By jamditis
Download public videos from Twitter, TikTok, YouTube, Instagram, and Facebook, transcribe them with auditable provenance, extract and analyze frames with vision AI, and aggregate results into an interactive dashboard for cross-platform comparison.
This skill should be used when the user asks to "build a dashboard", "create a video analysis dashboard", "generate content analysis", "run topic analysis on transcripts", "analyze sentiment", "compare cross-platform messaging", or needs to aggregate transcript and frame data into an interactive web dashboard.
This skill should be used when the user asks to "download videos", "scrape videos from social media", "pull videos from Twitter/TikTok/YouTube/Instagram/Facebook", "download someone's social media videos", or needs to collect video content from public social media accounts for analysis.
This skill should be used when the user asks to "extract frames", "analyze video frames", "get screenshots from videos", "run vision analysis on videos", "analyze on-screen text in videos", "create frame grids", or needs to extract and visually analyze frames from downloaded video files.
This skill should be used when the user asks to "transcribe videos", "transcribe audio", "run Whisper on videos", "generate transcripts", "extract text from video audio", or needs batch audio transcription of downloaded video files with a re-runnable provenance record.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub jamditis/claude-skills-journalism --plugin video-toolkitLet Claude watch a video. Downloads with yt-dlp, extracts scene-change frames with ffmpeg, runs a dense 0-10s hook microscope, pulls captions or falls back to Whisper, emits a structured report.md, and (optionally) auto-saves into your Obsidian vault.
Compose yt-dlp + ffmpeg + Whisper into a single command that hands an AI agent the raw materials to watch any social video — VIDEO + FRAMES + TRANSCRIPT, ready for an LLM to read frames as images and transcript as text.
30 specialized journalism agents for investigative reporting, fact-checking, disinformation analysis, AI content detection, foreign news de-biasing, bot & troll detection, multimedia production, and content distribution
Turn videos into a sequence of relevant still frames + transcript + a self-contained HTML report so Claude can view them as images, hear the audio, and write its analysis back into the report. Pass a local path, an http(s) URL, or pipe video bytes on stdin.
Scaffold an Open Knowledge Format (OKF) knowledge base from existing docs, plans, notes, or a repository: one-concept-per-file Markdown with YAML frontmatter, directory navigation, and validation. Generate a starter wiki that passes conformance and secret-leak checks, or bootstrap an optional GitHub wiki. Session-start hooks orient Claude to the knowledge base. Built for newsroom institutional memory, research atlases, decision logs, and infrastructure maps.
Eleven development-focused skills for journalists, researchers, and small newsroom dev teams. Covers accessibility (WCAG 2.2), Electron app patterns, mobile/remote debugging, irreversible-decision discipline, Python data pipelines, test-first bug fixing, AI-assisted development workflows, ethical web scraping, no-build frontend patterns, signs-of-taste guidance for web UI, and CLAUDE.md context maintenance.
Interactive playground for creating and testing PDF reports and proposals
Fourteen core journalism skills for reporting, verification, publishing, and digital investigations. Covers AP-style writing, AI-slop detoxing, source verification (2026 deepfake/C2PA detection), FOIA and OPRA requests with current statutory citations, fact-checking workflows, interview prep and transcription, story pitches, editorial workflow, crisis communications, newsletter publishing (2024-2026 Gmail/Yahoo/Outlook bulk-sender requirements), data journalism (with 2025-2026 federal-data-portal currency notes and AI-assisted-analysis cautions), and social-media intelligence / OSINT (post-CrowdTangle Meta Content Library, X pay-per-use API, TikTok Research API, Bluesky/Threads/Mastodon/Telegram coverage). Adds embedded photo metadata (IPTC/EXIF/XMP captions, byline, alt text, keywords, Creative Commons or copyright licensing, AI-source labeling via IPTC Digital Source Type, Google-Images licensing, GPS stripping for source protection, and C2PA Content Credentials reading) for wire and archive use.
Accumulates project knowledge across sessions and developers through structured lessons and hooks
Give the agent a video input via Watch Skill: watch, index, ask, and iterate (THE LOOP).
Give your agent video input. /video analyzes a URL or local file — transcript, key frames, OCR, timeline — via the mcp-video-analyzer MCP server (auto-registered) or its CLI.