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dsewell-583h0

Ai Free Subtitle Maker

by dsewell-583h0 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install ai-free-subtitle-maker
Description
Skip the learning curve of professional editing software. Describe what you want — automatically generate and add subtitles in English — and get captioned vi...
README (SKILL.md)

Getting Started

Share your video files and I'll get started on AI subtitle generation. Or just tell me what you're thinking.

Try saying:

  • "add my video files"
  • "export 1080p MP4"
  • "automatically generate and add subtitles in"

First-Time Connection

When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").

Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.

  1. Obtain a free token: Generate a random UUID as client identifier. POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id set to that UUID. The response data.token is your NEMO_TOKEN — 100 free credits, valid 7 days.
  2. Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer \x3Ctoken>, Content-Type: application/json, and body {"task_name":"project","language":"\x3Cdetected>"}. Store the returned session_id for all subsequent requests.

Keep setup communication brief. Don't display raw API responses or token values to the user.

AI Free Subtitle Maker — Auto-Generate Subtitles for Videos

Send me your video files and describe the result you want. The AI subtitle generation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 3-minute YouTube tutorial video, type "automatically generate and add subtitles in English", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

Worth noting: shorter clips under 5 minutes generate subtitles the fastest.

Matching Input to Actions

User prompts referencing ai free subtitle maker, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says... Action Skip SSE?
"export" / "导出" / "download" / "send me the video" → §3.5 Export
"credits" / "积分" / "balance" / "余额" → §3.3 Credits
"status" / "状态" / "show tracks" → §3.4 State
"upload" / "上传" / user sends file → §3.2 Upload
Everything else (generate, edit, add BGM…) → §3.1 SSE

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

Base URL: https://mega-api-prod.nemovideo.ai

Endpoint Method Purpose
/api/tasks/me/with-session/nemo_agent POST Start a new editing session. Body: {"task_name":"project","language":"\x3Clang>"}. Returns session_id.
/run_sse POST Send a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min.
/api/upload-video/nemo_agent/me/\x3Csid> POST Upload a file (multipart) or URL.
/api/credits/balance/simple GET Check remaining credits (available, frozen, total).
/api/state/nemo_agent/me/\x3Csid>/latest GET Fetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambda POST Start export. Body: {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s.

Accepted file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: ai-free-subtitle-maker
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else unknown)

Every API call needs Authorization: Bearer \x3CNEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

Error Handling

Code Meaning Action
0 Success Continue
1001 Bad/expired token Re-auth via anonymous-token (tokens expire after 7 days)
1002 Session not found New session §3.0
2001 No credits Anonymous: show registration URL with ?bind=\x3Cid> (get \x3Cid> from create-session or state response when needed). Registered: "Top up credits in your account"
4001 Unsupported file Show supported formats
4002 File too large Suggest compress/trim
400 Missing X-Client-Id Generate Client-Id and retry (see §1)
402 Free plan export blocked Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429 Rate limit (1 token/client/7 days) Retry in 30s once

Reading the SSE Stream

Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.

About 30% of edit operations close the stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

  • "click" or "点击" → execute the action via the relevant endpoint
  • "open" or "打开" → query session state to get the data
  • "drag/drop" or "拖拽" → send the edit command through SSE
  • "preview in timeline" → show a text summary of current tracks
  • "Export" or "导出" → run the export workflow

Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "automatically generate and add subtitles in English" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.

Export as MP4 for widest compatibility across platforms.

Common Workflows

Quick edit: Upload → "automatically generate and add subtitles in English" → Download MP4. Takes 30-60 seconds for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

Usage Guidance
This skill mostly behaves like a normal API-driven subtitle generator, but verify a few things before enabling it: (1) Confirm you trust the backend domain (mega-api-prod.nemovideo.ai) and its privacy policy — your videos will be uploaded there. (2) Ask the publisher why the skill needs to detect install paths or read ~/.config/nemovideo/ (this leaks which client you use and some local path data). (3) Prefer setting a limited/replaceable API token (NEMO_TOKEN) and avoid using long-lived or broadly privileged credentials. (4) If you have sensitive video content, do not upload it until you confirm where and how files and tokens are stored and who can access them. (5) If anything about the headers, anonymous-token flow, or file retention is unclear, request clarification from the skill author — the metadata mismatch (registry vs SKILL.md) should be resolved before trusting the skill.
Capability Analysis
Type: OpenClaw Skill Name: ai-free-subtitle-maker Version: 1.0.0 The ai-free-subtitle-maker skill is a functional integration for a remote video processing service (nemovideo.ai). It provides detailed instructions for the AI agent to handle authentication via anonymous tokens, manage video uploads, and poll for rendering status. The requested environment variables (NEMO_TOKEN) and configuration paths (~/.config/nemovideo/) are standard for this type of service, and the instructions include security-conscious directives such as hiding raw API tokens from the user interface.
Capability Assessment
Purpose & Capability
The skill is described as a remote subtitle-generation front end and legitimately needs an API token for a backend service (NEMO_TOKEN). However the SKILL.md frontmatter includes a configPaths entry (~/.config/nemovideo/) and runtime instructions that detect install paths (~/.clawhub/, ~/.cursor/skills/) for attribution — the registry metadata shown to you listed no required config paths. This mismatch (declared none vs SKILL.md wanting config paths and path detection) is inconsistent and worth verifying.
Instruction Scope
Runtime instructions direct uploading user video/audio files to https://mega-api-prod.nemovideo.ai, creating/storing session tokens, streaming SSE, and detecting local install paths to set an X-Skill-Platform header. Reading install path or local config for attribution is outside the minimal scope of subtitle generation and touches user file-system information; that is scope creep and a privacy concern. The instructions also instruct the agent to obtain anonymous tokens automatically if NEMO_TOKEN is missing — this is operationally reasonable but should be transparent to users.
Install Mechanism
No install spec and no code files (instruction-only). Lowest-risk in terms of code being written to disk. There is no external download or package install in the spec.
Credentials
Only one environment variable (NEMO_TOKEN) is required, which is proportional for an API-based service. However SKILL.md references local config paths and install-path detection that would let the skill read user-specific filesystem locations; that access is not justified by the stated need for a single API token and should be clarified.
Persistence & Privilege
always:false and the skill does not request permanent system-wide privileges. It asks to store a session_id for the service (expected for API interactions) but does not request modification of other skills or global agent settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ai-free-subtitle-maker
  3. After installation, invoke the skill by name or use /ai-free-subtitle-maker
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of AI Free Subtitle Maker — Auto-Generate Subtitles for Videos: - Instantly generate and add English subtitles to videos (MP4, MOV, AVI, WebM, up to 500MB). - Simple setup: automatic token fetch, session creation, and easy backend connection. - Upload, edit, preview, and export fully captioned video files in as little as 30–60 seconds. - Clear API endpoints and robust error handling for a seamless subtitle editing workflow. - Designed for creators who want fast, accurate captions without learning professional editing tools or paying for transcription.
Metadata
Slug ai-free-subtitle-maker
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Ai Free Subtitle Maker?

Skip the learning curve of professional editing software. Describe what you want — automatically generate and add subtitles in English — and get captioned vi... It is an AI Agent Skill for Claude Code / OpenClaw, with 92 downloads so far.

How do I install Ai Free Subtitle Maker?

Run "/install ai-free-subtitle-maker" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Ai Free Subtitle Maker free?

Yes, Ai Free Subtitle Maker is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Ai Free Subtitle Maker support?

Ai Free Subtitle Maker is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Ai Free Subtitle Maker?

It is built and maintained by dsewell-583h0 (@dsewell-583h0); the current version is v1.0.0.

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