Rn Bw Text Opener logo

Rn Bw Text Opener

CommunityPopular
Pluviobyte
rn-bw-text-opener

Create reusable black-background white-text opening animations for new videos. Use when the user asks for "黑底白字开场", "纯黑加白字", "白色文字逐渐出来", "一个个字出来", "打字效果", "打字音效", "字体变化开头", "opening title animation", "kinetic text opener", or a short black-and-white intro before a HyperFrames, Remotion, ffmpeg, SaaS/product, tutorial, commentary, or course video. This is for original opener creation, not pixel-level reference matching.

Overview

PublisherPluviobyte
Repositoryrnskill
Skill namern-bw-text-opener
Stars
1.6K
Forks
181
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

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

Installation

Install the Rn Bw Text Opener 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/Pluviobyte/rnskill.git /tmp/rnskill
mkdir -p .claude/skills
cp -r /tmp/rnskill/skills/rn-bw-text-opener .claude/skills/rn-bw-text-opener
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rn Bw Text Opener 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 Rn Bw Text Opener 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 Rn Bw Text Opener 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.

Black White Text Opener

Role

Create a short, reusable opening animation: black background, large white text that appears one character at a time, synchronized typing click SFX, optional word replacement, and a clean transition into the main video.

This skill is generative. Do not copy source frames or promise pixel-level alignment with a reference. If the user asks to exactly match an existing video, route to rn-replica-qc first.

Required Reads

Before building an opener, read:

  1. references/motion-contract.md
  2. references/timing-presets.md

Read references/tool-recipes.md when choosing HyperFrames, Remotion, or ffmpeg.

Inputs

Collect or infer:

  • main opening phrase
  • optional replacement words or contrast words
  • final hold phrase, logo text, or next-scene lead-in
  • target ratio and resolution
  • duration preset: micro, standard, or slow
  • tone: cinematic, clean tutorial, product launch, or opinion opener
  • transition into the next scene: fade, white velocity wipe, text smear, or cut
  • typing cadence and SFX preference, default 14 chars/s with subtle key clicks

If the user gives only a topic, write 2-3 short phrase options and choose the cleanest one. Avoid long sentences.

Defaults

  • Duration: standard 4.8-5.8s.
  • Background: pure or near black, no busy decorative background.
  • Text: large white sans-serif, centered or slightly above center.
  • Motion: black hold -> white text types in character by character -> phrase holds -> replacement text types in -> final typed phrase holds -> transition out.
  • Audio: quiet typing clicks aligned to visible character appearances. Do not add clicks during black hold, final hold, or transition-only frames.
  • Build tool: HyperFrames for polished video projects; Remotion when the project already uses Remotion; ffmpeg only for simple utility openers.

Workflow

1. Create The Timing Plan

Use the bundled script to generate a deterministic plan:

bash
python3 scripts/create_opener_plan.py \
  --title "AI workflow engine" \
  --replace "from idea" "to shipped video" \
  --final "Build in minutes" \
  --preset standard \
  --typing-cps 14 \
  --out opener-plan.json

Use the plan as the source of truth for scene timing and copy. Do not improvise new copy during rendering unless the user asks.

2. Build The Animation

Follow the motion contract:

  • hold black before text appears
  • reveal each text state one character at a time
  • align typing click SFX to the same character timestamps
  • keep the first readable phrase large
  • use only 1-3 replacement states
  • hold the final phrase long enough to read
  • transition out cleanly into the next scene

For dark SaaS/product videos, this opener can precede rn-dark-saas-video; keep the opener simpler than the main product scene.

3. QC

Before handoff, verify:

  • first frames are black or near black
  • characters appear sequentially rather than all at once
  • typing clicks line up with the character reveal and stop during holds
  • white text is readable at mobile size
  • no text clips outside frame
  • no accidental colored flash
  • no persistent neon-line background
  • transition lands before the next scene starts
  • media specs match the target project

If this opener is inserted into a longer video, export both the standalone opener and the full composition when practical.

Output

Return:

  • opener MP4 path or composition path
  • timing plan path
  • key text states and timestamps
  • typing cadence and SFX schedule
  • QC notes, especially first-frame blackness and text readability

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 Rn Bw Text Opener AI skill do?

Create reusable black-background white-text opening animations for new videos. Use when the user asks for "黑底白字开场", "纯黑加白字", "白色文字逐渐出来", "一个个字出来", "打字效果", "打字音效", "字体变化开头", "opening title animation", "kinetic text opener", or a short black-and-white intro before a HyperFrames, Remotion, ffmpeg, SaaS/product, tutorial, commentary, or course video. This is for original opener creation, not pixel-level reference matching.

Why use Rn Bw Text Opener on TypingMind?

Because you install it once and use it with any model. Rn Bw Text Opener 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 Rn Bw Text Opener in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Pluviobyte/rnskill/tree/main/skills/rn-bw-text-opener. 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 Rn Bw Text Opener?

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 Rn Bw Text Opener?

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

Is the Rn Bw Text Opener AI skill free?

It is published on GitHub by Pluviobyte. Check the repository for licensing terms. 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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