Generate controlled Blender animations in headless mode using Blender Python scripts. Use for programmatic 3D scene creation, camera motion, lighting, rendering, and MP4 animation output without opening the Blender GUI.
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실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
This skill enables automated 3D animation generation using Blender in headless mode. It is designed for controlled, programmatic scene creation and rendering workflows in server or agent environments.
Use this skill when:
Generating 3D animations programmatically
Creating motion graphics using Blender
Rendering animation output without GUI
Automating scene setup, lighting, and camera movement
Do NOT use this skill for:
Arbitrary system command execution
File system exploration outside task scope
Network-based operations unless explicitly required
Scene creation using Blender Python (bpy)
Object animation and transformations
Camera setup and motion
Lighting configuration
Rendering animation to MP4 format
Headless execution (no GUI)
Generate a Blender Python script
Save script to:
/tmp/blender_script.py
Execute Blender in headless mode using:
scripts/run_blender.sh
Output is saved to:
/tmp/output.mp4
Execution is limited to Blender-related operations only
No arbitrary shell commands outside the defined script runner
No modification of system files outside /tmp
No access to sensitive directories (e.g., /etc, /home)
Network access should not be used unless explicitly required
Scripts must only perform scene creation and animation tasks
Avoid large resource usage (default animation limit: 10 seconds)
This skill is intended to run in a controlled or sandboxed environment such as:
Containerized execution (Docker)
Restricted agent runtime
Limited-permission server environment
Always run Blender in headless mode
Never open GUI
Always generate a Python script before execution
Keep animations under 10 seconds unless specified
Always return output file path and logs
Return:
Rendered video file (/tmp/output.mp4)
Blender Python script used
Execution logs
This skill executes generated Python scripts within Blender.
Users should review generated scripts if operating in sensitive environments.
v1.0.1 — Security and safety improvements added
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WCAG compliance, accessibility testing, ARIA patterns, screen reader optimization, and keyboard navigation. Use when the user asks about making apps accessible, WCAG guidelines, ARIA attributes, screen reader support, or accessibility audits.
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Generate AI music using ACE-Step 1.5 via ACE Music's free API. Use when the user asks to create, generate, or compose music, songs, beats, instrumentals, or audio tracks. Supports lyrics, style prompts, covers, and repainting. Free API, no cost.
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A continuously adaptive skill suite that empowers Clawdbot to act as a versatile coder, business analyst, project manager, web developer, data analyst, and NAS metadata scraper. It intelligently discovers free resources, adapts to user context, and ensures reliable, proven guidance across multiple domains.
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High-fidelity intelligence gathering and data assimilation. Focuses on synthesizing fragmented data into a comprehensive target operational picture.
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Use when Codex needs proactive task queues, heartbeat routines, scheduled follow-up, or continuous work loops instead of waiting for prompts.
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Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
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