codebase-explorer

Analyzes unfamiliar codebases and produces structured architecture maps and risk profiles.

Updated May 2, 2026
One-click install
npx skills add https://github.com/hdeshev/pi-config --skill codebase-explorer-hdeshev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codebase-explorer
Source: https://github.com/hdeshev/pi-config/tree/main/agent/skills/codebase-explorer
Command: npx skills add https://github.com/hdeshev/pi-config --skill codebase-explorer-hdeshev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Inheriting or auditing an unfamiliar codebase is slow and error-prone: reading files linearly produces summaries, not understanding. This Skill replaces ad-hoc exploration with a repeatable protocol that traces how code actually behaves, so you can predict what breaks when something changes. ## Core Features & Use Cases - Archetype Detection: Classifies the repo (frontend, backend API, data pipeline, serverless, library, IaC, CLI, ML system) from signature files and selects a matching exploration strategy. - Vertical Slice Tracing: Follows a single value or record from input to output — render-site traces for frontends, data lineage maps for pipelines, request lifecycles for APIs. - Smell Detection & Risk Profile: Scans for 13+ architectural smells (god objects, hidden schemas, drifting duplicates, shared utility SPOFs) and synthesizes actionable risk statements with explicit unknowns. - Use Case: You inherit a serverless pipeline with no documentation. Trigger the skill to classify it, trace one record through all stages, map inter-stage contracts, and receive a data lineage map plus a prioritized risk report. ## Quick Start Ask the agent to explore this repository and produce an architecture map with a risk profile.

Frequently Asked Questions about codebase-explorer

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

FAQPage Schema
How do I understand an unfamiliar codebase quickly?▼

Use a structured exploration protocol: classify the codebase archetype first, map I/O boundaries and constraints, then trace 3-5 vertical slices from input to output. This produces behavioral understanding rather than shallow file summaries.

How to audit code architecture for technical debt?▼

Scan for architectural smells like god objects, hidden schemas, orphaned errors, and drifting duplicate configs. Combine this with git history analysis to find hot zones, frozen files, and knowledge silos, then synthesize findings into a risk profile.

What codebase types does this exploration method support?▼

It supports eight archetypes: frontend applications, backend APIs, data pipelines, serverless pipelines, libraries/SDKs, infrastructure as code, CLI tools, and ML systems. Each archetype gets a tailored slicing strategy and smell catalog.

Does codebase exploration work without git history?▼

Yes. When git history is missing (orphan branches, fresh repos), the method falls back to maturity signals: git status, remotes, branch state, staged deletions, and file modification times to assess development activity.

When should I not use a full codebase exploration?▼

Skip the full 4-phase protocol when scope is narrow or time is limited — use the Quick Assessment template covering orientation only. It is also unnecessary for small single-file utilities where direct reading is faster.