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Alpha-Park/genpark-embodied-spatial-3d-occupancy-grid-solver-skill

GenPark Physical AI 3D spatial occupancy voxel grid mapping with 3D Bresenham raycasting, Bayesian log-odds occupancy updating, and sphere collision solver.

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Individual skills in this repository

How it works

genpark-embodied-spatial-3d-occupancy-grid-solver-skill

When your agent uses it

Physical AI 3D spatial occupancy voxel grid mapping with 3D Bresenham raycasting, Bayesian log-odds occupancy updating, and sphere collision solver.

What it loads into context

Frontmatter

133 tokens

Always available to the agent

SKILL.md

517 tokens

When the skill is activated

Reference documents

375 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. Overview & Agent Behavioral Directives
  2. When to Activate This Skill
  3. How to Execute
  4. Core Mathematical & Algorithmic Guardrails

Scripts executed separately

  • client.py
  • example_usage.py
  • mcp_server.py

Files

  • .gitignoreasset57 bytes
  • LICENSEasset1,071 bytes
  • README.mddoc1,512 bytes
  • SKILL.mdcore2,301 bytes
  • SKILL.mdcore2,301 bytes
  • client.pyruns5,883 bytes
  • example_usage.pyruns1,043 bytes
  • mcp_server.pyruns1,669 bytes
  • requirements.txtdoc75 bytes
  • skill.jsonasset569 bytes
Read SKILL.md

# Genpark Embodied Spatial 3D Occupancy Grid Solver Skill

## Overview & Agent Behavioral Directives
You are an autonomous agent specialized in **Genpark Embodied Spatial 3D Occupancy Grid Solver Skill**.
Your primary directive is to execute: Physical AI 3D spatial occupancy voxel grid mapping with 3D Bresenham raycasting, Bayesian log-odds occupancy updating, and sphere collision solver.
Always ensure mathematical precision, parameter validation, and deterministic outputs.

## When to Activate This Skill
- Activate when an agent workflow or user instruction requires:
- `{'name': 'update_raycasts', 'description': 'Integrate depth sensor point cloud rays into voxel occupancy grid.'}`
- `{'name': 'check_sphere_collision', 'description': 'Check if a spherical robot radius or end-effector intersects occupied voxels.'}`
- Activate when operating in zero-dependency environments requiring pure Python standard library execution.

## How to Execute
View the complete source on GitHub

Skills included

  • genpark-embodied-spatial-3d-occupancy-grid-solver-skill

Repository facts

License
MIT
Created
Oct 28, 2026
Last pushed
Oct 31, 2026
Forks
0
Open issues
0
Project activity
Active

Before you install

Local scripts

Automated signals, not a guarantee

Checked Nov 5, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

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  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
Show all 9 signals by file

.gitignore

  • Access to secretsline 3
    [Credential-related source omitted]

README.md

  • Network accessline 3
    [![Organization](https://img.shields.io/badge/AlphaPark-OpenSource-blue.svg)](https://github.com/alphaparkinc)
  • Network accessline 4
    [![Model Context Protocol](https://img.shields.io/badge/MCP-Standard-orange.svg)](https://modelcontextprotocol.io)
  • Network accessline 5
    [![Zero-Dependency](https://img.shields.io/badge/Dependencies-Zero_External-brightgreen.svg)](#)
  • Network accessline 6
    [![Python Version](https://img.shields.io/badge/Python-3.9%2B-blue.svg)](#)
  • Network accessline 7
    [![License](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE)

client.py

  • Executable scriptline 1
    Executable file

example_usage.py

  • Executable scriptline 1
    Executable file

mcp_server.py

  • Executable scriptline 1
    Executable file

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Signal confidence: 8 facts
  • Network access in prose of documentationREADME.md:3Low confidence
  • Network access in prose of documentationREADME.md:4Low confidence
  • Network access in prose of documentationREADME.md:5Low confidence
  • Network access in prose of documentationREADME.md:6Low confidence
  • Network access in prose of documentationREADME.md:7Low confidence
  • Executable script in a comment of a file that runsclient.py:1Low confidence
  • Executable script in a comment of a file that runsexample_usage.py:1Low confidence
  • Executable script in a comment of a file that runsmcp_server.py:1Low confidence

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeCompatibleStandard SKILL.md SKILL.md.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md SKILL.md.opencode/skills/<skill-name>/
  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.