bootstrap

Name: bootstrap
Availability: InStock
Author: jwadhwa2259

Analyze codebases to build knowledge graphs and readiness metrics for monorepos.

Updated Mar 30, 2026

Search Tags:#monorepo #code-analysis #bootstrap #knowledge-graph #ai-readiness #convention-detection #risk-zones

Ready to run

npx skills add https://github.com/jwadhwa2259/codescope --skill bootstrap-jwadhwa2259

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: bootstrap
Source: https://github.com/jwadhwa2259/codescope/tree/main/skills/bootstrap
Command: npx skills add https://github.com/jwadhwa2259/codescope --skill bootstrap-jwadhwa2259

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze your codebase to build the knowledge graph, detect conventions, and identify danger zones. Produces AI readiness score and cross-service dependency map for monorepos.

Core Features & Use Cases

Builds a knowledge graph of project dependencies and service relationships to surface architecture.
Detects coding conventions and risk patterns to guide consistent changes.
Generates AI readiness scores and cross-service maps to inform deployment and governance.

Quick Start

Run the bootstrap command in the project root to generate the knowledge graph, risk map, and AI readiness report.

Frequently Asked Questions about bootstrap

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

FAQPage Schema

How do I build a knowledge graph for a monorepo to visualize cross-service dependencies?▼

AI readiness scores evaluate your codebase for AI integration by detecting coding conventions and risk patterns. This Skill produces readiness artifacts like readiness.md to inform deployment and governance decisions.

How do I detect coding conventions and identify danger zones in a multi-service project?▼

Analyzing a multi-service project's codebase to detect conventions requires an onboard config.yml and project-root context. This Skill processes these inputs to generate service manifests and identify danger zones.

What is the best way to map service dependencies and calculate AI readiness metrics?▼

After generating a knowledge graph and readiness metrics, the next step is reviewing the readiness.md file and service manifests. These artifacts inform deployment strategies and governance for your monorepo.

Does building a codebase knowledge graph require specific configuration files?▼

Yes, building a codebase knowledge graph requires an onboard config.yml file and project-root context. These inputs allow the analysis tool to accurately map conventions, dependencies, and service relationships.