Muratori Performance Aware
CheckedOptimizes task execution speed and resource usage based on real-time performance metrics and system load.
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 copyleftdev/sk1llz --skill muratori-performance-aware -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
copyleftdev
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 copyleftdev/sk1llz at 92361f525f.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 92361f525f
- Scanned
- 1 file, 382 lines
About this skill
What it does
The muratori-performance-aware skill allows AI agents to reason about and optimize their own performance. It provides capabilities for self-assessment, identifying bottlenecks in task execution, and suggesting improvements to workflows or prompt strategies. This leads to faster completion times and more efficient resource utilization.
When to use it
- Complex Task Chains: When an agent is struggling with a multi-step process that takes too long.
- Resource Constraints: When the agent needs to operate within limited computational resources (e.g., a low-powered device).
- Iterative Refinement: To help agents learn from their mistakes and improve performance over time through self-analysis.
- Debugging Agent Behavior: When an agent is exhibiting unexpected or inefficient behavior, this skill can provide insights into the root cause.
Key capabilities
- Self-assessment of task execution time
- Identification of performance bottlenecks
- Suggestion of workflow improvements
- Prompt optimization recommendations
Example prompts
- "Analyze my last three attempts at summarizing this document and tell me how I could improve."
- "I'm taking too long to generate these images. What can I do?"
- "Review the steps I took to complete this task and suggest ways to make it faster."
Tips & gotchas
The skill requires access to agent execution logs or performance metrics to function effectively. Ensure that your environment provides sufficient data for analysis; otherwise, suggestions may be inaccurate or unhelpful.