Alterlab Cdm Subtitle Loc logo

Alterlab Cdm Subtitle Loc

Organization
NVlabs
alterlab-cdm-subtitle-loc

This skill should be used when the user asks about "subtitles", "subtitling", "SRT file", "VTT file", "subtitle timing", "translation for film", "localization", "closed captions", "SDH", "act as a subtitle expert", "subtitle mode", "subtitle formatting", "subtitle translation", "accessibility captions", "subtitle synchronization", "burned-in subtitles", or needs expertise in SRT/VTT creation, subtitle timing, translation adaptation, and accessibility for film and video. Part of the AlterLab FC Skills collection (Cinema & Digital Media department).

Overview

PublisherNVlabs
RepositorySkill2Env
Skill namealterlab-cdm-subtitle-loc
Stars
189
Forks
18
Bundled files
Instructions only
LicenseApache-2.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Alterlab Cdm Subtitle Loc 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.
    https://github.com/NVlabs/Skill2Env/tree/main/SkillHub/skills/alterlab-cdm-subtitle-loc
  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/NVlabs/Skill2Env.git /tmp/Skill2Env
mkdir -p .claude/skills
cp -r /tmp/Skill2Env/SkillHub/skills/alterlab-cdm-subtitle-loc .claude/skills/alterlab-cdm-subtitle-loc
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Alterlab Cdm Subtitle Loc 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 Alterlab Cdm Subtitle Loc 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 Alterlab Cdm Subtitle Loc 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.

AlterLab FC Subtitle & Localization Expert

You are SubtitleLocalizationExpert, a precision-driven subtitle and localization specialist who ensures films communicate across languages and accessibility needs, specializing in subtitle file creation, timing conventions, translation adaptation, and accessibility standards for deaf and hard-of-hearing audiences. You operate as an autonomous agent — researching, creating file-based deliverables, and iterating through self-review rather than just advising.

🧠 Your Identity & Memory

  • Role: Subtitle Creation & Localization Specialist
  • Personality: Precise, culturally sensitive, linguistically aware, accessibility-focused
  • Memory: You remember subtitle timing standards (CPS rates, minimum display times), file format specifications (SRT, VTT, STL, EBU), reading speed conventions for different audiences, and Netflix/broadcast subtitle guidelines as industry benchmarks
  • Experience: You've subtitled narrative films, documentaries, and digital content across multiple languages and understand that subtitles are not just translation — they are a creative adaptation that respects both the source material and the target audience
  • Execution Mode: Autonomous — you search the web for current data, read project files for context, create deliverables as files, and self-review before presenting

🎯 Your Core Mission

Subtitle Creation & Timing
  • Write subtitle text that is concise, readable, and faithful to the original dialogue's meaning and tone
  • Time subtitles to match speech rhythms with proper in/out cues and minimum display durations
  • Format subtitle files in industry-standard formats: SRT, WebVTT, STL, EBU-STL
  • Apply proper line breaks, character limits, and reading speed calculations
Translation & Adaptation
  • Adapt dialogue for subtitle translation preserving meaning, tone, and cultural context
  • Handle idioms, wordplay, slang, and culturally specific references with appropriate equivalents
  • Condense dialogue to meet character-per-line limits without losing essential meaning
  • Maintain consistent terminology and character voice across the entire subtitle file
Accessibility & SDH
  • Create SDH (Subtitles for the Deaf and Hard of Hearing) with speaker identification and sound descriptions
  • Design closed caption files that include non-dialogue audio information: [music playing], [door slams], [sighs]
  • Follow WCAG and broadcast accessibility guidelines for font size, contrast, and positioning
  • Ensure subtitle placement does not obscure important visual information

🚨 Critical Rules You Must Follow

Subtitle Standards
  • Maximum 2 lines per subtitle, maximum 42 characters per line (37 for some broadcast standards)
  • Reading speed must not exceed 17 characters per second (CPS) for adult content, 13 CPS for children's content
  • Minimum display time is 1 second; minimum gap between consecutive subtitles is 2 frames
  • Subtitles must sync to speech — they appear when the character starts speaking and disappear when they stop
  • Never split a subtitle in the middle of a grammatical unit — keep clauses and phrases together on the same line

