Tldr Deep Skill for Claude

by parcadei

Full 5-layer analysis of a specific function. Use when debugging or deeply understanding code.

677 tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

3880

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/parcadei/Continuous-Claude-v3 --skill tldr-deep

The instruction itself

7 sections, as written by the author

TLDR Deep Analysis

Full 5-layer analysis of a specific function. Use when debugging or deeply understanding code.

Trigger

/tldr-deep <function_name>
"analyze function X in detail"
"I need to deeply understand how Y works"
Debugging complex functions

Layers

| Layer | Purpose | Command |

|-------|---------|---------|

| L1: AST | Structure | tldr extract <file> |

| L2: Call Graph | Navigation | tldr context <func> --depth 2 |

| L3: CFG | Complexity | tldr cfg <file> <func> |

| L4: DFG | Data flow | tldr dfg <file> <func> |

| L5: Slice | Dependencies | tldr slice <file> <func> <line> |

Execution

Given a function name, run all layers:

# First find the file
tldr search "def <function_name>" .

# Then run each layer
tldr extract <found_file>              # L1: Full file structure
tldr context <function_name> --project . --depth 2  # L2: Call graph
tldr cfg <found_file> <function_name>  # L3: Control flow
tldr dfg <found_file> <function_name>  # L4: Data flow
tldr slice <found_file> <function_name> <target_line>  # L5: Slice

Output Format

## Deep Analysis: {function_name}

### L1: Structure (AST)
File: {file_path}
Signature: {signature}
Docstring: {docstring}

### L2: Call Graph
Calls: {list of functions this calls}
Called by: {list of functions that call this}

### L3: Control Flow (CFG)
Blocks: {N}
Cyclomatic Complexity: {M}
[Hot if M > 10]
Branches:
  - if: line X
  - for: line Y
  - ...

### L4: Data Flow (DFG)
Variables defined:
  - {var1} @ line X
  - {var2} @ line Y
Variables used:
  - {var1} @ lines [A, B, C]
  - {var2} @ lines [D, E]

### L5: Program Slice (affecting line {target})
Lines in slice: {N}
Key dependencies:
  - line X → line Y (data)
  - line A → line B (control)

---
Total: ~{tokens} tokens (95% savings vs raw file)

When to Use

Debugging - Need to understand all paths through a function
Refactoring - Need to know what depends on what
Code review - Analyzing complex functions
Performance - Finding hot spots (high cyclomatic complexity)

Programmatic API

from tldr.api import (
    extract_file,
    get_relevant_context,
    get_cfg_context,
    get_dfg_context,
    get_slice
)

# All layers for one function
file_info = extract_file("src/processor.py")
context = get_relevant_context("src/", "process_data", depth=2)
cfg = get_cfg_context("src/processor.py", "process_data")
dfg = get_dfg_context("src/processor.py", "process_data")
slice_lines = get_slice("src/processor.py", "process_data", target_line=42)

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How to use it

Copy the folder

Take parcadei/tldr-deep from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

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