← Back to Skills Marketplace
francemichaell-15

Image To Video In Firefly

by francemichaell-15 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
61
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install image-to-video-in-firefly
Description
Get animated video clips ready to post, without touching a single slider. Upload your still images (JPG, PNG, WEBP, HEIC, up to 200MB), say something like "a...
README (SKILL.md)

Getting Started

Share your still images and I'll get started on AI video generation. Or just tell me what you're thinking.

Try saying:

  • "convert my still images"
  • "export 1080p MP4"
  • "animate this image into a 5-second"

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.

Image to Video in Firefly — Convert Images into Video Clips

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

Say you have a single product photo or landscape image and want to animate this image into a 5-second video clip with subtle motion — the backend processes it in about 30-90 seconds and hands you a 1080p MP4.

Tip: high-contrast images with clear subjects produce smoother motion results.

Matching Input to Actions

User prompts referencing image to video in firefly, 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 image-to-video-in-firefly, 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).

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.

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.

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 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

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "animate this image into a 5-second video clip with subtle motion" — concrete instructions get better results.

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

Export as MP4 for widest compatibility across social platforms.

Common Workflows

Quick edit: Upload → "animate this image into a 5-second video clip with subtle motion" → Download MP4. Takes 30-90 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.

Usage Guidance
This skill appears to do what it says (upload images, create a session, and call nemovideo.ai endpoints), but exercise caution before using it with sensitive content or a high-privilege token. Points to consider before installing/using: 1) Source and trust: the package has no homepage and an unknown owner; verify the nemovideo.ai domain and service reputation before sending images. 2) Image privacy: uploads go to an external cloud renderer — do not upload private or regulated images unless you accept that. 3) Token handling: the skill can generate an anonymous NEMO_TOKEN for you; if you set a NEMO_TOKEN yourself, ensure it does not grant wider access than needed. 4) Local files/config: the SKILL.md hints at reading/writing ~/.config/nemovideo/ and detecting install paths — confirm you’re comfortable with that filesystem access. 5) Operational controls: prefer invoking the skill manually rather than allowing autonomous runs, and monitor network activity the first time it runs. If you want higher assurance, request the upstream service documentation or a signed source/homepage before proceeding.
Capability Analysis
Type: OpenClaw Skill Name: image-to-video-in-firefly Version: 1.0.0 The skill bundle is a legitimate integration for an AI video generation service (nemovideo.ai). It provides the agent with detailed instructions for managing sessions, uploading images, and polling for video render status via a specific API. While it includes automated setup steps like generating anonymous tokens and detecting the host platform (e.g., Cursor or ClawHub) for telemetry, these actions are transparently documented and directly support the stated purpose of image-to-video conversion. No evidence of data exfiltration, malicious execution, or unauthorized access was found in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
The skill's name/description match its runtime instructions: it uploads images and calls a cloud render API. The single required credential (NEMO_TOKEN) is appropriate. However the SKILL.md frontmatter advertises a config path (~/.config/nemovideo/) that is not listed in the registry metadata — an inconsistency that suggests the skill expects to read/write local config even though the registry declared none.
Instruction Scope
Instructions stay within the image→video scope (create session, upload file, SSE stream, poll status, export). They explicitly describe uploading files from local paths and saving session_id. They also include an anonymous-token flow that posts to an external API to obtain a token. Nothing in the SKILL.md instructs reading unrelated system secrets, but the implied use of a local config path and detection of install paths (~/.clawhub, ~/.cursor) means the agent may examine the filesystem to determine X-Skill-Platform or persist session state — that behavior should be confirmed acceptable.
Install Mechanism
Instruction-only skill (no install spec, no code files). This is the lowest-risk install mechanism: nothing is written during a package install step by the registry. Runtime behavior will still perform network calls and may read/write session data locally per the instructions.
Credentials
Only NEMO_TOKEN is required as an env var, which is proportionate for a cloud-rendering API. The SKILL.md also documents a flow to obtain an anonymous token via POST if NEMO_TOKEN is not set. The only concern is the metadata inconsistency about configPaths (~/.config/nemovideo/) — if the skill actually reads/writes that directory it increases its filesystem footprint beyond just using the provided NEMO_TOKEN.
Persistence & Privilege
The skill does not request always:true or other elevated privileges. It stores a session_id as part of normal operation (expected). Autonomous invocation is allowed (platform default) but is not exceptional here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install image-to-video-in-firefly
  3. After installation, invoke the skill by name or use /image-to-video-in-firefly
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Image to Video in Firefly. - Instantly convert still images (JPG, PNG, WEBP, HEIC, up to 200MB) into animated 1080p MP4 video clips with AI-powered cloud rendering. - No manual animation skills or sliders required—just upload and describe the effect you want. - Automated setup: Anonymous token generation, session management, and credit handling built-in. - Supports prompts for animation, export, uploading files, checking credits, and session status. - Designed for fast workflows for designers, marketers, and social media creators.
Metadata
Slug image-to-video-in-firefly
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Image To Video In Firefly?

Get animated video clips ready to post, without touching a single slider. Upload your still images (JPG, PNG, WEBP, HEIC, up to 200MB), say something like "a... It is an AI Agent Skill for Claude Code / OpenClaw, with 61 downloads so far.

How do I install Image To Video In Firefly?

Run "/install image-to-video-in-firefly" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Image To Video In Firefly free?

Yes, Image To Video In Firefly is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Image To Video In Firefly support?

Image To Video In Firefly is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Image To Video In Firefly?

It is built and maintained by francemichaell-15 (@francemichaell-15); the current version is v1.0.0.

💬 Comments