trailmark-summary

Summarize a codebase by detecting languages, entry points, and dependencies.

Updated Jun 9, 2026

Search Tags:#code analysis #dependency analysis #language detection #codebase overview #trailmark

Ready to run

npx skills add https://github.com/iiammae/opero --skill trailmark-summary-iiammae

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: trailmark-summary
Source: https://github.com/iiammae/opero/tree/main/.agents/skills/trailmark-summary
Command: npx skills add https://github.com/iiammae/opero --skill trailmark-summary-iiammae

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires trailmark, and includes scripts (resource) components.

What problem does it solve?

This Skill provides a fast summary analysis of a codebase, including auto-detected languages, entry point count, and dependency list, to give a quick structural overview.

Core Features & Use Cases

Language Detection: Automatically identifies programming languages in the codebase.
Entry Point Count: Counts the number of entry points in the code.
Dependency List: Lists the dependencies used in the code.
Use Case: Use when vivisect or galvanize needs a quick structural overview of a codebase before deeper analysis.

Quick Start

Run the trailmark-summary skill on the codebase directory with the command: trailmark-summary <codebase-directory>

Frequently Asked Questions about trailmark-summary

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

FAQPage Schema

How do I get a quick structural overview of a codebase before deeper analysis?▼

To get a quick structural overview of a codebase, you can perform a summary analysis that automatically detects programming languages, counts entry points, and lists dependencies. This provides a fast snapshot for initial codebase exploration.

Can I detect programming languages and list dependencies in a codebase directory?▼

Yes, you can detect programming languages and list dependencies in a codebase directory by running a summary analysis command. It identifies the languages used and extracts the dependency list to help you understand the project structure.

Do I need trailmark to perform codebase analysis and language detection?▼

Yes, you need trailmark installed to perform codebase analysis and language detection. The summary analysis relies on trailmark to process the codebase directory, detect languages, and extract dependency information.

What is the best way to count entry points in a codebase for initial exploration?▼

The best way to count entry points in a codebase for initial exploration is to use an automated summary analysis tool. It quickly scans the codebase directory and provides the entry point count alongside language and dependency detection.

When should I use a codebase summary analysis instead of a deep code review?▼

You should use a codebase summary analysis when you need a quick structural overview before a deep code review. It is ideal for initial codebase exploration and quick assessments, providing fast language detection and dependency lists rather than detailed logic analysis.