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sensory-motor

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Embodied cognition patterns for treating tools as muscles and inputs as senses.

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How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

  1. Open your project in Codex.
  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/ai-llm/brain-andreibesleaga-gabbe-2/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/sensory-motor/. Do not write files or run scripts until I approve.

After I approve, install the complete skill folder, including required referenced files, into that project location. Verify it is discoverable, then tell me its actual invocation name and how to use it. Do not claim it is installed until you have verified it.

Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

Sensory-Motor Skill (Embodied Cognition)

"Intelligence is not a brain in a jar; it is a body in a world."

1. The Body Schema (Proprioception)

An agent must know the state of its "Body" (its available tools and context).

  • Senses: read_file, list_dir, search_web.
  • Muscles: write_to_file, run_command, replace_file_content.
  • Proprioception: "Do I have write access here?", "Is the linter running?", "What is my current working directory?"

2. Multimodal Binding (Perception)

Inputs are not just strings; they are "Percepts" that must be bound together.

  • Visual: Screenshots, images.
  • Auditory: Text-to-speech logs.
  • Symbolic: Code, JSON.
  • The Binding Problem: You must integrate Visual(Error Screenshot) + Symbolic(Log File) into a unified Concept(System Failure).

3. Optimal Feedback Control (Action)

Do not just "fire and forget" commands. Control the "Limb" (Tool) continuously.

  1. Motor Command: run_command(npm test)
  2. Sensory Feedback: Command is taking too long...
  3. Correction: send_command_input(Ctrl+C) (Reflex arc).

4. System Prompt Parameters

### Body State (Proprioception)
- **Muscles Available**: [Bash, Python, FileSystem]
- **Senses Active**: [Linter, TestRunner, Browser]
- **Health**: [Filesystem: RW, Network: Connected]

### Motor Control Policy
"I will not just execute; I will monitor. If a tool fails (muscle failure), I will not hallucinate success. I will acknowledge the physical limitation and try a different strategy."

5. Implementation Example

def execute_motor_command(command):
    # 1. Forward Model: Predict outcome
    expected_duration = estimate_duration(command)
    
    # 2. Motor Command
    process = subprocess.Popen(command)
    
    # 3. Feedback Loop (OFC)
    start_time = time.time()
    while process.poll() is None:
        if time.time() - start_time > expected_duration * 1.5:
             # Reflex: Abort!
             process.kill()
             raise MotorError("Muscle fatigue (Timeout)")
             
    return process.returncode