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Net New Video Editor

CommunityPopular
ericosiu
net-new-video-editor

Turn newly recorded talking-head footage into review-ready vertical video drafts with an explicit edit plan, deterministic FFmpeg rendering, captions, hook cards, audio normalization, and visual QA. Use for original Instagram Reels, TikTok videos, YouTube Shorts, LinkedIn videos, founder-led recordings, multiple takes of a new script or idea card, or requests to automate the first video-editing pass. Do not use to mine clips from long-form source videos.

Overview

Publisherericosiu
Repositoryai-marketing-skills
Skill namenet-new-video-editor
Stars
3.5K
Forks
685
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ericosiu on GitHub. Read the source before you install it.

Installation

Install the Net New Video Editor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ericosiu/ai-marketing-skills.git /tmp/ai-marketing-skills
mkdir -p .claude/skills
cp -r /tmp/ai-marketing-skills/net-new-video-editor .claude/skills/net-new-video-editor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Net New Video Editor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Net New Video Editor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Net New Video Editor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Net-New Video Editor

Create a reversible first edit from fresh recordings. Keep creative decisions in JSON and pixel operations in the bundled renderer.

Preamble

Run from the repository root when the optional shared telemetry helpers are present:

bash
python3 telemetry/version_check.py 2>/dev/null || true
python3 telemetry/telemetry_init.py 2>/dev/null || true

Remote telemetry is opt-in and never includes content, file paths, repository names, or credentials.

Establish the package

Read references/project-contract.md. Locate the exact source recordings, transcript, idea card or brief, proof assets, and screen recordings. Never substitute another recording, brand, account, or asset library.

Initialize a new project only when the destination is clear:

bash
python3 scripts/net_new_video_editor.py init --project <project-dir>

Copy or point only user-authorized inputs into the generated package. Preserve originals.

Inspect before editing

Run:

bash
python3 scripts/net_new_video_editor.py inspect --project <project-dir>

Review intake-report.json. Stop when the package has no playable take, the requested target does not match the supplied footage, or required external assets are missing.

Build the edit plan

Use the transcript and brief to create edit-plan-clean.json. Treat the spoken hook and claim boundaries as ground truth.

  • Select one source take explicitly.
  • Keep segment order intentional and timestamps within the source duration.
  • Remove clear false starts, long dead space, and isolated filler only when the cut remains natural.
  • Preserve breaths that help meaning.
  • Put the hook on screen for at most five seconds.
  • Use captions in short readable phrases.
  • Add proof or screen inserts only when supplied and relevant. The bundled renderer handles the base assembly; add complex overlays in a separate, documented pass.
  • Normalize speech without clipping.

For a second version, copy the plan to edit-plan-aggressive.json and make only named retention edits. Do not silently change factual claims.

Validate each plan:

bash
python3 scripts/net_new_video_editor.py validate --project <project-dir> --plan <plan.json>

Render deterministically

Run the renderer from this skill directory:

bash
python3 scripts/net_new_video_editor.py render \
  --project <project-dir> \
  --plan <plan.json>

The renderer trims paired audio and video, concatenates the selected segments, creates a center-safe 9:16 frame, rasterizes captions and the hook card with Pillow, composites them with FFmpeg, normalizes audio, writes H.264/AAC MP4, and creates three QA frames plus qa-report.json.

Use --dry-run to inspect the FFmpeg command. Use --force only when replacing the exact derived export is intended.

Review the output

Inspect the exported MP4, all three QA frames, qa-report.json, and the plan diff between variants. Verify:

  • audio and mouth movement stay synchronized after every cut;
  • no word starts or ends abruptly;
  • captions match the speech and stay inside safe margins;
  • the crop keeps the speaker visible;
  • the hook is legible and repaid by the video;
  • loudness is consistent and peaks do not distort;
  • every proof insert and numerical claim has a supplied source;
  • the export is 1080x1920 H.264/AAC unless the brief requires another format.

Return the plan, export paths, QA evidence, and any required pickups. Never publish, upload, delete originals, or overwrite an approved master without current explicit approval.

Completion states

  • DONE: both render and QA pass, and the review artifacts exist.
  • DONE_WITH_CONCERNS: the draft is usable but a named creative or source concern remains.
  • NEEDS_CONTEXT: a take, transcript, brief, or approved asset is missing.
  • BLOCKED: FFmpeg, source access, or format validation prevents a safe render.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Net New Video Editor AI skill do?

Turn newly recorded talking-head footage into review-ready vertical video drafts with an explicit edit plan, deterministic FFmpeg rendering, captions, hook cards, audio normalization, and visual QA. Use for original Instagram Reels, TikTok videos, YouTube Shorts, LinkedIn videos, founder-led recordings, multiple takes of a new script or idea card, or requests to automate the first video-editing pass. Do not use to mine clips from long-form source videos.

Why use Net New Video Editor on TypingMind?

Because you install it once and use it with any model. Net New Video Editor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Net New Video Editor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ericosiu/ai-marketing-skills/tree/main/net-new-video-editor. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Net New Video Editor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Net New Video Editor?

As many as you like. As long as a model supports skills, you can use Net New Video Editor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Net New Video Editor AI skill free?

Yes. It is published on GitHub by ericosiu under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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