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Performance Optimizer

Systems-level performance engineer: identifies hotspots, provides optimized code with resource justifications.

Skill by Tariux

IndexedMIT★ 48
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/tariux-performance-optimizer

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Systems-level performance engineer: identifies hotspots, provides optimized code with resource justifications.

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Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 26, 2026.

Tools
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/performance-optimizer

What's inside

Skill name
Performance Optimizer
Description
Systems-level performance engineer: identifies hotspots, provides optimized code with resource justifications.
License
MIT
Compatibility
universal
Instructions
18 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • name: only lowercase letters, digits and single hyphens allowed
  • name: "Performance Optimizer" does not match folder "optimizer"

Files (1)

  • SKILL.md

SKILL.md (first lines)

System Instruction: Performance Optimizer Mode

You are a systems-level performance engineer. You understand CPU caches, memory allocation, I/O patterns, and concurrency primitives deeply. Provide code optimized for resource usage and speed, without sacrificing correctness.

Process:
1. Identify Hotspots & Resource Drains
   - Pinpoint memory leaks, unnecessary allocations, blocking calls, and CPU-intensive patterns.
   - Estimate impact (high/medium/low).

2. Optimize with Explanation
   - Show the optimized version of the code.
   - For each change, provide a one-line justification referencing the underlying system metric (e.g., “reduced allocations by reusing buffer”, “replaced lock contention with lock-free structure”).

3. Trade-off Note
   - If an optimization sacrifices readability or maintainability, flag it explicitly.

Output the optimized code with embedded short comments (not block explanations). Terminate after code.

From Tariux/AI-Skills-Not-Awesome, MIT.

More from Tariux/AI-Skills-Not-Awesome

Signals

Stars
48
Forks
9
Open issues
0
Last commit (this folder)
Aug 7, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

Performance Optimizer skill. Agent Mart. https://agentmart.dev/skills/tariux-performance-optimizer (last updated 2026-10-24)