Unity Performance
CheckedAnalyzes Unity project performance metrics like frame rate, memory usage, and draw calls to identify optimization bottlenecks.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
Unity Performance, not the name it is listed under, so the command below uses that name.- 1
Run this in your project
terminal$ npx skills add cryptorabea/claude_unity_dev_plugin --skill "Unity Performance" -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
cryptorabea
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 cryptorabea/claude_unity_dev_plugin at fe941e1a43.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- fe941e1a43
- Scanned
- 5 files, 3,426 lines
About this skill
What it does
This skill enables AI agents to analyze and optimize Unity game performance directly within the development environment. It provides real-time insights into frame rates, memory usage, and rendering bottlenecks to help maintain smooth gameplay.
When to use it
- Diagnosing sudden drops in frames per second (FPS) during playtesting sessions.
- Identifying memory leaks or excessive garbage collection events causing stuttering.
- Optimizing complex scenes with high polygon counts or heavy shader usage.
- Preparing builds for deployment on hardware-constrained mobile devices.
Key capabilities
- Real-time performance monitoring and profiling.
- Detailed analysis of rendering pipelines and draw calls.
- Identification of CPU and GPU bottlenecks.
- Memory allocation tracking and leak detection.
Example prompts
- "Analyze the current Unity scene for performance bottlenecks affecting frame rate."
- "Profile this build to identify memory usage spikes during gameplay."
- "Optimize the rendering pipeline in this specific level to reduce draw calls."
Tips & gotchas
Ensure your Unity project has profiling tools enabled before running optimization tasks. This skill is most effective when used iteratively, testing changes immediately after applying performance fixes.