advanced-performance-tuning
Perform deep performance tuning for extreme optimization
Skill by LgrappaG
Install
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/lgrappag-advanced-performance-tuning
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
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/advanced-performance-tuning
What's inside
- Skill name
advanced-performance-tuning- Description
- Perform deep performance tuning for extreme optimization
- License
- MIT
- Instructions
- 38 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Advanced Performance Tuning Perform deep performance tuning for extreme optimization ## Risk Level **HIGH** ## Core Rules - Profile thoroughly - validate improvements - Test thoroughly before deploying ## Response Pattern ### When Using This Skill 1. Profile deeply 2. Validate the implementation 3. Test edge cases and error conditions 4. Ensure performance meets requirements ## Usage Contexts - Extreme optimization - bottleneck elimination ## What NOT to Do - Premature optimization - maintainability loss - Deploy without testing ## Key Requirements - Understand the use cases before application - Follow the documented response pattern - Validate results in the target environment - Monitor for performance impact ## Further Learning Review related skills and documentation for deeper understanding of related systems and best practices.
From LgrappaG/Workflows-Agents, MIT.
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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Mar 29, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/LgrappaG/Workflows-Agents
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
advanced-performance-tuning skill. Agent Mart. https://agentmart.dev/skills/lgrappag-advanced-performance-tuning (last updated 2026-10-24)