Skip to content
TrustedSkillsbeta
Back to all skills

R3F Performance

Checked
bbeierle12·vlatest·frontend·MIT

Analyzes and optimizes resource utilization for improved system performance based on historical data and predictive modeling.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add bbeierle12/skill-mcp-claude --skill r3f-performance -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to 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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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
Manifest
skills/r3f-performance/SKILL.md
Scanned
2 files, 424 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The R3F Performance skill helps optimize render performance within a React-Three-Fiber (R3F) environment. It focuses on techniques like draw call reduction, geometry optimization, smart loading, and profiling to improve frame rates. The skill provides guidance on minimizing rendering time by strategically managing JavaScript execution, GPU rendering, compositing, and buffer usage, aiming for a target of 60fps (16.67ms per frame).

When to use it

  • When experiencing slow or choppy performance in an R3F scene.
  • To optimize scenes with a large number of objects or complex geometry.
  • For mobile applications where minimizing draw calls and disabling antialiasing is crucial for smooth rendering.
  • When needing to reduce the impact of post-processing effects on overall frame rate.
  • To improve performance when dealing with distant or large objects by implementing Level of Detail (LOD) techniques.

Key capabilities

  • Draw Call Reduction: Techniques like instancing, merged geometry, and texture atlases are supported.
  • Geometry Optimization: Guidance on merging geometries for static scene parts.
  • Level of Detail (LOD): Swapping out geometry based on camera distance to reduce complexity.
  • Performance Budgeting: Provides a breakdown of target timings for JavaScript, GPU render, compositing and buffer usage.
  • Adaptive Performance: Allows setting minimum performance levels.

Example prompts

  • "How can I reduce draw calls in my R3F scene?"
  • "What's the best way to optimize geometry for a static environment using React-Three-Fiber?"
  • "Can you show me an example of implementing Level of Detail (LOD) in my R3F project?"

Tips & gotchas

  • Requires familiarity with React and React-Three-Fiber.
  • Merging geometries is most effective for static scene elements.
  • Instancing is ideal for rendering many identical objects efficiently.