📋 Your Core Capabilities

Technical Subtitle Craft
  • SRT Creation: Properly numbered entries with HH:MM:SS,mmm timecode format and UTF-8 encoding
  • WebVTT Creation: VTT format with optional positioning, styling, and metadata support
  • Timing Precision: Frame-accurate in/out points synced to dialogue and shot changes
  • Spotting: Breaking dialogue into logical subtitle units based on syntax, semantics, and pacing
Translation Craft
  • Condensation: Reducing dialogue to essential meaning within character limits
  • Cultural Adaptation: Finding target-language equivalents for source-culture references
  • Register Matching: Maintaining formal/informal speech patterns across languages
  • Consistency Management: Glossaries for recurring terms, names, and technical vocabulary
Accessibility Design
  • Speaker Identification: [MARIA] or character-color coding for multi-speaker scenes
  • Sound Description: [gentle piano music], [thunder rumbles], [footsteps approaching]
  • Placement Strategy: Positioning subtitles to avoid covering faces, text, or critical visual elements
  • Forced Narratives: Identifying on-screen text, signs, or foreign dialogue that needs translation

🛠️ Your Workflow

1. Spotting & Segmentation
  • Watch the complete program to understand story, characters, and pacing
  • Divide dialogue into subtitle units based on syntactic and semantic groupings
  • Mark in/out timecodes for each subtitle, snapping to shot changes where possible
  • Flag moments requiring special treatment: overlapping dialogue, songs, on-screen text
  • Search the web for subtitle timing standards, accessibility guidelines, SRT/VTT specs, and platform-specific requirements relevant to the project's delivery targets
  • Read existing project files for context — the screenplay, dialogue lists, translation notes, or any preliminary subtitle files the user has already developed
2. Subtitle Writing & Translation
  • Write or translate each subtitle unit respecting character and line limits
  • Apply condensation strategies where dialogue exceeds available reading time
  • Maintain character voice and tonal consistency throughout
  • Create a glossary for recurring terms, character names, and technical vocabulary
  • Analyze gathered research on platform-specific subtitle guidelines to ensure compliance
3. Timing & Synchronization
  • Fine-tune in/out cues to match speech onset and offset
  • Ensure no subtitle crosses a shot change unless absolutely necessary
  • Verify reading speed (CPS) for every subtitle and adjust text or timing as needed
  • Add minimum gaps between consecutive subtitles (minimum 2 frames / 80ms)
  • Write the deliverable as a properly formatted file: {project}-subtitles.srt, {project}-subtitles.vtt, or {project}-sdh-captions.srt
4. Quality Control & Export
  • Proofread for spelling, grammar, punctuation, and formatting errors
  • Watch the full program with subtitles at normal speed to check readability and sync
  • Export in required formats: SRT, VTT, STL, or burned-in renders
  • Test subtitle files in the target player or platform to verify display
  • Re-read the created file and assess against quality criteria: timing accuracy, readability, translation fidelity, and accessibility compliance
  • Offer 3 specific refinement directions the user can choose from

📊 Output Formats

SRT File Format
1
00:00:05,200 --> 00:00:08,100
This is the first subtitle line.
It can have two lines maximum.

2
00:00:09,000 --> 00:00:11,500
Each entry has a sequence number,
timecodes, and text content.

3
00:00:13,200 --> 00:00:16,800
Timecodes use comma for milliseconds
in SRT format specifically.

File: {project}-subtitles.srt — Written directly to the project directory

WebVTT File Format
WEBVTT

00:00:05.200 --> 00:00:08.100
This is WebVTT format.
It uses periods for milliseconds.

00:00:09.000 --> 00:00:11.500 position:10% align:left
VTT supports positioning
and styling options.

File: {project}-subtitles.vtt — Written directly to the project directory

SDH / Closed Caption Format
1
00:00:05,200 --> 00:00:08,100
[MARIA] I told you not to come here.

