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Editor Kiss

作者 vynbosserman65 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install editor-kiss
功能描述
Turn a 3-minute interview recording with pauses and filler words into 1080p kiss-cut edited clips just by typing what you need. Whether it's removing pauses...
使用说明 (SKILL.md)

Getting Started

Share your raw video footage and I'll get started on AI kiss cut editing. Or just tell me what you're thinking.

Try saying:

  • "trim my raw video footage"
  • "export 1080p MP4"
  • "remove all dead air and jump"

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.

Editor Kiss — Trim Dead Air Between Cuts

This tool takes your raw video footage and runs AI kiss cut editing through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a 3-minute interview recording with pauses and filler words and want to remove all dead air and jump cuts between sentences to create smooth kiss cuts — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: shorter clips under 5 minutes produce the most precise kiss cut detection.

Matching Input to Actions

User prompts referencing editor kiss, 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is editor-kiss, 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).

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

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 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)

Common Workflows

Quick edit: Upload → "remove all dead air and jump cuts between sentences to create smooth kiss cuts" → 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 "remove all dead air and jump cuts between sentences to create smooth kiss cuts" — 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.

安全使用建议
This skill appears to do what it claims: it uploads your videos to the nemovideo backend and returns edited exports, using NEMO_TOKEN for authorization. Before installing: (1) confirm you trust the domain (mega-api-prod.nemovideo.ai) and understand that your raw media will be uploaded to that service; (2) decide whether you want to supply your own NEMO_TOKEN (tied to your account) or allow the skill to auto-generate an anonymous token (ephemeral, limited credits); (3) ask the author to resolve the small metadata mismatch (SKILL.md lists a config path that the registry summary omitted) so you know exactly what filesystem/config access the skill expects. If you have sensitive footage you don't want sent to an external cloud, do not use this skill.
功能分析
Type: OpenClaw Skill Name: editor-kiss Version: 1.0.0 The 'editor-kiss' skill (SKILL.md) is a specialized tool for automated video editing via the 'mega-api-prod.nemovideo.ai' service. It manages authentication by generating anonymous tokens or using a provided 'NEMO_TOKEN', and it automates the upload and rendering process. The logic is strictly aligned with its stated purpose of removing dead air from videos, and it lacks indicators of malicious intent such as unauthorized data exfiltration or system command execution.
能力评估
Purpose & Capability
The name/description (cloud AI kiss-cut video editing) lines up with the only required credential (NEMO_TOKEN) and the documented API endpoints. Requesting an access token for a remote editing backend is expected for this purpose.
Instruction Scope
The SKILL.md instructs the agent to upload user media to the nemovideo backend, stream SSE responses, poll job state, and include attribution headers. All of these actions are within the stated editing purpose. It also tells the agent to detect the install path to set an X-Skill-Platform header (this requires reading the agent's install path), which is reasonable for telemetry but worth noting to privacy-conscious users.
Install Mechanism
This is an instruction-only skill with no install spec or code to write to disk, so there is no package-download or install risk.
Credentials
Only NEMO_TOKEN is required, which is proportionate for a remote editing service. The SKILL.md will auto-generate an anonymous token if none is present (via an anonymous-token endpoint). One minor inconsistency: the top-level registry summary listed no required config paths, but the SKILL.md frontmatter mentions a config path (~/.config/nemovideo/). This mismatch should be clarified. Also remember the token grants the skill access to upload and render your media on a third-party service.
Persistence & Privilege
always is false and the skill does not request elevated or platform-wide privileges. It asks to store a session_id for reuse, which is normal session state for a cloud service.
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 editor-kiss
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /editor-kiss 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 Editor Kiss (v1.0.0): AI-powered video trim and kiss-cut editing with seamless dead air removal. - Drag and drop raw footage, describe desired edits in plain language—no timeline or manual settings needed. - Fast cloud rendering: get 1080p MP4 outputs 30–90 seconds after upload. - Supports authentication with automatic free credits; session handling and error messages built in. - Handles a wide range of file formats and common workflows like quick edits and batch processing.
元数据
Slug editor-kiss
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

Editor Kiss 是什么?

Turn a 3-minute interview recording with pauses and filler words into 1080p kiss-cut edited clips just by typing what you need. Whether it's removing pauses... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 46 次。

如何安装 Editor Kiss?

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

Editor Kiss 是免费的吗?

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

Editor Kiss 支持哪些平台?

Editor Kiss 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 Editor Kiss?

由 vynbosserman65(@vynbosserman65)开发并维护,当前版本 v1.0.0。

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