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mhogan2013-9

Free Animation Videomaker

作者 mhogan2013-9 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install free-animation-videomaker
功能描述
create images or text into animated video clips with this skill. Works with PNG, JPG, MP4, GIF files up to 200MB. students, small business owners, social med...
使用说明 (SKILL.md)

Getting Started

Share your images or text and I'll get started on AI animation creation. Or just tell me what you're thinking.

Try saying:

  • "create my images or text"
  • "export 1080p MP4"
  • "turn these images into an animated"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

Free Animation Video Maker — Create Animated Videos from Images

This tool takes your images or text and runs AI animation creation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have five product images and a short script and want to turn these images into an animated explainer video with transitions and background music — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: using fewer than ten images keeps render times under a minute.

Matching Input to Actions

User prompts referencing free animation videomaker, 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is free-animation-videomaker, 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.

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 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)

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

Common Workflows

Quick edit: Upload → "turn these images into an animated explainer video with transitions and background 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn these images into an animated explainer video with transitions and background music" — concrete instructions get better results.

Max file size is 200MB. Stick to PNG, JPG, MP4, GIF for the smoothest experience.

Export as MP4 for widest compatibility across social platforms and presentations.

安全使用建议
This skill talks to an external service (mega-api-prod.nemovideo.ai) and will upload whatever files you instruct it to process. Before installing or using it, confirm you trust that service and avoid sending sensitive personal or corporate files. Note the skill can either use a NEMO_TOKEN you provide or obtain a short-lived anonymous token itself; if you prefer manual control, supply your own token and review the provider's privacy/terms. The metadata mentions a local config path (~/.config/nemovideo/) though the instructions don't require reading it — if you are concerned, check whether the platform exposes that path to skills and avoid storing secrets there.
功能分析
Type: OpenClaw Skill Name: free-animation-videomaker Version: 1.0.0 The skill is a functional wrapper for the NemoVideo AI animation service (mega-api-prod.nemovideo.ai). It provides detailed instructions for the agent to manage sessions, upload media, and poll for rendered video results. While it includes logic for automatic anonymous token acquisition and platform detection for telemetry (checking install paths like ~/.cursor/skills/), these actions are consistent with the stated purpose of providing a cloud-based video creation tool and do not exhibit signs of data exfiltration or malicious intent.
能力评估
Purpose & Capability
Name and description match the actions in SKILL.md: it uploads media, creates a session, sends SSE messages, and requests exports from a nemo video cloud API. The declared primaryEnv (NEMO_TOKEN) aligns with the backend Authorization header the skill uses.
Instruction Scope
Runtime instructions remain within the video-rendering domain (session creation, SSE, upload, export, credit checks). The skill documents how to upload local files (multipart -F "files=@/path") which implies reading user-supplied file paths — expected for an upload tool. Note: the skill also implements anonymous-token acquisition if NEMO_TOKEN is missing, so it can obtain credentials itself.
Install Mechanism
No install spec or external downloads — instruction-only skill. Nothing is written to disk by an installer step.
Credentials
Only NEMO_TOKEN is declared and used as the primary credential, which is proportional. The skill metadata also lists a config path (~/.config/nemovideo/) even though SKILL.md does not require reading it; this is a minor inconsistency but not high-risk. The skill can request an anonymous token from the service if no env var is present, reducing the need for a pre-provided secret.
Persistence & Privilege
always is false and the skill does not request persistent system-wide privileges. It stores ephemeral session IDs for interactions with the backend — expected behavior for a remote render 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 free-animation-videomaker
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /free-animation-videomaker 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: Instantly turn images or text into animated videos via a free cloud service. - Upload images or text to create animated videos; supports PNG, JPG, MP4, GIF up to 200MB. - Automatic setup with 100 free credits valid for 7 days; uses a simple token system. - Cloud rendering with GPU acceleration delivers 1080p MP4 video in 1–2 minutes. - Handles common workflows: quick edits, batch processing, and iterative previews. - Includes session management, export, file upload, credit check, and robust error handling. - User-friendly: guides you through upload, prompt, and export with helpful inline feedback.
元数据
Slug free-animation-videomaker
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

Free Animation Videomaker 是什么?

create images or text into animated video clips with this skill. Works with PNG, JPG, MP4, GIF files up to 200MB. students, small business owners, social med... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 85 次。

如何安装 Free Animation Videomaker?

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

Free Animation Videomaker 是免费的吗?

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

Free Animation Videomaker 支持哪些平台?

Free Animation Videomaker 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 Free Animation Videomaker?

由 mhogan2013-9(@mhogan2013-9)开发并维护,当前版本 v1.0.0。

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