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Editor Highlight Cover

作者 peandrover adam · 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-highlight-cover
功能描述
Skip the learning curve of professional editing software. Describe what you want — extract the best moments and generate a highlight cover video — and get hi...
使用说明 (SKILL.md)

Getting Started

Got video footage to work with? Send it over and tell me what you need — I'll take care of the AI highlight cover creation.

Try saying:

  • "generate a 10-minute gameplay or event recording into a 1080p MP4"
  • "extract the best moments and generate a highlight cover video"
  • "creating highlight cover videos from longer recordings for content creators"

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.

Editor Highlight Cover — Create Highlight Cover Videos Fast

Send me your video footage and describe the result you want. The AI highlight cover creation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 10-minute gameplay or event recording, type "extract the best moments and generate a highlight cover video", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: shorter source clips help the AI identify highlights more accurately.

Matching Input to Actions

User prompts referencing editor highlight cover, 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.

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

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

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

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 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

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.

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 "extract the best moments and generate a highlight cover 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.

Common Workflows

Quick edit: Upload → "extract the best moments and generate a highlight cover video" → 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.

安全使用建议
This skill will upload your video files to a third-party service (mega-api-prod.nemovideo.ai) and uses a service token (NEMO_TOKEN) or an anonymous token it can mint for 7-day access. Before installing: (1) confirm you trust nemovideo.ai and the domain shown; (2) understand that any uploaded video and metadata will leave your machine and be processed by their cloud; (3) prefer providing your own NEMO_TOKEN rather than relying on anonymous tokens if you want account control; (4) ask the publisher to clarify the config-path reference (~/.config/nemovideo/) because the registry summary and SKILL.md disagree; and (5) avoid sending sensitive or private footage unless you accept the service's privacy/retention policy. If you want higher assurance, request the skill author to explain where session data is stored and exactly when/if tokens are persisted or logged.
功能分析
Type: OpenClaw Skill Name: editor-highlight-cover Version: 1.0.0 The skill bundle provides a functional interface for a video editing service hosted at nemovideo.ai. It includes instructions for the agent to manage authentication tokens, handle session states, and upload video files to a remote GPU-based rendering pipeline. The logic is consistent with the stated purpose of creating highlight videos, and there is no evidence of data exfiltration, unauthorized command execution, or malicious prompt injection.
能力评估
Purpose & Capability
The skill is a cloud video highlight/cover generator and requests a single service token (NEMO_TOKEN) and network access to nemovideo API endpoints — these are proportionate to the described purpose. It also specifies required request headers and session handling appropriate for a remote render service.
Instruction Scope
SKILL.md instructs the agent to upload user video files or URLs, create sessions, poll SSE endpoints, and store session_id; this fits the declared functionality. Note: it asks to auto-detect 'install path' to set X-Skill-Platform which may require reading agent environment/paths (not explicit in requirements) — that's an implementation detail to confirm.
Install Mechanism
No install spec or code is included (instruction-only), so nothing is written to disk by default; this is low-risk and consistent with a cloud API integration.
Credentials
Only NEMO_TOKEN is required as the primary credential, which is appropriate. However, SKILL.md frontmatter metadata references a config path (~/.config/nemovideo/) while the top-level registry summary listed no required config paths — this mismatch should be clarified (why the skill might need access to that config folder).
Persistence & Privilege
The skill is not always-enabled and does not request elevated system privileges. It instructs the agent to save session_id and reuse tokens which is normal for API sessions and does not 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 editor-highlight-cover
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /editor-highlight-cover 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 Highlight Cover skill. - Enables instant AI-generated highlight cover videos from uploaded MP4, MOV, AVI, or WebM files (up to 500MB). - Users can describe desired edits; AI handles highlight extraction and video creation in 1–2 minutes. - Session management, status updates, and cloud GPU rendering are all automated. - Supports uploads, exports, credits checking, and multiple common video workflows directly via user prompts. - Error handling and onboarding for both anonymous and registered users included.
元数据
Slug editor-highlight-cover
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 Highlight Cover 是什么?

Skip the learning curve of professional editing software. Describe what you want — extract the best moments and generate a highlight cover video — and get hi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 76 次。

如何安装 Editor Highlight Cover?

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

Editor Highlight Cover 是免费的吗?

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

Editor Highlight Cover 支持哪些平台?

Editor Highlight Cover 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 Highlight Cover?

由 peandrover adam(@peand-rover)开发并维护,当前版本 v1.0.0。

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