Code Optimization
CheckedAnalyzes and refactors code to improve performance, reduce resource consumption, and enhance maintainability.
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 bytedance/agentkit-samples --skill code-optimization -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
bytedance
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 bytedance/agentkit-samples at db8aaa98a6.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- db8aaa98a6
- Scanned
- 2 files, 365 lines
About this skill
What it does
This skill helps optimize existing code for improved performance. It analyzes provided code snippets and suggests changes to reduce execution time or resource consumption. The optimization can include refactoring, algorithm improvements, or identifying inefficient patterns.
When to use it
- Slow Script Execution: When a Python script takes an unexpectedly long time to run.
- Resource Intensive Tasks: For optimizing computationally heavy tasks like image processing or data analysis.
- Performance Bottlenecks: To identify and improve sections of code that are causing performance slowdowns in larger applications.
- Code Refactoring: When looking for ways to make existing code more efficient and maintainable.
Key capabilities
- Code Analysis
- Optimization Suggestions
- Refactoring Recommendations
- Algorithm Improvement Proposals
Example prompts
- "Optimize this Python function: [paste code here]"
- "Can you suggest improvements for this JavaScript snippet to reduce its runtime? [paste code here]"
- "Analyze this C++ code and identify potential performance bottlenecks. [paste code here]"
Tips & gotchas
The skill's effectiveness depends on the clarity and complexity of the provided code. Providing context about the intended purpose or environment can lead to more targeted optimization suggestions.