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Caption Generator In Video

作者 tk8544-b · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install caption-generator-in-video
功能描述
add video files into captioned video files with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. YouTubers, TikTok creators, marketers use it fo...
使用说明 (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"
  • "add captions in English and Spanish"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: \x3Cuuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

Caption Generator in Video — Auto-Generate Captions for Videos

Drop your video files in the chat and tell me what you need. I'll handle the AI subtitle generation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 3-minute tutorial video recording, ask for add captions in English and Spanish to my video, and about 30-60 seconds later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — shorter clips under 5 minutes generate captions significantly faster.

Matching Input to Actions

User prompts referencing caption generator in video, 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.

All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"\x3Clang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/\x3Csid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/\x3Csid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s for completed status and download URL.

Formats: 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: caption-generator-in-video
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else unknown)

All requests must include: Authorization: Bearer \x3CNEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

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)

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend says You do
"click [button]" / "点击" Execute via API
"open [panel]" / "打开" Query session state
"drag/drop" / "拖拽" Send edit via SSE
"preview in timeline" Show track summary
"Export button" / "导出" Execute export workflow

SSE Event Handling

Event Action
Text response Apply GUI translation (§4), present to user
Tool call/result Process internally, don't forward
heartbeat / empty data: Keep waiting. Every 2 min: "⏳ Still working..."
Stream closes Process final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Error Codes

  • 0 — success, continue normally
  • 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
  • 1002 — session not found; create a new one
  • 2001 — out of credits; anonymous users get a registration link with ?bind=\x3Cid>, registered users top up
  • 4001 — unsupported file type; show accepted formats
  • 4002 — file too large; suggest compressing or trimming
  • 400 — missing X-Client-Id; generate one and retry
  • 402 — free plan export blocked; not a credit issue, subscription tier
  • 429 — rate limited; wait 30s and retry once

Common Workflows

Quick edit: Upload → "add captions in English and Spanish to my video" → 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "add captions in English and Spanish to my video" — 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 all platforms.

安全使用建议
This skill appears to be an instruction-only integration with a cloud captioning API and asks for a single token (NEMO_TOKEN) — which is expected. Before installing or enabling it: 1) Verify the API host (mega-api-prod.nemovideo.ai) and the vendor (no homepage provided) so you know where your videos will be uploaded. 2) Prefer using an anonymous or short-lived token as described if you don't trust long-term access; do not reuse high-privilege credentials. 3) Be aware the skill may read paths in your home directory to detect platform/install location (it references ~/.clawhub and ~/.cursor/skills and lists ~/.config/nemovideo/ in its frontmatter) — confirm whether that is necessary. 4) Avoid uploading sensitive or private video content until you confirm the service's privacy/retention policy. 5) Ask the publisher to resolve the metadata inconsistency (registry vs SKILL.md configPaths) and provide an official homepage or source for additional trust signals.
能力评估
Purpose & Capability
The skill is a wrapper around a cloud captioning API and only requests a single credential (NEMO_TOKEN), which is coherent with its stated purpose. However, the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) while the registry metadata reported no required config paths — this mismatch is an inconsistency to confirm with the author.
Instruction Scope
Instructions are focused on uploading videos, creating sessions, SSE interaction, and polling render status on mega-api-prod.nemovideo.ai, which fits the described functionality. The instructions also tell the agent to detect platform by checking install paths (~/.clawhub/, ~/.cursor/skills/) and to read the skill's own frontmatter for attribution — this implies filesystem reads of user home paths (limited, but outside the API itself) and should be noted.
Install Mechanism
There is no install spec and no code files; the skill is instruction-only so nothing is downloaded or written by an installer. This minimizes install-time risk.
Credentials
Only NEMO_TOKEN is required as a credential and that aligns with a cloud API usage pattern. The SKILL.md also documents a flow to obtain an anonymous token via POST, which is reasonable. The earlier registry summary stated 'required config paths: none' while the SKILL.md frontmatter lists ~/.config/nemovideo/ — this inconsistency should be clarified. No unrelated secrets are requested.
Persistence & Privilege
The skill does not request always: true, does not include an install step that persists code, and does not ask to modify other skills or global agent settings. The default ability to invoke autonomously remains but is typical for skills.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install caption-generator-in-video
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /caption-generator-in-video 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of Caption Generator in Video. - Add captions and subtitles to MP4, MOV, AVI, and WebM videos up to 500MB. - Automatic setup with free NEMO_TOKEN if needed; all processing handled in the cloud. - Fast 30–60 second AI-powered caption generation and 1080p MP4 export. - Supports quick edits, batch processing, and iterative workflows with session tracking. - Clear error handling and easy commands for export, credits, status, and upload. - No local installation required — just upload your video and specify caption details.
元数据
Slug caption-generator-in-video
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Caption Generator In Video 是什么?

add video files into captioned video files with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. YouTubers, TikTok creators, marketers use it fo... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 64 次。

如何安装 Caption Generator In Video?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install caption-generator-in-video」即可一键安装,无需额外配置。

Caption Generator In Video 是免费的吗?

是的,Caption Generator In Video 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Caption Generator In Video 支持哪些平台?

Caption Generator In Video 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Caption Generator In Video?

由 tk8544-b(@tk8544-b)开发并维护,当前版本 v1.0.0。

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