How does it help with capacity planning?

It generates a dimension table that estimates requests per second, data growth, and memory needs for current, 10x, and 100x scenarios based on your current implementation.

Can it detect specific performance issues in code?

Yes, it specifically scans for performance anti-patterns like N+1 database queries, unbounded collections, large file reads into memory, and a lack of pagination.

What does the outline-load skill actually analyze?

It traces the path of a request through your code, analyzing entry points, processing logic (CPU/IO), and data egress to predict how the system will behave under various load conditions.

Is this skill restricted to web APIs?

No, it can analyze any system or component path, including CLI tools, event handlers, cron jobs, and internal background workers.

What is the primary output of the skill?

It produces a structured Markdown Load Profile that includes a risk assessment, identified bottlenecks with file references, and a scaling recommendation (scale-ready vs redesign required).

System Load Profiler

Name: System Load Profiler
Author: LayerDynamics

byLayerDynamics

0•

Analytics & Monitoring

Maps system load characteristics and traffic patterns to identify scaling bottlenecks and resource consumption risks.

The outline-load skill helps developers assess the architectural scalability of their components by systematically mapping ingress, processing, and egress flows. It enables Claude to estimate resource usage—including CPU, memory, and storage—under current, 10x, and 100x traffic scenarios. By identifying critical bottlenecks such as N+1 queries, unbounded collections, and missing pagination directly from the source code, this skill provides a data-driven foundation for infrastructure planning and performance optimization.

Key Features

01Maps request flows from ingress points to data egress and external service calls

02Classifies component processing as CPU-bound, I/O-bound, or memory-bound

03Detects performance anti-patterns like N+1 queries and global state bottlenecks

04Estimates resource consumption for current and 100x scaling scenarios

050 GitHub stars

06Generates detailed Load Profiles with specific file-and-line bottleneck locations

Use Cases

01Auditing legacy codebases to find architectural risks before migrating to the cloud

02Forecasting infrastructure capacity requirements for future data and traffic growth

03Preparing a microservice for high-traffic events by identifying potential breaking points

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add layerdynamics/lore outline-load

For use in Claude.ai and ChatGPT