trailmark-summary

Name: trailmark-summary
Availability: InStock
Author: ayehiaa

Summarizes target codebase by detecting languages, entry points, dependencies via Trailmark CLI.

Updated May 2, 2026

Search Tags:#codebase analysis #language detection #entrypoints #structural overview #dependency discovery #trailmark

Ready to run

npx skills add https://github.com/ayehiaa/my-travel-assistant --skill trailmark-summary

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It quickly summarizes an unfamiliar codebase by reporting which languages are present, how many entry points exist, and what dependencies the code relies on.

Core Features & Use Cases

Auto-detected languages: Produces parser-based language detection for the target directory so you can choose the right next analysis steps.
Entry point enumeration: Returns the number of entry points to help you understand what the application considers as starting locations.
Dependency listing: Extracts a dependency list to support orientation, dependency mapping, and planning for deeper work.
Use cases: Use it during Vivisect Phase 0 to orient before decomposition, during Galvanize Phase 1 to inform decomposition strategy, or whenever you need a fast structural snapshot before deeper graph or hotspot analysis.

Quick Start

Ask it to run a Trailmark summary on your project folder, for example: "Run trailmark summary for ./my-repo."

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 structural overview of an unfamiliar codebase?▼

A codebase structural overview is generated by running a Trailmark summary with language auto-detection, which reports detected languages, entry points, and dependencies to help you orient before deeper analysis.

How do I detect programming languages and entry points in a project directory?▼

Language detection and entry point enumeration are performed by running Trailmark with auto-detection and the --summary flag, returning parser-based language results and a count of application starting locations.

Can I list project dependencies before starting code decomposition?▼

Dependency listing is supported by running a Trailmark summary, which extracts a dependency list to support orientation, dependency mapping, and planning for deeper structural decomposition work.

What is the best way to orient before detailed code-graph analysis?▼

Orienting before code-graph analysis is best done by producing a fast structural snapshot using Trailmark, which summarizes languages, entry points, and dependencies without fabricating results.

Does Trailmark summary require any external dependencies to run?▼

Trailmark summary requires no external dependencies to run, allowing you to directly execute the summary command on your project folder to retrieve the structural overview without additional setup.