Babysitter micro-optimizer

claude-code development

Babysitter micro-optimizer

Apply language-specific micro-optimizations

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/algorithms-optimization/skills/micro-optimizer" ~/.claude/skills/a5c-ai-babysitter-micro-optimizer && rm -rf "$T"

manifest: library/specializations/algorithms-optimization/skills/micro-optimizer/SKILL.md

tags

#code-optimization #performance-tuning #language-specific #competitive-programming #compiler-hints

source content

Micro-Optimizer Skill

Purpose

Apply language-specific micro-optimizations to squeeze maximum performance from competitive programming solutions.

Capabilities

C++ optimization tricks (fast I/O, pragma optimizations)
Python optimization (PyPy hints, list comprehensions)
Memory layout optimization
Vectorization opportunities
Compiler-specific optimizations

Target Processes

code-level-optimization
io-optimization
memory-optimization

Optimization Catalog

C++ Optimizations

Fast I/O:
```
ios_base::sync_with_stdio(false)
```
Pragma optimizations:
```
#pragma GCC optimize
```
Inline expansion
Loop unrolling
Memory prefetching

Python Optimizations

Use PyPy when possible
List comprehensions over loops
Local variable caching
```
__slots__
```
for classes
Avoiding global lookups

General Optimizations

Branch prediction hints
Cache-friendly data layout
Avoiding unnecessary copies
Bit manipulation tricks

Input Schema

{
  "type": "object",
  "properties": {
    "code": { "type": "string" },
    "language": {
      "type": "string",
      "enum": ["cpp", "python", "java"]
    },
    "optimizationLevel": {
      "type": "string",
      "enum": ["safe", "aggressive", "maximum"]
    },
    "preserveReadability": { "type": "boolean", "default": true }
  },
  "required": ["code", "language"]
}

Output Schema

{
  "type": "object",
  "properties": {
    "success": { "type": "boolean" },
    "optimizedCode": { "type": "string" },
    "appliedOptimizations": { "type": "array" },
    "expectedSpeedup": { "type": "string" },
    "warnings": { "type": "array" }
  },
  "required": ["success", "optimizedCode"]
}