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mhogan2013-9

Ai Animation Logo

by mhogan2013-9 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install ai-animation-logo
Description
Turn a PNG logo on transparent background into 1080p animated logo video just by typing what you need. Whether it's creating animated logo intros for videos...
README (SKILL.md)

Getting Started

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

Try saying:

  • "animate my logo image or text"
  • "export 1080p MP4"
  • "animate my logo with a smooth"

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.

AI Animation Logo — Animate Logos for Video Intros

Send me your logo image or text and describe the result you want. The AI logo animation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a PNG logo on transparent background, type "animate my logo with a smooth reveal effect for video intros", and you'll get a 1080p MP4 back in roughly 20-40 seconds. All rendering happens server-side.

Worth noting: transparent PNG logos produce the cleanest animation with no background artifacts.

Matching Input to Actions

User prompts referencing ai animation logo, 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.

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: ai-animation-logo
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else 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 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)

Common Workflows

Quick edit: Upload → "animate my logo with a smooth reveal effect for video intros" → Download MP4. Takes 20-40 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 "animate my logo with a smooth reveal effect for video intros" — concrete instructions get better results.

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

Export as MP4 with H.264 codec for widest compatibility across platforms.

Usage Guidance
This skill appears to be what it says: a thin instruction layer that sends your logo and prompts to a remote rendering API. Before installing or invoking it: (1) Confirm you trust https://mega-api-prod.nemovideo.ai and are comfortable that uploaded media and prompts will be transmitted to that service. (2) Consider creating a limited or anonymous NEMO_TOKEN if possible — the skill will also attempt to mint an anonymous token if none is present. (3) Note the SKILL.md asks the agent to read the skill frontmatter and detect install paths (e.g., ~/.clawhub/, ~/.cursor/skills/) and may look at ~/.config/nemovideo/ — if you are uncomfortable with that, ask the publisher to remove or document those steps. (4) The registry metadata and the skill frontmatter disagree about required config paths; request clarification from the publisher. If you rely on sensitive environment credentials elsewhere, avoid supplying them to this skill unless you have verified the service's privacy/retention and billing policies.
Capability Analysis
Type: OpenClaw Skill Name: ai-animation-logo Version: 1.0.0 The skill is a legitimate-appearing integration for an AI video animation service (nemovideo.ai). It provides detailed instructions for the agent to manage sessions, upload media, and poll for rendering status via a dedicated API. While it performs environment checks for attribution (detecting if it's running in Cursor or Clawhub) and requires an API token (NEMO_TOKEN), these actions are consistent with its stated purpose of providing cloud-based video processing services.
Capability Assessment
Purpose & Capability
Name/description (animate PNG logos into 1080p video) match the runtime instructions: upload a logo, create a session, send render requests, poll status, and return a download URL. Requesting a NEMO_TOKEN credential to authorize API calls is consistent with a hosted rendering service.
Instruction Scope
Instructions include all steps needed to talk to the remote API (anonymous-token fallback, session creation, SSE handling, uploads, rendering). They also instruct the agent to read the skill's YAML frontmatter and detect install path (e.g., ~/.clawhub/, ~/.cursor/skills/) to set X-Skill-Platform — this requires reading a few paths in the user's home directory. That file-system access is limited but not declared in registry metadata (see environment_proportionality).
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest installer risk. Nothing is downloaded or written to disk by an install step.
Credentials
The skill declares a single primary environment variable (NEMO_TOKEN), which matches the API-based workflow. However, the SKILL.md frontmatter references a config path (~/.config/nemovideo/) and instructs detecting install paths to set X-Skill-Platform; the registry metadata provided with the submission listed no required config paths. This mismatch should be clarified. The agent will contact an external domain (mega-api-prod.nemovideo.ai) and may exchange uploaded user files and generated tokens with that service.
Persistence & Privilege
always is false and the skill does not request elevated or persistent system-wide privileges. It does not modify other skills or require permanent presence beyond normal runtime invocation. Autonomous invocation is permitted but is the platform default.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ai-animation-logo
  3. After installation, invoke the skill by name or use /ai-animation-logo
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
AI Animation Logo Skill v1.0.0 — Initial Release - Instantly animate your PNG logo into a 1080p MP4 video intro, no manual editing required. - Simple workflow: upload logo or enter text, describe your desired animation, and get a render in 20–40 seconds. - Handles authentication and session setup automatically; no installation or export settings needed. - Supports file uploads (PNG/JPEG/video/audio), text overlays, status, credits, and batch processing. - Built-in error handling for tokens, sessions, credits, rate limits, and file formats. - Exports high-quality MP4 videos, with transparent PNG logos producing the best animations.
Metadata
Slug ai-animation-logo
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Ai Animation Logo?

Turn a PNG logo on transparent background into 1080p animated logo video just by typing what you need. Whether it's creating animated logo intros for videos... It is an AI Agent Skill for Claude Code / OpenClaw, with 69 downloads so far.

How do I install Ai Animation Logo?

Run "/install ai-animation-logo" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Ai Animation Logo free?

Yes, Ai Animation Logo is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Ai Animation Logo support?

Ai Animation Logo is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Ai Animation Logo?

It is built and maintained by mhogan2013-9 (@mhogan2013-9); the current version is v1.0.0.

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