Video Processing

Build with Claude Messages API using structured outputs (v0.69.0+, Nov 2025) for guaranteed JSON schema validation. Covers prompt caching (90% savings), streaming SSE, tool use, model deprecations (3.5/3.7 retired Oct 2025). Use when: building chatbots/agents with validated JSON responses, or troubleshooting rate_limit_error, structured output validation, prompt caching not activating, streaming SSE parsing.

Build AI applications with OpenAI Agents SDK - text agents, voice agents (realtime), multi-agent workflows with handoffs, tools with Zod schemas, input/output guardrails, structured outputs, and streaming. Deploy to Cloudflare Workers, Next.js, or React with human-in-the-loop patterns. Use when: building text-based agents with tools and Zod schemas, creating realtime voice agents with WebRTC/WebSocket, implementing multi-agent workflows with handoffs between specialists, setting up input/output guardrails for safety, requiring human approval for critical actions, streaming agent responses, deploying agents to Cloudflare Workers or Next.js, or troubleshooting Zod schema type errors, MCP tracing failures, infinite loops (MaxTurnsExceededError), tool call failures, schema mismatches, or voice agent handoff constraints.

Build type-safe APIs with Hono - fast, lightweight routing for Cloudflare Workers, Deno, Bun, and Node.js. Covers routing, middleware, validation (Zod/Valibot), RPC client/server, streaming (SSE, streamText), WebSocket, security middleware (secureHeaders, CSRF), and combine middleware. Use when: building APIs with Hono, streaming responses (SSE, AI), WebSocket connections, security middleware (CSRF, secureHeaders), request validation, RPC communication, or troubleshooting validation hooks, RPC types, middleware chains.

Integrate Gemini API with correct current SDK (@google/genai v1.27+, NOT deprecated @google/generative-ai). Supports text generation, multimodal (images/video/audio/PDFs), function calling, and thinking mode. 1M input tokens. Use when: integrating Gemini API, implementing multimodal AI, using thinking mode for reasoning, function calling with parallel execution, streaming responses, deploying to Cloudflare Workers, building chat, or troubleshooting SDK deprecation, context window, model not found, function calling, or multimodal format errors. Keywords: gemini api, @google/genai, gemini-2.5-pro, gemini-2.5-flash, gemini-2.5-flash-lite, gemini-3-pro-preview, multimodal gemini, thinking mode, google ai, genai sdk, function calling gemini, streaming gemini, gemini vision, gemini video, gemini audio, gemini pdf, system instructions, multi-turn chat, DEPRECATED @google/generative-ai, gemini context window, gemini models 2025, gemini 1m tokens, gemini tool use, parallel function calling, compositional function calling, gemini 3

Analyze videos using Google's Gemini API - describe content, answer questions, transcribe audio with visual descriptions, reference timestamps, clip videos, and process YouTube URLs. Supports 9 video formats, multiple models (Gemini 2.5/2.0), and context windows up to 2M tokens (6 hours of video).

Guide for using FFmpeg - a comprehensive multimedia framework for video/audio encoding, conversion, streaming, and filtering. Use when processing media files, converting formats, extracting audio, creating streams, applying filters, or optimizing video/audio quality.

Download and process videos from YouTube and other platforms. Supports video download, audio extraction, format conversion (mp4, webm), and Whisper transcription. Use when user mentions YouTube download, video conversion, audio extraction, transcription, mp4, webm, ffmpeg, yt-dlp, or whisper transcription.

Advanced content and topic research skill that analyzes trends across Google Analytics, Google Trends, Substack, Medium, Reddit, LinkedIn, X, blogs, podcasts, and YouTube to generate data-driven article outlines based on user intent analysis

Download videos, audio, subtitles, and clean paragraph-style transcripts from YouTube and any other yt-dlp supported site. Use when asked to “download this video”, “save this clip”, “rip audio”, “get subtitles”, “get transcript”, or to troubleshoot yt-dlp/ffmpeg and formats/playlists.

Download YouTube video transcripts when user provides a YouTube URL or asks to download/get/fetch a transcript from YouTube. Also use when user wants to transcribe or get captions/subtitles from a YouTube video.

Unified content extraction and action planning. Use when user says "tapestry <URL>", "weave <URL>", "help me plan <URL>", "extract and plan <URL>", "make this actionable <URL>", or similar phrases indicating they want to extract content and create an action plan. Automatically detects content type (YouTube video, article, PDF) and processes accordingly.

Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or educational content into concrete action steps, reps, or a learning quest.

Post-process video files and generate optimized GIFs. Converts webm/mp4 to GIF with configurable quality settings. Triggers: gif conversion, video to gif, optimize gif, webm to gif Use when: converting browser recordings to GIF format, optimizing GIF file size

Record browser sessions using Playwright for web UI tutorials. Captures video of browser interactions that can be converted to GIF. Triggers: browser recording, playwright, web demo, ui recording Use when: creating browser-based tutorials showing web UI interactions

Combine multiple media assets (GIFs, videos) into composite tutorials. Supports vertical/horizontal layouts and sequential stitching. Triggers: combine media, stitch gifs, composite, merge recordings Use when: combining terminal and browser recordings into a single tutorial

Creates video rough cut yaml file for use with Buttercut gem. Concatenates visual transcripts with file markers, creates a roughcut yaml with clip selections, then exports to XML format. Use this skill when users want a "roughcut", "sequence" or "scene" generated. These are all the same thing, just with different lengths.

Adds visual descriptions to transcripts by extracting and analyzing video frames with ffmpeg. Creates visual transcript with periodic visual descriptions of the video clip. Use when all files have audio transcripts present (transcript) but don't yet have visual transcripts created (visual_transcript).

Creates compressed ZIP backups of libraries directory. Backs up library.yaml, transcripts, and roughcuts (not video files). This skill can also be useful when you need to restore a library.

Extract subtitles/transcripts from a YouTube video URL and save as a local file. Use when you need to extract subtitles from a YouTube video.

Fetch transcripts from YouTube videos for summarization and analysis.