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Vue Component Generator Free

v1.0.0

Get Vue component files ready to post, without touching a single slider. Upload your component descriptions (MP4, MOV, AVI, WebM, up to 200MB), say something...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for mory128/vue-component-generator-free.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Vue Component Generator Free" (mory128/vue-component-generator-free) from ClawHub.
Skill page: https://clawhub.ai/mory128/vue-component-generator-free
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: NEMO_TOKEN
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install vue-component-generator-free

ClawHub CLI

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npx clawhub@latest install vue-component-generator-free
Security Scan
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Purpose & Capability
Name/description (generate Vue components and export video) align with the API endpoints described (upload, render, export). However the metadata and instructions ask the agent to inspect install paths and a nemovideo config directory (~/.config/nemovideo/) which is not obviously required to generate components; that filesystem probing is an extra capability compared to the stated purpose.
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Instruction Scope
Runtime instructions include creating an anonymous token if NEMO_TOKEN is absent, storing a session_id for subsequent requests, probing install paths to set X-Skill-Platform, and an explicit instruction to "Don't display raw API responses or token values to the user." Instructions to "process internally, don't forward" backend tool results and to hide token values increase the chance that sensitive values or opaque backend responses will be kept from the user. The skill also requires uploading user media; make sure uploads are expected and safe. These behaviors expand the agent's discretion beyond simple generation.
Install Mechanism
No install script or third-party downloads are present (instruction-only). That minimizes installation risks — the skill does not write code or binaries to disk by itself.
Credentials
Only NEMO_TOKEN is declared as required which is appropriate for a service-backed renderer. Still, the metadata references a config path (~/.config/nemovideo/) and the SKILL.md instructs automatic anonymous token creation when NEMO_TOKEN is not set. Automatically generating and storing credentials (and hiding them from the user) is a capability that should be justified.
Persistence & Privilege
The skill is not always-enabled and does not request system-wide privileges. It does instruct storing a session_id for ongoing requests which may be persisted; the SKILL.md does not specify where or how long. No evidence it modifies other skills or global agent settings.
What to consider before installing
Before installing, verify where session tokens and any anonymous NEMO_TOKEN are stored and how long they persist; prefer to set your own NEMO_TOKEN with limited scope rather than relying on the skill's anonymous-token workflow. Ask the vendor (or skill author) to clarify why the skill needs to probe install paths or read ~/.config/nemovideo/, and request that API responses or tokens not be hidden from users if you want transparency. Do not upload sensitive or private data (credentials, proprietary code, PII) to the service without confirming its privacy policy and retention. If you want lower risk, run this skill only in a constrained environment and avoid granting it broad autonomous access until you confirm storage/telemetry behavior.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

⚙️ Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk979a9dr5833cp75xhze3skaed84q9j8
66downloads
0stars
1versions
Updated 2w ago
v1.0.0
MIT-0

Getting Started

Send me your component descriptions and I'll handle the AI component generation. Or just describe what you're after.

Try saying:

  • "generate a form component with name, email, and submit button fields into a 1080p MP4"
  • "generate a reusable Vue card component with props for title, image, and description"
  • "generating reusable Vue components from text descriptions for Vue developers"

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 <token>, Content-Type: application/json, and body {"task_name":"project","language":"<detected>"}. 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.

Vue Component Generator Free — Generate and Export Vue Components

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

Say you have a form component with name, email, and submit button fields and want to generate a reusable Vue card component with props for title, image, and description — the backend processes it in about 20-40 seconds and hands you a 1080p MP4.

Tip: more specific descriptions produce cleaner, more accurate component output.

Matching Input to Actions

User prompts referencing vue component generator free, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says...ActionSkip 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":"<lang>"}. 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/<sid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/<sid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/<id> 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: vue-component-generator-free
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else unknown)

Include Authorization: Bearer <NEMO_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 saysYou 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

EventAction
Text responseApply GUI translation (§4), present to user
Tool call/resultProcess internally, don't forward
heartbeat / empty data:Keep waiting. Every 2 min: "⏳ Still working..."
Stream closesProcess 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 Handling

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up credits in your account"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429Rate 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 "generate a reusable Vue card component with props for title, image, and description" — concrete instructions get better results.

Max file size is 200MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.

Export as MP4 for widest compatibility.

Common Workflows

Quick edit: Upload → "generate a reusable Vue card component with props for title, image, and description" → 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.

Comments

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