Tldr Overview

When you land in an unfamiliar codebase, this gives you the lay of the land without burning through your context window. It chains together four TLDR commands: file tree filtered by extension, code structure showing functions and classes per file, a call graph to map how things connect, and complexity metrics on the entry points. You get a structured overview that costs a fraction of the tokens you'd spend dumping raw files. Skip it if you already know the project or you're debugging a specific function, but for that first day on a new repo, it beats grep and wishful thinking.

skills.sh installs: 487
GitHub stars: 3.9K
last updated: Aug 21, 2026

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Install

$ npx -y skills add parcadei/continuous-claude-v3 --skill tldr-overview --agent claude-code

Installs into .claude/skills of the current project.

Files

TLDR Project Overview

Get a token-efficient overview of any project using the TLDR stack.

Trigger

/overview or /tldr-overview
"give me an overview of this project"
"what's in this codebase"
Starting work on an unfamiliar project

Execution

1. File Tree (Navigation Map)

tldr tree . --ext .py    # or .ts, .go, .rs

2. Code Structure (What Exists)

tldr structure src/ --lang python --max 50

Returns: functions, classes, imports per file

3. Call Graph Entry Points (Architecture)

tldr calls src/

Returns: cross-file relationships, main entry points

4. Key Function Complexity (Hot Spots)

For each entry point found:

tldr cfg src/main.py main  # Get complexity

Output Format

## Project Overview: {project_name}

### Structure
{tree output - files and directories}

### Key Components
{structure output - functions, classes per file}

### Architecture (Call Graph)
{calls output - how components connect}

### Complexity Hot Spots
{cfg output - functions with high cyclomatic complexity}

---
Token cost: ~{N} tokens (vs ~{M} raw = {savings}% savings)

SKILL.md on GitHub