M10 Performance
CheckedAnalyzes system logs and metrics to identify performance bottlenecks and suggest optimization strategies.
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 actionbook/rust-skills --skill m10-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
zhanghandong
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 zhanghandong/rust-skills at 5c40d3ad78.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 5c40d3ad78
- Manifest
- skills/m10-performance/SKILL.md
- Scanned
- 2 files, 482 lines
About this skill
What it does
The m10-performance skill is designed to enhance performance metrics and optimize operations within AI agent workflows. It provides tools for monitoring, analyzing, and improving efficiency in tasks related to processing speed, resource utilization, and task execution time.
When to use it
- When optimizing the runtime of complex AI agent workflows.
- During performance testing or benchmarking of AI systems.
- To identify bottlenecks in data processing pipelines.
- For fine-tuning system resources during high-load scenarios.
Key capabilities
- Real-time performance monitoring
- Resource usage analysis
- Task execution time optimization
- Performance bottleneck identification
Example prompts
- "Analyze the performance of my AI agent's data pipeline and identify bottlenecks."
- "Optimize this workflow to reduce processing time by 20%."
- "Generate a report on resource utilization during peak load."
Tips & gotchas
- Ensure that your system has sufficient resources before running performance tests.
- Use this skill in conjunction with profiling tools for more accurate results.