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francemichaell-15

Maker Best

作者 francemichaell-15 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install maker-best
功能描述
create raw video footage into polished MP4 videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for creating bes...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "create my raw video footage"
  • "export 1080p MP4"
  • "turn my raw clips into a"

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.

Maker Best — Create and Export Top Videos

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

Say you have a 2-minute unedited screen recording and want to turn my raw clips into a polished video with transitions and music — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter source clips let the AI pick the best moments more accurately.

Matching Input to Actions

User prompts referencing maker best, 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 maker-best
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

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.

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

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn my raw clips into a polished video with transitions and music" — 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 and devices.

Common Workflows

Quick edit: Upload → "turn my raw clips into a polished video with transitions and music" → 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 mostly behaves like a cloud video-processing client, but be aware of three things before installing: (1) it will upload files you provide to an external service (mega-api-prod.nemovideo.ai) — do not send sensitive or private footage unless you trust that domain and service; (2) if you don't supply NEMO_TOKEN it will automatically generate an anonymous token by calling the provider API and then use and store that token for your session — consider whether you want the skill to obtain credentials on your behalf; (3) the instructions explicitly say not to show raw API responses or token values to users, which hides backend details. If you decide to proceed, test with non-sensitive files first, consider providing your own NEMO_TOKEN if you want control over credentials, and verify the service's privacy/terms outside the skill (the skill provides no homepage or published source).
功能分析
Type: OpenClaw Skill Name: maker-best Version: 1.0.0 The skill is a functional integration for the 'nemovideo.ai' video processing service. It defines standard API interactions for authentication, file uploading, and video rendering. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the requested environment variables and configuration paths are specific to the service's operation.
能力评估
Purpose & Capability
The declared purpose (cloud video processing/export) maps to the single required environment variable NEMO_TOKEN and the API endpoints documented in SKILL.md, so required credentials are expected. However the metadata also declares a config path (~/.config/nemovideo/) that is not referenced elsewhere in the instructions, which is unnecessary or unclear for a pure API client.
Instruction Scope
Instructions direct the agent to upload local files or URLs to an external backend and to poll/render jobs — expected for a video service — but also instruct automatic anonymous token generation when NEMO_TOKEN is absent, explicitly tell the agent not to display raw API responses or token values to the user, and require deriving an X-Skill-Platform value from the install path. These steps give the skill discretion to (a) obtain and use credentials without explicit user-provided auth and (b) read local file paths and possibly installation paths to populate headers, which broadens data access beyond simply sending the user-selected video.
Install Mechanism
No install spec and no code files — the skill is instruction-only, so nothing is downloaded or written by an installer. This is the lowest install risk.
Credentials
Only one env var (NEMO_TOKEN) is declared which is proportional to the stated purpose. However the runtime instructions include a fallback that generates an anonymous token by POSTing to an external endpoint and then treats that token as the NEMO_TOKEN; automatic creation and use of credentials without an explicit, clear user opt-in is a material behavioral detail users should be aware of. The declared config path appears unnecessary.
Persistence & Privilege
The skill does not request always:true and makes no claim to modify other skills or persistent agent settings. Autonomous invocation is allowed by default but not a distinguishing risk here.
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 maker-best
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /maker-best 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
Maker Best 1.0.0 — Initial Release - Launches a tool to turn raw video footage into polished 1080p MP4 videos via cloud GPU processing. - Supports MP4, MOV, AVI, and WebM files up to 500MB, with exports typically ready in 1–2 minutes. - Enables automatic connection and authentication with the backend, granting free trial credits for new users. - Handles video upload, processing, export, credit checks, and timeline state, with clear user feedback. - Includes robust error handling, workflow guidance, and automatic action mapping based on user prompts.
元数据
Slug maker-best
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

Maker Best 是什么?

create raw video footage into polished MP4 videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for creating bes... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 114 次。

如何安装 Maker Best?

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

Maker Best 是免费的吗?

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

Maker Best 支持哪些平台?

Maker Best 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 Maker Best?

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

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