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whitejohnk-26

Espanol Editor Ai

作者 whitejohnk-26 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install espanol-editor-ai
功能描述
Skip the learning curve of professional editing software. Describe what you want — edit my Spanish video, remove pauses, and add Spanish subtitles — and get...
使用说明 (SKILL.md)

Getting Started

Got video clips to work with? Send it over and tell me what you need — I'll take care of the AI Spanish editing.

Try saying:

  • "edit a 2-minute talking-head video in Spanish into a 1080p MP4"
  • "edit my Spanish video, remove pauses, and add Spanish subtitles"
  • "editing Spanish-language videos with AI-generated captions for Spanish-speaking content creators"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Generate a UUID as client identifier
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

Español Editor AI — Edit Spanish Videos with AI

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

Here's a typical use: you send a a 2-minute talking-head video in Spanish, ask for edit my Spanish video, remove pauses, and add Spanish subtitles, and about 1-2 minutes 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 3 minutes process significantly faster and yield cleaner subtitle sync.

Matching Input to Actions

User prompts referencing espanol editor ai, 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.

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source espanol-editor-ai
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

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.

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.

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

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)

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 → "edit my Spanish video, remove pauses, and add Spanish subtitles" → Download MP4. Takes 1-2 minutes 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 "edit my Spanish video, remove pauses, and add Spanish subtitles" — 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 Spanish-language platforms like YouTube and Instagram.

安全使用建议
This skill appears to be what it claims: a cloud service client that uses a NEMO_TOKEN to upload and edit Spanish videos on mega-api-prod.nemovideo.ai. Before installing or using it, consider: (1) Only provide a NEMO_TOKEN if you trust the Nemo service and its privacy/retention policy; uploaded videos will be sent to the nemo backend. (2) The SKILL.md will attempt to obtain an anonymous token automatically if you don't supply one—be aware that this still sends data to the same domain. (3) Ask the maintainer to clarify the inconsistent config path declaration (~/.config/nemovideo/) and the example language value ("en") so you know where tokens/sessions may be stored and whether UI language defaults are correct. (4) If you handle sensitive footage, confirm how long files are retained and whether you can delete them. If those answers are satisfactory, the skill's footprint is proportionate to its purpose.
功能分析
Type: OpenClaw Skill Name: espanol-editor-ai Version: 1.0.0 The skill provides a legitimate interface for an AI agent to interact with the Nemo Video AI editing service via the `mega-api-prod.nemovideo.ai` backend. It includes detailed instructions for session management, file uploading, and video rendering, using standard API patterns and attribution headers. While it requires access to a local configuration directory (`~/.config/nemovideo/`) and an environment variable (`NEMO_TOKEN`), these requirements are consistent with its stated purpose of providing a cloud-based video editing service.
能力评估
Purpose & Capability
The skill claims to edit Spanish videos and its instructions call a nemo-video backend (mega-api-prod.nemovideo.ai) and require a NEMO_TOKEN — this is coherent. Minor inconsistencies: the skill frontmatter references a config path (~/.config/nemovideo/) while the registry metadata lists no required config paths; an example session creation body uses "language":"en" which is odd for a Spanish-focused editor but could be a UI-language/default parameter.
Instruction Scope
All runtime instructions use the nemo API endpoints for auth, session creation, upload, SSE, and rendering which fit the described purpose. The skill instructs the agent to fetch an anonymous token if NEMO_TOKEN is absent and to include attribution headers on every request. It also tells the agent to 'keep the technical details out of the chat' (i.e., not disclose request details to users) — operationally reasonable but reduces transparency. No instructions request unrelated files/credentials or external endpoints beyond the stated API host.
Install Mechanism
Instruction-only skill with no install spec and no code files—lowest-risk install profile. The skill relies on runtime HTTP calls only.
Credentials
Only one credential (NEMO_TOKEN) is declared as required and is the primary credential — appropriate for a cloud API client. The frontmatter also lists a config path (~/.config/nemovideo/) which may be used to store session or token data; this config path appears in SKILL.md frontmatter but the registry metadata shown earlier listed no required config paths (inconsistency to verify). No other unrelated credentials are requested.
Persistence & Privilege
Skill is not always-enabled and does not request elevated platform privileges. It creates and uses short-lived session tokens for API operations; nothing in the instructions attempts to modify other skills or system-wide settings.
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 espanol-editor-ai
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /espanol-editor-ai 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
Español Editor AI v1.0.0 — Initial Release - Instantly edit Spanish videos by simply describing your desired edits (e.g., remove pauses, add Spanish subtitles). - Upload MP4, MOV, AVI, or WebM files up to 500MB; AI handles editing on cloud GPUs in 1–2 minutes for short clips. - No advanced software needed—just upload, describe, and download the edited Spanish video. - Automated session/token handling with 100 free credits for new users. - Tracks editing requests, video uploads, export, and credits with clear status feedback. - Ideal for Spanish-speaking content creators seeking fast, automated subtitling and basic video edits.
元数据
Slug espanol-editor-ai
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

Espanol Editor Ai 是什么?

Skip the learning curve of professional editing software. Describe what you want — edit my Spanish video, remove pauses, and add Spanish subtitles — and get... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 50 次。

如何安装 Espanol Editor Ai?

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

Espanol Editor Ai 是免费的吗?

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

Espanol Editor Ai 支持哪些平台?

Espanol Editor Ai 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 Espanol Editor Ai?

由 whitejohnk-26(@whitejohnk-26)开发并维护,当前版本 v1.0.0。

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