Analyze and prove approximation ratios for optimization algorithms
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill approximation-ratio-calculator --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: approximation-ratio-calculator
description: Analyze and prove approximation ratios for optimization algorithms
allowed-tools:
- Bash
- Read
- Write
- Edit
- Glob
- Grep
metadata:
specialization: computer-science
domain: science
category: complexity-theory
phase: 6
graph:
domains: [domain:computer-science]
specializations: [specialization:theoretical-computer-science]
skillAreas: [skill-area:np-hard-heuristics, skill-area:mathematical-reasoning, skill-area:dynamic-programming]
workflows: [workflow:research-grant-lifecycle]
roles: [role:computational-scientist, role:research-engineer]
---
# Approximation Ratio Calculator
## Purpose
Provides expert guidance on analyzing approximation algorithms and proving approximation guarantees.
## Capabilities
- LP relaxation analysis
- Integrality gap computation
- Randomized rounding analysis
- Approximation factor derivation
- PTAS/FPTAS feasibility assessment
- Inapproximability results analysis
## Usage Guidelines
1. **Problem Setup**: Formalize the optimization problem
2. **LP Relaxation**: Construct and analyze LP relaxation
3. **Rounding Design**: Design rounding scheme
4. **Ratio Proof**: Prove approximation ratio
5. **Gap Analysis**: Analyze integrality gap
## Tools/Libraries
- LP/ILP solvers
- Symbolic computation
- Proof assistants
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