TLDR Project Overview
SkillAI & modelsLets 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.
No other account needed.
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
/overviewor/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