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francemichaell-15

Caption Generator

作者 francemichaell-15 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install caption-generator
功能描述
Turn a 3-minute tutorial video in MP4 format into 1080p captioned video files just by typing what you need. Whether it's adding subtitles to social media and...
使用说明 (SKILL.md)

Getting Started

Share your video files and I'll get started on 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"

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.

Caption Generator — Add Captions to Any Video

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

A quick example: upload a 3-minute tutorial video in MP4 format, type "add captions in English and Spanish with white text", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

Worth noting: shorter clips under 2 minutes generate captions noticeably faster.

Matching Input to Actions

User prompts referencing caption generator, 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.

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

Headers are derived from this file's YAML frontmatter. X-Skill-Source is caption-generator, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"\x3Clang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"\x3Csid>","new_message":{"parts":[{"text":"\x3Cmsg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/\x3Csid> — file: multipart -F "files=@/path", or URL: {"urls":["\x3Curl>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/\x3Csid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s until status = completed. Download URL at output.url.

Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

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

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

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.

Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

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 "add captions in English and Spanish with white text" — 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 → "add captions in English and Spanish with white text" → 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.

安全使用建议
This skill appears to do what it says: it uploads videos to an external service (mega-api-prod.nemovideo.ai) to generate captions and return downloadable renderings. Before installing, consider: 1) privacy — any video you upload will be sent to that external API, so avoid uploading sensitive content unless you trust the provider; 2) tokens — the skill can generate and store an anonymous NEMO_TOKEN for you (valid 7 days); understand and control where tokens are stored; 3) provenance — there is no homepage or repository listed, so you cannot inspect the backend or privacy policy; if this matters, ask the publisher for documentation or avoid using the skill; 4) the skill may infer install paths to set a header (minor), which could require the agent to read local paths — if you want stricter limits, restrict filesystem access or require explicit consent before uploads. If you want higher assurance, request the skill publisher provide a homepage, privacy policy, or source code to review.
功能分析
Type: OpenClaw Skill Name: caption-generator Version: 1.0.0 The caption-generator skill is a functional integration for the NemoVideo AI service (mega-api-prod.nemovideo.ai), designed to automate video captioning and editing. It handles authentication via environment variables (NEMO_TOKEN) or anonymous token generation, manages sessions, and facilitates file uploads and rendering tasks. The instructions in SKILL.md are clearly aligned with the stated purpose and include security-conscious directions, such as suppressing the display of raw API tokens and responses to the user.
能力评估
Purpose & Capability
Name/description (caption generation, remote rendering) align with the skill's declared requirement (NEMO_TOKEN) and the SKILL.md API calls to nemovideo.ai. No unrelated credentials or binaries are requested.
Instruction Scope
Instructions call for creating/using an anonymous NEMO_TOKEN, creating sessions, uploading video files (local path multipart or URL), and polling render status — all consistent with the stated purpose. Note: SKILL.md also describes deriving an X-Skill-Platform header by detecting install paths, which implies reading or inferring local paths; this is a minor scope creep but not clearly unnecessary for the service.
Install Mechanism
Instruction-only skill with no install spec or code to download. Lowest install risk: nothing is written to disk by an installer in the repository itself.
Credentials
Only NEMO_TOKEN is required as the primary credential — proportionate for a remote API. Minor inconsistency: registry metadata listed no required config paths, but SKILL.md metadata includes a config path (~/.config/nemovideo/). The skill also instructs generating and storing an anonymous token if none is present (reasonable for convenience, but the agent will write/retain credentials).
Persistence & Privilege
always is false and the skill does not request system-wide privileges or to modify other skills. Autonomous invocation is enabled (default) but not combined with broad credential access or 'always' presence.
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
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /caption-generator 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. - Instantly add captions or subtitles to any uploaded video (supports MP4, MOV, AVI, WebM, and more). - No timeline editing or manual export settings required; just describe the captions you want. - Automatic authentication and backend session setup with 100 free credits for new users. - Supports captioning in multiple languages and quick 1080p exports. - Simple text-based commands for uploading, exporting, checking credits, and editing workflows. - Cloud GPU processing; finished 1080p captioned videos ready in 30–60 seconds for most clips.
元数据
Slug caption-generator
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 是什么?

Turn a 3-minute tutorial video in MP4 format into 1080p captioned video files just by typing what you need. Whether it's adding subtitles to social media and... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 54 次。

如何安装 Caption Generator?

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

Caption Generator 是免费的吗?

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

Caption Generator 支持哪些平台?

Caption Generator 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?

由 francemichaell-15(@francemichaell-15)开发并维护,当前版本 v1.0.0。

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