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    AI Documentary Scene Generator

    1

    Transform research into fact-grounded documentary treatments, scene plans, and production-ready AI video prompts.

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    AI Documentary Scene Generator

    AI Documentary Scene Generator

    Example session with this skill installed

    I have research notes on the 1920s jazz scene in New Orleans. Help me plan a 10-minute documentary chapter about the influence of street parades on early improvisation.

    • Read your context and instructions
    • Compiled the ai documentary scene

    I have analyzed your research notes on the 1920s New Orleans jazz scene. I have mapped the influence of brass band street parades to three key scenes focused on rhythmic syncopation and collective improvisation.

    Documentary Scene Plan: The Pulse of the Street

    Scene IDFactual PointVisual RequirementSource Reference
    SN-01Social Aid & Pleasure Clubs organized early parades.Archival photos of 1920s parade banners.Research Note #4 (Jones, 1988)
    SN-02Trumpet "widening" mimics parade lead calls.Close-up of period-accurate Cornet (Silver).Interview Transcript B (Davis)
    SN-03Second line rhythmic shift to "swing."AI Reconstruction: Crowded Bourbon St 1924.Musicology Report (Smith)

    Production-Ready AI Video Prompts (Illustrative Only)

    Prompt 01: The Second Line (Reconstruction)

    • Purpose: Illustrate the energy of a 1920s street parade.

    Visuals: Handheld camera tracking a brass band in 1920s New Orleans, sepia-toned film stock, heavy grain, dusty sunbeams hitting silver instruments, period-accurate suits and flat caps, blurred crowd dancing in the background.

    • Framing: Medium shot, 16:9, low angle.

    Prompt 02: The Cornet Lead

    • Purpose: Detail of the musical instrument for narration overlay.

    Visuals: Extreme close-up of a weathered 1920s cornet, fingers pressing valves, afternoon light catching tarnished brass, shallow depth of field, 4k detail on metal texture.

    Next steps

    1. Review the SN-01 archival checklist to confirm photo licenses.
    2. Verify the specific cornet model used in the 1920s for SN-02 accuracy.
    3. Approve the usage cost for rendering the SN-03 illustrative sequence.

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

    About this skill

    Turning raw research into a structured documentary is a manual bottleneck. This skill transforms your notes, transcripts, and source materials into fact-grounded scene plans and production-ready visual briefs. It bridges the gap between investigative research and cinematic execution without compromising journalistic integrity.

    What it does

    • Evidence Mapping creates a fact ledger separating verified data, attributed claims, and research gaps.
    • Scene Architecture breaks your narrative into chapters with specific visual evidence and narration requirements.
    • Visual Reference Planning details composition, period accuracy, and lighting for every shot.
    • Production Prompting generates precise AI video prompts for illustrative reconstructions and B-roll.
    • Archival Tracking builds checklists for required public records, maps, and historical footage.

    How it works

    1. Analyze Sources by ingesting your research notes, transcripts, and geographic scope.
    2. Develop Treatment to establish the central thesis, logline, and narrative structure.
    3. Draft Scene Plan to map every factual point to a specific visual or interview sequence.
    4. Generate Prompts for AI-assisted illustrative scenes that maintain visual continuity.

    Frameworks & tools

    This skill utilizes specialized documentary planning frameworks and factual integrity checklists. It integrates with connected image and video generation tools for rendering illustrative sequences when authorized.

    Why this beats prompting it yourself

    Generic AI tools often hallucinate facts or fail to distinguish between archival evidence and creative reconstructions. This skill enforces a "documentary-first" logic that preserves source attribution and ethical standards required for factual production.

    Use cases

    • Investigative Journalism to map complex evidence into a clear visual narrative.
    • Educational Content to plan historical or scientific explainers with accurate diagrams.
    • Independent Film to create a production-ready treatment and B-roll list for limited budgets.
    • Brand Documentaries to structure corporate history or social impact stories.

    Known limitations

    Does not perform independent fact-checking or verify external source links. Requires manual confirmation of rights and licensing for archival assets.

    Cannot verify external facts or legal rights. AI illustrative prompts must be manually labeled in final edits to avoid misleading viewers. Requires user-provided research for accuracy.

    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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    What's inside

    Frequently Asked Questions

    The skill ingests raw research, notes, and transcripts to output a structured narrative treatment, a fact-mapped scene plan, and precise prompts for AI video generators to create B-roll or reconstructions.

    Unlike general AI, this skill uses a dedicated "Evidence Mapping" framework that keeps every scene grounded in your provided data, preventing the hallucinations often seen with standard prompts.

    Yes, the skill generates production-ready prompts designed for high-end AI video tools, focusing on visual continuity, lighting, and period-appropriate details for your b-roll.

    The skill is designed to work with any major AI agent platform that supports long-form text analysis and document ingestion, provided you have a compatible environment to run it.

    You receive the full skill logic, the proprietary documentary planning frameworks, and detailed documentation on how to input your research for the best results.

    While it maps your data into scenes, the skill does not perform external fact-checking; users must verify the accuracy of the source materials they upload before generating the plan.

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