ln-813-runtime-optimizer

Apply verified runtime performance fixes using tests and lint checks.

Updated Mar 14, 2026
One-click install
npx skills add https://github.com/0xtaoist/taogate --skill ln-813-runtime-optimizer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ln-813-runtime-optimizer
Source: https://github.com/0xtaoist/taogate/tree/main/ln-813-runtime-optimizer
Command: npx skills add https://github.com/0xtaoist/taogate --skill ln-813-runtime-optimizer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

ln-813-runtime-optimizer fixes runtime performance issues in software projects by applying targeted, surgical code fixes that are verified with tests and lint checks using a keep/discard workflow.

Core Features & Use Cases

  • Prioritized fix loop for blocking IO, sync sleep, allocations, and hot-path optimizations.
  • Deterministic verification through automated tests and linting before changes are kept.
  • Phase-driven workflow including pre-flight checks, loading findings, applying fixes, and generating a final report.

Quick Start

Run the ln-813-runtime-optimizer against a project to load findings, apply validated fixes, and generate a report.

Frequently Asked Questions about ln-813-runtime-optimizer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize runtime performance issues in my codebase?

Runtime performance issues in a codebase are optimized by loading audit findings, prioritizing fixes across modules, and applying surgical changes verified through a keep/discard loop with tests and lint checks.

What is the best way to fix blocking IO and sync sleep performance issues?

Fixing blocking IO and sync sleep performance issues requires a prioritized fix loop that applies targeted surgical optimizations to hot-paths, followed by automated test and lint validation to ensure correctness.

How does the keep/discard verification loop work for code optimizations?

The keep/discard verification loop works by applying targeted code fixes, running deterministic automated tests and linting, and retaining only the changes that pass validation while discarding the rest.

Does the runtime optimizer apply changes directly to the main branch?

The runtime optimizer enforces pre-flight checks and uses isolated worktrees to apply changes, ensuring that surgical fixes are validated independently before any modifications are merged into the main codebase.

What steps are involved in the runtime optimization workflow?

The runtime optimization workflow is a phase-driven process covering pre-flight checks, loading audit findings, iterating through targeted fixes with test verification, and generating a final structured report of applied changes.

Can I use this optimizer for reducing allocations and hot-path optimizations?

Yes, the optimizer specifically targets blocking IO, sync sleep, excessive allocations, and hot-path optimizations by iterating through surgical fixes and enforcing deterministic verification through tests and lint.