tldr-overview
Get a token-efficient overview of any project using the TLDR stack
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Menu
Get a token-efficient overview of any project using the TLDR stack
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
Maestro spec-driven development for Claude Code. Load this skill when invoking Maestro commands so workflows stay aligned with LeIndex and the Rust TUI.
Maestro spec-driven development for Gemini CLI. Load this skill when invoking Maestro commands so workflows stay aligned with LeIndex and the Rust TUI.
Maestro spec-driven development for Amp CLI. Load this skill when invoking Maestro commands so workflows stay aligned with LeIndex and the Rust TUI.
Show users how Maestro works - the opinionated setup with hooks, memory, and coordination
Full 5-layer analysis of a specific function for debugging or deep understanding
Maps questions to the optimal LeIndex command
| name | tldr-overview |
| description | Get a token-efficient overview of any project using the TLDR stack |
| user-invocable | true |
Get a token-efficient overview of any project using the TLDR stack.
/maestro:overview or /maestro:tldr-overviewtldr tree . --ext .py # or .ts, .go, .rs
tldr structure src/ --lang python --max 50
Returns: functions, classes, imports per file
tldr calls src/
Returns: cross-file relationships, main entry points
For each entry point found:
tldr cfg src/main.py main # Get complexity
## 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)
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])