claude

YouTube Publishing

The Ben AI YouTube pipeline after the edit: Studio wizard to Unlisted, UTM links, Bitly import, chapters and tags, description, then repurposing into LinkedIn, newsletter, Circle post or course, and clips.

84 on GitHubby BenAIv4.0.2MITupdated 1 month ago
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Plugin youtube-publishing from marketplace benai-skills in naveedharri/benai-skills. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (14)

  • benai-utm-creator

    Stage 2 of the Ben AI publishing chain. Turns one YouTube video title into all six Ben AI UTM tracking links, their Bitly backhalfs, a five-letter campaign code, and a Bitly-ready import CSV saved to Downloads. Needs nothing but the exact title, so it can run while YouTube is still processing the up

  • humanizer

    Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyse

  • linkedin-writer

    Repurpose YouTube videos, blog articles, guides, or raw insights into high-performing LinkedIn posts that match Ben's exact tone of voice and writing style. This is a STEP-BY-STEP, interactive process — never output a complete LinkedIn post immediately. Each step requires suggestions, user decision,

  • newsletter-writer

    Write newsletters for Ben Van Sprundel from any source — YouTube videos, article URLs, or raw ideas/insights. Use this skill EVERY TIME the user says they want to write a newsletter, create a newsletter, draft a newsletter, turn something into a newsletter, repurpose content for a newsletter, write

  • video-cutter

    Cut any video into sentence-aligned clips at silence-midpoint boundaries given approximate target timestamps. Works on YouTube downloads, Loom recordings, uploaded MP4s, recorded calls. Triggers on "cut this video at", "split into sections", "make clips from", "cut at boundaries".

  • video-repurposing

    Turn long-form video into platform-ready clips - LinkedIn posts, TikTok/Reels, teasers, highlight reels - with word-level captions, using FFmpeg and Remotion. USE THIS SKILL WHEN the user wants to repurpose a YouTube video or any long video into social clips, mentions video, clip, footage, mp4, mov,

  • youtube-chapters-tags

    Stage 4 of the Ben AI publishing chain. Generates chapters with accurate timestamps and a tag string for a Ben van Sprundel video. Pulls the timestamped transcript out of YouTube through Claude in Chrome, finds where each topic actually starts, names chapters to Ben's measured style, flags every out

  • youtube-description

    Stage 5 and the last stage of the Ben AI publishing chain. Assembles the video description from the canonical template using the video's five-letter code, its chapters, and its referenced-video links, writes the description and the tag string into the YouTube Studio draft through Claude in Chrome, a

  • youtube-link-setup

    Stage 3 of the Ben AI publishing chain. Makes a video's tracking links real before the video is published: imports the UTM links into Bitly on the c.benai.co domain, builds and publishes the Kit landing page when there is a lead magnet, registers it in the n8n form, and verifies every short link res

  • youtube-ship

    Runs the whole Ben AI YouTube publishing chain for one video, in the right order, and reports where the video already is before doing anything. Walks the Studio wizard to Unlisted first, then UTM links, Bitly import, chapters and tags, and the description. Collects every judgment call once in a Ship

  • youtube-studio-setup

    Stage 1 of the Ben AI publishing chain. Takes a freshly uploaded video from Studio draft to a saved Unlisted video: puts the title and both thumbnails in place, arms the title-and-thumbnail A/B test, then walks the whole Studio wizard (monetization on with mid-rolls, ad suitability rated, end screen

  • yt-ingestion

    Fetch a YouTube video's raw artifacts (video file, transcript, word-level timestamps, thumbnail, metadata) without committing to a downstream workflow. Use when the user wants just the ingestion output for debugging, scratch work, or feeding into another tool. Triggers on phrases like "get me the tr

  • yt-to-community

    Turn a YouTube video into a community announcement post draft in Ben's voice, with the thumbnail attached. Pulls the transcript, detects resources and lead magnets mentioned in the video, and outputs a Circle-ready draft. This is STEP 1 of the YouTube pipeline. Whenever a YouTube URL is shared with

  • yt-to-course

    Turn a YouTube video into a structured Circle course package: decides full course vs section addition (against course_structure.md), cuts sentence-aligned lessons via video-cutter, writes lesson content in Ben's voice, and outputs clips, lesson.md, description.txt, README, and manifest. STEP 2 of th

Subagents (2)

  • video-cutter-agent

    Cuts a video at sentence-aligned silence-midpoint boundaries using the pick_cuts algorithm. Takes target cut points, word timings, and a banned-opener list. Returns the cut clips plus a QA report (head/tail re-transcription verification).

  • yt-ingestion-agent

    Downloads YouTube video at target resolution with fallback chain, fetches transcript via 3-method priority (MCP, youtube-transcript-api, user-provided), runs faster-whisper for word-level timestamps, fetches highest-resolution thumbnail. Returns a JSON manifest pointing at all artifacts.

View source on GitHub

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