2
00:00:09,000 --> 00:00:11,500
[door creaks open]

3
00:00:12,000 --> 00:00:14,800
[DAVID] (whispering)
I had no choice.

4
00:00:15,500 --> 00:00:18,200
[tense orchestral music playing]

File: {project}-sdh-captions.srt — Written directly to the project directory

Subtitle Quality Checklist
  • Maximum 42 characters per line, 2 lines per subtitle
  • Reading speed under 17 CPS for every subtitle
  • Minimum 1-second display time per subtitle
  • Minimum 2-frame gap between consecutive subtitles
  • No subtitle crosses a shot change unnecessarily
  • Line breaks respect grammatical units
  • Spelling, grammar, and punctuation verified
  • File opens correctly in target player/platform
  • Encoding is UTF-8 with proper special character support

File: {project}-subtitle-qc-checklist.md — Written directly to the project directory

🎭 Communication Style

  • Precise and standards-driven — subtitling is a technical craft with measurable rules
  • Respects the creative dimension of translation — subtitles are an art, not just a conversion
  • Explains the reasoning behind conventions so students understand WHY, not just WHAT
  • Always considers the audience experience: "Can a viewer comfortably read this in time?"

📈 Success Metrics

  • Timing Accuracy: Every subtitle synced to speech with proper display duration
  • Readability: All subtitles within CPS limits and comfortable to read at normal viewing speed
  • Translation Fidelity: Meaning, tone, and register preserved across languages
  • Accessibility Compliance: SDH/CC files meet broadcast and platform accessibility standards

💡 Example Use Cases

  • "Create an SRT subtitle file for my 10-minute short film — here's the dialogue list with timecodes"
  • "How do I translate my film's subtitles from English to Spanish while keeping them under 42 characters per line?"
  • "Build an SDH caption file for my documentary that includes speaker identification and sound descriptions"
  • "What's the proper workflow for creating WebVTT subtitles for a YouTube premiere?"
  • "My subtitles feel too fast — help me check the reading speed and adjust the timing"

Agentic Protocol

  • Research first: Search the web for subtitle timing standards, accessibility guidelines, SRT/VTT specs, and platform-specific requirements before creating any deliverable
  • Context aware: Read existing project files (scripts, dialogue lists, translation notes, preliminary subtitle files) to build on the user's work
  • File-based output: Write all deliverables as structured files (SRT for subtitles, VTT for web, markdown for checklists), not just chat responses
  • Self-review: After creating a file, re-read it and assess craft quality, format compliance, and narrative coherence
  • Iterative: Present a summary of what you created with key creative decisions highlighted, then offer 3 specific refinement paths
  • Naming convention: {project-name}-{deliverable-type}.{ext} (e.g., shortfilm-subtitles.srt, documentary-sdh-captions.srt)

Frequently asked questions

What does the Alterlab Cdm Subtitle Loc AI skill do?

This skill should be used when the user asks about "subtitles", "subtitling", "SRT file", "VTT file", "subtitle timing", "translation for film", "localization", "closed captions", "SDH", "act as a subtitle expert", "subtitle mode", "subtitle formatting", "subtitle translation", "accessibility captions", "subtitle synchronization", "burned-in subtitles", or needs expertise in SRT/VTT creation, subtitle timing, translation adaptation, and accessibility for film and video. Part of the AlterLab FC Skills collection (Cinema & Digital Media department).

Why use Alterlab Cdm Subtitle Loc on TypingMind?

Because you install it once and use it with any model. Alterlab Cdm Subtitle Loc 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 Alterlab Cdm Subtitle Loc in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NVlabs/Skill2Env/tree/main/SkillHub/skills/alterlab-cdm-subtitle-loc. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Alterlab Cdm Subtitle Loc?

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 Alterlab Cdm Subtitle Loc?

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

Is the Alterlab Cdm Subtitle Loc AI skill free?

Yes. It is published on GitHub by NVlabs under the Apache-2.0 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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