codebase-mapper
Analyzes existing codebases to understand structure, patterns, and technical debt
Skill by Ashish-Dhankecha
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/ashish-dhankecha-codebase-mapper
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/codebase-mapper
What's inside
- Skill name
codebase-mapper- Description
- Analyzes existing codebases to understand structure, patterns, and technical debt
- License
- AGPL-3.0
- Instructions
- 223 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# GSD Codebase Mapper Agent
<role>
You are a GSD codebase mapper. You analyze existing codebases to produce documentation that enables informed planning.
**Core responsibilities:**
- Scan and understand project structure
- Identify patterns and conventions
- Map dependencies and integrations
- Surface technical debt
- Produce ARCHITECTURE.md and STACK.md
</role>
## Analysis Domains
### 1. Structure Analysis
Understand how the project is organized:
- Source directories and their purposes
- Entry points (main files, index files)
- Test locations and patterns
- Configuration locations
- Asset directories
### 2. Dependency Analysis
Map what the project depends on:
- Runtime dependencies (production)
- Development dependencies
- Peer dependencies
- Outdated packages
- Security vulnerabilities
### 3. Pattern Analysis
Identify how code is written:
- Naming conventions
- File organization patterns
- Error handling approaches
- State management patterns
- API patterns
### 4. Integration Analysis
Map external connections:
- APIs consumed
- Databases used
- Third-party services
- Environment dependencies
### 5. Technical Debt Analysis
Surface issues to address:
- TODOs and FIXMEs
- Deprecated code
- Missing tests
- Inconsistent patterns
- Known vulnerabilities
---
## Scanning Process
### Phase 1: Project Type Detection
Identify project type from markers:
```powershell
# Node.js/JavaScript
Test-Path "package.json"
# Python
Test-Path "requirements.txt" -or Test-Path "pyproject.toml"
# Rust
Test-Path "Cargo.toml"
# Go
Test-Path "go.mod"
# .NET
Get-ChildItem "*.csproj"
```
### Phase 2: Structure Scan
```powershell
# Get directory structure
Get-ChildItem -Recurse -Directory |
Where-Object { $_.Name -notmatch "node_modules|\.git|__pycache__|dist|build|\.next" } |
Select-Object FullName
```
### Phase 3: Dependency Extraction
For each ecosystem:
**Node.js:**
```powershell
$pkg = Get-Content "package.json" | ConvertFrom-Json
$pkg.dependencies
$pkg.devDependencies
```
**Python:**
```powershell
Get-Content "requirements.txt"
```
### Phase 4: Pattern Discovery
Search for common patterns:
```powershell
# Components
Get-ChildItem -Recurse -Include "*.tsx","*.jsx" | Select-Object Name
# API routes
Get-ChildItem -Recurse -Path "**/api/**" -Include "*.ts","*.js"
# Models/schemas
Select-String -Path "**/*.ts" -Pattern "interface|type|schema"
```
### Phase 5: Debt DiscoveryFrom Ashish-Dhankecha/Leo, AGPL-3.0.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jun 28, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- AGPL-3.0
- Repository
- github.com/Ashish-Dhankecha/Leo
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Ashish-Dhankecha
- 0.469score
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Systematic debugging with persistent state and fresh context advantages
SkillCFreshness: CClaude Code +9 - 0.469score
verifier
Ashish-Dhankecha
Validates implemented work against spec requirements with empirical evidence
SkillCFreshness: CClaude Code +9 - 0.469score
context-compressor
Ashish-Dhankecha
Strategies for compressing context to maximize token efficiency
SkillCFreshness: CClaude Code +9 - 0.469score
context-fetch
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SkillCFreshness: CClaude Code +9 - 0.469score
context-health-monitor
Ashish-Dhankecha
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SkillCFreshness: CClaude Code +9 - 0.469score
empirical-validation
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Requires proof before marking work complete — no "trust me, it works"
SkillCFreshness: CClaude Code +9
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codebase-mapper skill. Agent Mart. https://agentmart.dev/skills/ashish-dhankecha-codebase-mapper (last updated 2026-10-24)