Building Mechanics
CheckedAnalyzes building structures to identify weaknesses, suggest improvements, and estimate material requirements for repairs.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add bbeierle12/skill-mcp-claude --skill building-mechanics -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
bbeierle12
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned bbeierle12/skill-mcp-claude at 00b298e07e.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 00b298e07e
- Scanned
- 17 files, 10,051 lines
About this skill
What it does
This skill provides a complete building system for Three.js games, focusing on performance optimization, structural physics simulation, and multiplayer networking capabilities. It allows AI agents to analyze and validate building placements, optimize stability, and manage networked building interactions within a game environment. The system offers different physics modes (arcade, heuristic, realistic) to suit various gameplay needs.
When to use it
- Validating Building Placements: To ensure new structures are stable and won't collapse based on defined rules.
- Optimizing Structural Integrity: To suggest improvements or reinforcements for existing building designs.
- Simulating Damage Propagation: To predict how damage affects a structure and potentially cause cascading collapses.
- Managing Multiplayer Building Interactions: To handle simultaneous builds and resolve conflicts between players in networked games.
Key capabilities
- Spatial Indexing: Uses
SpatialHashGridorOctreefor fast queries of nearby building pieces. - Structural Validation: Includes a heuristic validator (similar to those found in Rust/Valheim) to assess stability.
- Physics Modes: Supports Arcade, Heuristic, and Realistic physics simulations.
- Multiplayer Networking: Features client prediction, delta compression, and conflict resolution for networked building systems.
- Damage Propagation: Simulates how damage spreads through a structure.
Example prompts
- "Validate the placement of this new wall piece."
- "What is the stability percentage of this tower?"
- "Simulate the impact of damage to this support beam."
- “How can I optimize this building for multiplayer conflict resolution?”
Tips & gotchas
- The skill's performance depends on the distribution of building pieces; consider using
SpatialHashGridfor uniform distributions andOctreefor clustered bases. - Realistic physics mode is computationally expensive and may impact game performance.
- The system utilizes a server-authoritative model with client prediction for multiplayer functionality.