detect

Detect repository languages, frameworks, and package managers to scope LaunchDarkly SDK onboarding.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/robertsthomas/hellobrand --skill detect-robertsthomas
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: detect
Source: https://github.com/robertsthomas/hellobrand/tree/main/.agents/skills/onboarding/sdk-install/detect
Command: npx skills add https://github.com/robertsthomas/hellobrand --skill detect-robertsthomas

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identify project tech stack and existing LaunchDarkly usage to determine how to integrate the SDK onboarding process.

Core Features & Use Cases

  • Detect languages, frameworks, package managers, and monorepo targets by scanning typical indicator files.
  • Identify application entrypoints and current LaunchDarkly usage to guide integration planning.
  • Use case: For a multi-repo project, quickly map each service's stack to decide which SDKs to install and where to wire them.

Quick Start

Run the detect skill against your repository root to generate a stack report that informs your LaunchDarkly onboarding plan.

Frequently Asked Questions about detect

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

FAQPage Schema
How do I identify a project tech stack for LaunchDarkly SDK onboarding?▼

To identify a project tech stack for LaunchDarkly SDK onboarding, scan repository manifest files like package.json, pyproject.toml, and go.mod to detect languages, frameworks, and package managers. This generates a stack report scoping your integration efforts.

Can I detect existing LaunchDarkly usage in a monorepo?▼

Yes, you can detect existing LaunchDarkly usage in a monorepo. The process scans repository targets to identify current LD usage and application entrypoints, mapping each service's stack to decide which SDKs to install and where to wire them.

What manifest files do I need to detect repository stack and frameworks?▼

Detecting repository stack and frameworks requires examining common manifest files such as package.json, pyproject.toml, requirements.txt, go.mod, and pom.xml. Scanning these indicator files surfaces languages, frameworks, and package managers to determine the appropriate onboarding approach.

Does this stack detection work with multi-repo projects to scope SDK integration?▼

Yes, stack detection works with multi-repo projects to scope SDK integration. It quickly maps each service's stack to determine the appropriate LaunchDarkly SDK onboarding approach and surface an initial integration scope across all repositories.

How do I find application entrypoints to guide LaunchDarkly integration planning?▼

To find application entrypoints to guide LaunchDarkly integration planning, scan the repository root to detect stack indicators and existing LD usage. This surfaces entrypoints and generates a stack report that informs where to wire the SDK.