Data & ReproMaterials, Engineering & SimulationFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction

performance-profiling

Maintainer FreedomIntelligence · Last updated April 1, 2026

Identify computational bottlenecks, analyze scaling behavior, estimate memory requirements, and receive optimization recommendations for any computational simulation. Use when simulations are slow, investigating parallel efficiency, planning resource allocation, or seeking performance improvements through timing analysis, scaling studies, memory profiling, or bottleneck detection.

OpenClawNanoClawAnalysisReproductionperformance-profiling📊 data science & toolscomputational simulation & ontologyidentify

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/performance-profiling

Maintainer: FreedomIntelligence
License: MIT
Last updated: April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

Provide tools to analyze simulation performance, identify bottlenecks, and recommend optimization strategies for computational materials science simulations.
python3 scripts/timing_analyzer.py \ --log simulation.log \ --json.

Source Doc

Excerpt From SKILL.md

Requirements

Python 3.8+
No external dependencies (uses Python standard library only)
Works on Linux, macOS, and Windows

Inputs to Gather

Before running profiling scripts, collect from the user:

Input	Description	Example
Simulation log	Log file with timing information	`simulation.log`
Scaling data	JSON with multi-run performance data	`scaling_data.json`
Simulation parameters	JSON with mesh, fields, solver config	`params.json`
Available memory	System memory in GB (optional)	`16.0`

Choosing Analysis Thresholds

Metric	Good	Acceptable	Poor
Phase dominance	<30%	30-50%	>50%
Parallel efficiency	>0.80	0.70-0.80	<0.70
Memory usage	<60%	60-80%	>80%

Use cases

Use when simulations are slow, investigating parallel efficiency, planning resource allocation, or seeking performance improvements through timing analysis, scaling studies, memory profiling, or bottleneck detection.

Not for

Do not rely on this catalog entry alone for installation or maintenance details.

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