skills.rest
aurora-atoms
aurora-atomsCOMMUNITY
Explore all skills by this author →
GitHub

system-mental-model

Map runtime topology, data flows, and control points with source-based evidence.

Updated Jun 1, 2026
Search Tags:#architecture#onboarding#observability#codebase-analysis#system-mapping#runtime-topology
One-click install
npx skills add https://github.com/aurora-atoms/lattice --skill system-mental-model
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: system-mental-model
Source: https://github.com/aurora-atoms/lattice/tree/main/skills/system-mental-model
Command: npx skills add https://github.com/aurora-atoms/lattice --skill system-mental-model

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the cognitive load and uncertainty involved in navigating unfamiliar software systems, services, or codebases by creating evidence-linked mental models.

Core Features & Use Cases

  • Runtime Topology Mapping: Visualizes how a system is structured, identifying entry points, core modules, and data flows.
  • Evidence-Based Validation: Ensures architecture claims are backed by traces, configuration, or tests rather than assumptions.
  • Use Case: Use this during incident response or onboarding to quickly map out the golden path of a service and identify critical control points and potential failure boundaries.

Quick Start

Use the system-mental-model skill to analyze the provided repository and generate a system map including the primary entry points and data flows.

Frequently Asked Questions about system-mental-model

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

FAQPage Schema
How do I map the runtime topology of an unfamiliar codebase?▼

Map runtime topology by analyzing system entry points, tracing data flows, and identifying core modules to build a verifiable structural model. This process links architecture claims directly to source-based evidence for accuracy.

What is the best way to generate an evidence-based architecture map?▼

An evidence-based architecture map is generated by validating system structures against traces, configuration files, and tests rather than assumptions. This ensures your mental model accurately reflects the bounded software system.

How do I quickly understand critical control points during incident response?▼

Understand critical control points during incident response by mapping the golden path of a service and identifying potential failure boundaries. This builds a verifiable mental model for rapid incident comprehension.

Do I need system traces and configuration access to analyze a codebase?▼

Yes, you need access to system entry points, configuration, and traces to analyze a codebase accurately. These inputs ensure provenance and validate the runtime topology data flows within the mental model.

Can I use runtime topology mapping for onboarding to a new service?▼

Yes, you can use runtime topology mapping for onboarding to quickly visualize how a new service is structured. It identifies primary entry points and core modules, reducing the cognitive load of navigating unfamiliar codebases.

Related Skills

Explore More Software Engineering Skills→
C0ntr0lledCha0sC0ntr0lledCha0s
3

investigating-codebases

Map directory structures, trace imports and data flows, and locate entry points in unfamiliar codebases.

Community
Basic
gonzalezpazmonicagonzalezpazmonica
47

postmortem-training

Generates postmortem reports with mental models and improvement heuristics from operational incidents.

Community
Intermediate
automagik-devautomagik-dev
328

report

Investigate bugs and create GitHub issues from code analysis, browser evidence, and observability data.

Official
Advanced
quangphu1912quangphu1912
1

tracing-dependencies

Detects circular dependencies, architectural violations, and conflicts in module graphs via static code analysis.

Community
Advanced