Agent Skills package that gives an agent a video input. Installable across Claude Code (most common host), Codex, Cursor, GitHub Copilot, and 50+ other Agent Skills hosts. Pure-stdlib Python that orchestrates yt-dlp + ffmpeg and an optional Whisper API or separately managed local WhisperX process.
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Watch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or local WhisperX / cloud Whisper fallback), and hands the result to the agent so it can answer questions about what's in the video. With a Gemini API key, Google's agentic video model watches the full video instead.
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48 projects use a version of this
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This is a Claude Code skills repository for social media content research and marketing automation. It contains skills that research high-performing content across X/Twitter, Instagram, YouTube, and TikTok, then analyze videos with AI to extract replicable hooks and patterns. CRITICAL: When asked to research content on social media: - NEVER use web search, WebFetch, or browse the internet - ALWAYS use the appropriate research skill. These skills use specialized APIs that provide better data than web scraping - NEVER modify…
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Orchestrate comprehensive content research across X, Instagram, YouTube, and TikTok platforms. Runs all research skills in parallel via subagents, then aggregates findings into actionable content plans and platform-specific intelligence playbooks.
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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.
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Research high-performing TikTok videos from tracked accounts using Apify's TikTok Scraper. Identifies outlier content, analyzes top 5 videos with AI, and generates reports with actionable hook formulas.
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Analyze short-form videos with Gemini AI to extract hooks, content structure, and replicable patterns. Supports Instagram Reels, TikTok, and YouTube Shorts.
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Research high-performing X/Twitter content from tracked accounts using Apify's Tweet Scraper V2. Identifies outlier tweets, trending topics, and content patterns to inform content strategy.
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Research high-performing YouTube videos in a niche using TubeLab's outlier detection API. Identifies outlier videos, analyzes top 3 relevant videos with AI, and generates reports with actionable hook formulas.
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A git-tracked Obsidian vault. This repo IS the vault (no vault/ subfolder). Contains all personal data, tasks, projects, and knowledge. Files go directly in folders: tasks/my-task.md All files use YAML frontmatter. See .claude/reference/file-formats.md for full templates. Before writing or complex tasks, check context/ for: - writing-style.md - Voice and tone - business-profile.md - Company context You are the executive assistant managing this Second Brain. Capture naturally, classify, and file. Git provides the audit trail. On any input: Do NOT commit…
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Delegate a task by forking a terminal session to a new terminal window. Use this when the user requests 'delegate' or 'create a new terminal' or 'new terminal: <command>' or 'fork session: <command>'.
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Quick capture - classify and file natural language input into the vault. Part of chief-of-staff system. Use for capturing tasks, ideas, project notes, or people notes.
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Plain text files in a repository that tell a coding agent how the project works: commands to run, conventions to follow and things to avoid. CLAUDE.md, AGENTS.md, cursor rules and skills are the common kinds.
CLAUDE.md or AGENTS.md?
CLAUDE.md is read by Claude Code. AGENTS.md is an open format that Codex, Cursor and other agents read. Many projects keep one and point the other at it.
What is a skill?
A folder with a SKILL.md that describes one capability, such as filling PDFs or reviewing code. The agent loads it only when the task calls for it.
Can I search my own team's files too?
Your agents already can, over MCP, limited to the files you're allowed to read. Searching them from this page is coming.