagram trends - Run Instagram research - Find viral reels - Analyze hooks and content structure Triggers: "instagram research", "ig research", "find trending reels", "analyze instagram accounts", "what's working on instagram", "content research instagram", "reel analysis", "instagram trends"
Generate article cover images with 5 dimensions (type, palette, rendering, text, mood). Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects. Use when user asks to 'generate cover image', 'create article cover', or 'make cover'.
Generates article cover images with 5 dimensions (type, palette, rendering, text, mood) combining 9 color palettes and 6 rendering styles. Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects. Use when user asks to "generate cover image", "create article cover", or "make cover".
Generates professional infographics with 20 layout types and 17 visual styles. Analyzes content, recommends layout×style combinations, and generates publication-ready infographics. Use when user asks to create "infographic", "信息图", "visual summary", or "可视化".
Extract wisdom, insights, and actionable takeaways from YouTube videos, blog posts, articles, or text files. Use when asked to analyse, summarise, or extract key insights from a given content source. Downloads YouTube transcripts, fetches web articles, reads local files, performs analysis, and saves structured markdown.
[WHAT] Universal content intake system for URLs (GitHub repos, YouTube videos, articles, PDFs) and skill packages (skills.sh, skill:// protocol) [HOW] Phase 1: Clone repos/fetch transcripts/scrape content/resolve skills to ~/lev/workshop/intake/. Phase 2-3: Load workshop/intake.md for full analysis [WHEN] Use when user provides a URL to analyze, says "intake/download", wants to evaluate external content, or references a skill package [WHY] Systematically evaluates external content and skill packages for adoption/adaptation with tier classification and ADR creation Triggers: "intake", "download", "analyze this url", "check out this repo", "review this video", "evaluate content", "install skill", "skill://"
Full TranscriptAPI toolkit — fetch YouTube transcripts, search videos and channels, browse channel uploads, get latest videos, and explore playlists. Use when the user wants to work with YouTube content programmatically, get transcripts for summarization or analysis, find videos, or monitor channels. Triggers on YouTube URLs, "transcript", "transcriptapi", "video summary", "what did they say", "find videos about", "search youtube".
Fetch a YouTube transcript and generate an executive summary, key points, and timestamped topic list as a polished HTML report. Activate on YouTube URLs or requests like "summarize this video", "what's this about", "give me the highlights", "TL;DR this", "digest this video", "watch this for me", "I watched this and want a breakdown", or "make notes on this talk". Supports non-English videos, language selection, and yt-dlp enrichment for chapters, video description, and richer metadata.
This skill generates comprehensive metrics reports for intelligent textbooks built with MkDocs Material, analyzing chapters, concepts, glossary terms, FAQs, quiz questions, diagrams, equations, MicroSims, word counts, and links. Use this skill when working with an intelligent textbook project that needs quantitative analysis of its content, typically after significant content development or for project status reporting. The skill creates two markdown files - book-metrics.md with overall statistics and chapter-metrics.md with per-chapter breakdowns - in the docs/learning-graph/ directory.