TLDR Project Overview

SkillAI & models

Lets your agent get a quick, token-efficient overview of any project using the TLDR stack.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the TLDR Project Overview skill

About this capability

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

What this skill tells your AI

The instructions your AI receives, as published by parcadei/continuous-claude-v3 in .claude/skills/tldr-overview/SKILL.md and read by ahel’s review.

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)

When NOT to Use

  • Already familiar with the project
  • Working on a specific file (use targeted tldr commands instead)
  • Test files (need full context)

Programmatic Usage

from tldr.api import get_file_tree, get_code_structure, build_project_call_graph

# 1. Tree
tree = get_file_tree("src/", extensions={".py"})

# 2. Structure
structure = get_code_structure("src/", language="python", max_results=50)

# 3. Call graph
calls = build_project_call_graph("src/", language="python")

# 4. Complexity for hot functions
for edge in calls.edges[:10]:
    cfg = get_cfg_context("src/" + edge[0], edge[1])

Signals

GitHub stars
4k
Forks
300
Last commit
Jan 2026
Advanced
Catalog kind
skill
Gateway key
tldr-overview
Source
github.com/parcadei/continuous-claude-v3