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    Short-Video Pipeline: Topic → Script → Finished Cut ⭐

    2

    An end-to-end production workflow to turn news topics into scripted, storyboarded, and QA-verified short-form videos.

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    Short-Video Pipeline: Topic → Script → Finished Cut ⭐

    Short-Video Pipeline: Topic → Script → Finished Cut ⭐

    Example session with this skill installed

    Process today's news about the new open-source LLM release into a 45-second vertical video script and production plan. Focus on the benchmark scores.

    • Read your context and instructions
    • Compiled the short-video pipeline

    I have processed the news regarding the 'Llama-3-Ultra' release. The focus is on its performance against proprietary models.

    Topic Brief: Llama-3-Ultra Release

    • Core Angle: Open-source AI finally matching top-tier proprietary performance.
    • Hook: A new open-source model just cleared the 90% mark on MMLU benchmarks.
    • Status: PENDING_HUMAN_APPROVAL

    45-Second Production Script

    SegmentVoiceoverVisual Direction
    Hook (0-5s)"Open source just caught up. The new Llama-3-Ultra is officially here."Fast cuts of code blocks and the model logo.
    Context (5-15s)"Meta just dropped their largest model yet, and the benchmarks are staggering."Screen recording of the GitHub repo and star count.
    Detail (15-30s)"We're looking at a 91.2% on MMLU, beating GPT-4o in three out of five categories."Split screen: Benchmark table vs GPT-4o scores.
    Impact (30-40s)"This means high-tier reasoning is now accessible for local deployment without the API costs."Graphic showing "Cloud Costs" vs "Local Hardware."
    Close (40-45s)"Is this the end of the closed-source lead? Let me know your thoughts."Close up of narrator or brand logo with 'Follow' CTA.

    Production Timeline & Captions

    • 00:00-00:05: [TEXT: OPEN SOURCE CAUGHT UP] "Open source just caught up..."
    • 00:05-00:15: [TEXT: LLAMA-3-ULTRA] "Meta just dropped their largest model yet..."
    • 00:15-00:30: [TEXT: 91.2% MMLU / BEATS GPT-4o] "We're looking at a 91.2% on MMLU..."

    Publishing Package

    • Title: Open Source AI Just Hit a Massive Milestone
    • Description: Llama-3-Ultra is here and the benchmarks are changing the game for local LLMs.
    • Hashtags: #OpenSource #AI #Llama3 #TechNews #MachineLearning
    • Format: 9:16 Vertical, 4K, 30fps.

    Next steps

    1. Verify the specific MMLU sub-category scores mentioned in the script.
    2. Approve Human Checkpoint 1 to proceed to asset gathering.
    3. Select B-roll footage for the local hardware segment.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    Short-form video production often fails because creators either spend hours on manual scripting and storyboarding or rely on fully automated tools that hallucinate facts and produce low-quality edits. Balancing editorial integrity with the speed required for daily content cycles is a constant friction point.

    What it does

    • Evaluates news beats and trends to select high-potential topics based on hook potential and visual feasibility.
    • Generates spoken-word scripts structured for retention with Hook, Context, and Why It Matters segments.
    • Builds granular production timelines with timecodes for voiceover, visuals, on-screen text, and transitions.
    • Implements a mandatory two-stage human checkpoint system to ensure factual accuracy and brand safety before rendering or publishing.
    • Produces a complete publishing package including titles, descriptions, hashtags, and metadata.

    Why this beats prompting it yourself

    Generic prompts often produce long-winded scripts that don't fit the 9:16 vertical format or ignore the technical requirements of a video editor. This skill enforces a specific production logic that treats video as a multi-layered timeline rather than just a block of text, ensuring every second of the script has a corresponding visual and caption plan.

    Use cases

    • Transforming daily tech or finance news into 45-second vertical social clips.
    • Standardizing a production workflow for a team of video editors and scriptwriters.
    • Generating production-ready storyboards from raw research documents or press releases.
    • Ensuring factual compliance and attribution in high-stakes news content.

    Known limitations

    Requires human intervention at two specific checkpoints to move from draft to final render. It does not perform actual video encoding or file exports without external tool integration.

    Requires external tools for actual video rendering. Mandatory human checkpoints mean it cannot be run as a fully autonomous "lights-out" publishing bot.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed1 month ago

    What's inside

    Frequently Asked Questions

    This skill automates the editorial and pre-production stages, turning raw news topics into structured scripts, time-coded storyboards, and SEO metadata, while enforcing human checkpoints to prevent the hallucinations common in fully automated tools.

    You will receive the complete end-to-end workflow logic, including the multi-stage scripting engine, the time-coded storyboard generator, and the framework for the two-stage human-in-the-loop verification process.

    While the skill generates the technical instructions, visual descriptions, and scripts, it does not perform the final video rendering; it is designed to hand off production-ready assets to video editors or automated rendering software.

    This skill is built for modern LLM-based agents and can be integrated into most major AI orchestration platforms that support multi-step task chaining and human approval nodes.

    Yes, the workflow allows you to define specific brand guidelines and 'news beats' during the setup phase to ensure the output matches your specific voice and content niche.

    Setup is straightforward: you simply import the workflow into your agent host, configure your content sources (like RSS feeds or research links), and set your notification preferences for the human review steps.

    New in Image & Video