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tk8544-b

Component Generator

by tk8544-b · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install component-generator
Description
Skip the learning curve of professional editing software. Describe what you want — generate intro, outro, and lower-third components from my video — and get...
README (SKILL.md)

Getting Started

Share your video clips or assets and I'll get started on AI component generation. Or just tell me what you're thinking.

Try saying:

  • "generate my video clips or assets"
  • "export 1080p MP4"
  • "generate intro, outro, and lower-third components"

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.

Component Generator — Generate Video Components from Footage

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

Say you have a 2-minute product demo video and want to generate intro, outro, and lower-third components from my video — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: shorter source clips produce cleaner, more focused components.

Matching Input to Actions

User prompts referencing component generator, 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.

All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"\x3Clang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/\x3Csid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/\x3Csid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s for completed status and download URL.

Formats: 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: component-generator
  • 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.

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)

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.

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 "generate intro, outro, and lower-third components from my 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 → "generate intro, outro, and lower-third components from my video" → Download MP4. Takes 30-60 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 mostly behaves like a cloud video-rendering client and needs one token (NEMO_TOKEN). Before installing: (1) Confirm you trust the external domain (mega-api-prod.nemovideo.ai) and are comfortable uploading videos to it; videos may be sensitive. (2) Note the skill may auto-create an anonymous NEMO_TOKEN if none is provided — consider using a limited/throwaway token if you want to limit access. (3) Ask the publisher to clarify why the skill needs to check local install paths and the ~/.config/nemovideo/ config path — if you don't want the agent reading those locations, do not install or run it. (4) Because this is instruction-only (no code to inspect), treat network activity as the main risk: monitor requests and avoid using it with highly sensitive footage until you verify the service's privacy/security policies.
Capability Analysis
Type: OpenClaw Skill Name: component-generator Version: 1.0.0 The skill bundle provides a functional interface for a video component generation service. It defines standard API interactions with 'mega-api-prod.nemovideo.ai', including session management, file uploads, and credit tracking. The instructions in SKILL.md are well-aligned with the stated purpose and include security-conscious directives such as not exposing tokens or raw API output to the user.
Capability Assessment
Purpose & Capability
Name/description (video component generation) align with calling a cloud rendering API and requiring a NEMO_TOKEN. However, the skill's frontmatter metadata references a config path (~/.config/nemovideo/) not reflected in the registry summary (which listed no required config paths). Requesting local config access is not obviously necessary for basic upload/render functionality and is an unexplained extra capability.
Instruction Scope
Instructions are explicit about using the external API endpoints and about creating/using an anonymous token if NEMO_TOKEN is absent — that's expected. But the skill also instructs the agent to detect install path to set X-Skill-Platform (inspecting ~/.clawhub/ and ~/.cursor/skills/) and references reading a config path in metadata; that requires filesystem checks outside pure upload/render functionality and is scope creep. The skill also directs uploading user videos to the external domain (expected) and to include Authorization and attribution headers on every request.
Install Mechanism
Instruction-only skill with no install spec or code files — lowest install risk. All runtime behaviour is via API calls; nothing is written to disk by an installer.
Credentials
Only one primary credential is declared (NEMO_TOKEN) which is proportionate for a cloud rendering service. The runtime flow will generate an anonymous token if none is provided; that is reasonable but means the agent will perform network auth on the user's behalf. The unexplained metadata configPath (~/.config/nemovideo/) suggests it might also read local configuration, which is not justified by the description.
Persistence & Privilege
always:false and no special privileges requested. The skill uses ephemeral sessions and does not request persistent system-wide configuration changes. Autonomous invocation is allowed by default but is not combined with other high-risk flags.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install component-generator
  3. After installation, invoke the skill by name or use /component-generator
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of component-generator — generate video components from uploaded footage via cloud AI. - Upload MP4, MOV, AVI, WebM files up to 500MB for automatic AI component generation - Instantly create intro, outro, and lower-third video components without manual editing - Cloud-based rendering: returns finished, downloadable video files (up to 1080p MP4) in 30–90 seconds - Tracks credits, handles session setup, and guides through upload, export, and state management - Includes concise prompt-based workflow, error handling, and easy credit management for fast results
Metadata
Slug component-generator
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Component Generator?

Skip the learning curve of professional editing software. Describe what you want — generate intro, outro, and lower-third components from my video — and get... It is an AI Agent Skill for Claude Code / OpenClaw, with 67 downloads so far.

How do I install Component Generator?

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

Is Component Generator free?

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

Which platforms does Component Generator support?

Component Generator is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Component Generator?

It is built and maintained by tk8544-b (@tk8544-b); the current version is v1.0.0.

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