generate-project-profile

To generate project profiles from a codebase, use this Skill to extract language, build config, entities, APIs, and coding conventions into standardized Markdown files. It produces project-profile.md, business-context.md, and coding-conventions.md optimized for AI context loading.

The best way to extract business context and transaction boundaries is generating a business-context.md file. This Skill analyzes the codebase to document data models, entity state machines, core workflows, and transaction boundaries with evidence anchors for accurate design reviews.

Yes, you can analyze a monorepo to extract coding conventions for code generation. The Skill detects multi-module services and produces a coding-conventions.md file summarizing naming, exception patterns, and response wrappers to ensure safe automated code generation.

This project profile generator works with multi-module services, monorepos, and single-service projects. It detects service registration names and modules to create a compact project-profile.md index for fast context loading across various project structures.

Evidence anchors in generated documentation prevent AI hallucination during impact analysis by providing traceable sources. The Skill extracts entities, services, and events with evidence anchors so engineers can verify data models and interface capabilities without guessing.

To prepare AI agents for code generation workflows, run this Skill to produce targeted Markdown files. It generates a project index, business context, and coding conventions with evidence sources, creating optimized, vectorizable context for AI-driven code generation.