Editor Paper Edit & Selects Architect

    by 香意國際

    1

    Build source-aware story spines, paper edits, selects rationale, B-roll gap maps, and stakeholder review agendas from transcripts.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Review this interview transcript and create a paper edit for a 2-minute brand video. Focus on the founder's origin story. Here is the transcript and our B-roll log.

    Your agent does

    Story Spine

    1. Opening: Founder's early struggle (Source: TR-02, 00:45)
    2. Tension: The market gap identified (Source: TR-02, 02:15) ...

    B-Roll Gap Map

    • Priority 1: Need visual of the original 2018 prototype (Missing).
    • Priority 2: Detail shots of the new manufacturing line.

    What you get

    Map a narrative story spine from raw interview transcriptsGenerate a paper-edit table with specific narrative purposes for each cutIdentify B-roll gaps and visual pickup requirements early in the editCreate a selects rationale to justify editorial choices to stakeholders

    About this skill

    The problem

    Storytelling in the edit suite often stalls when producers and editors move straight to the timeline without a plan. Working directly with media files before aligning on the narrative leads to wasted hours on redundant cuts and expensive revisions.

    What it does

    • Generates a source-confidence ledger to distinguish between verified quotes and transcript assumptions.
    • Maps the story spine from opening hook to resolution based on provided transcripts and logs.
    • Creates a paper-edit table with narrative purpose, edit transitions, and b-roll requirements.
    • Builds a gap and pickup map to identify missing footage or graphics before production ends.
    • Produces a structured review agenda to facilitate stakeholder approval of the story structure.

    Why this beats prompting it yourself

    This skill enforces a production-hardened workflow that separates story architecture from technical execution. It prevents the common AI tendency to hallucinate timecodes or fabricate quotes by using a strict source-confidence ledger and reasoning-based selects criteria.

    Use cases

    • Pre-visualizing a documentary narrative from hundreds of pages of interview transcripts.
    • Building a structured paper edit for a corporate brand film to get stakeholder sign-off.
    • Identifying B-roll gaps and pickup needs early in the post-production cycle.
    • Creating a rationale for specific selects to justify creative choices to a client.

    Known limitations

    This tool does not access, download, or edit actual video files. It requires existing transcripts or footage logs to function and does not provide legal or brand compliance guarantees.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    香意國際

    香意國際

    22 skills on Agensi

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