Agent skill

Tldr Deep

by parcadei in parcadei/Continuous-Claude-v3

Full 5-layer analysis of a specific function. An agent skill from parcadei/Continuous-Claude-v3.

MITAuto-check passedDevelopment

Install Tldr Deep

skills CLI
$ npx skills add parcadei/Continuous-Claude-v3 --skill tldr-deep -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install parcadei/Continuous-Claude-v3 tldr-deep --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/tldr-deep .claude/skills/tldr-deep && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
tldr-deep
GitHub stars
3.9k
Used in
1 other repo
Token cost
~677 tokens
SKILL.md length
126 words
Files
1
Skills in repo
141
Repo updated
First seen
Licence
MIT

At a glance

Full 5-layer analysis of a specific function. An agent skill from parcadei/Continuous-Claude-v3.

  • Works in 4 steps: Debugging - Need to understand all paths… → Refactoring - Need to know what depends… → Code review - Analyzing complex functions → …
  • Deeply understanding code
  • SKILL.md covers Trigger, Layers, Execution and Output Format, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Tldr Deep is an agent skill from parcadei/Continuous-Claude-v3. Full 5-layer analysis of a specific function. Use when debugging or deeply understanding code.

Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Summarization and Debugging. The repository describes itself as: Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows. The licence is MIT.

When your agent uses it

  • Deeply understanding code
  • Tasks that involve Summarization
  • Tasks that involve Debugging

Example prompts

  • “/tldr-deep”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

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

What it can do on your machine

Read from SKILL.md and the folder at commit d07ff4b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Tldr Deep loads about 677 tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 126 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~677

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from parcadei/Continuous-Claude-v3 at commit d07ff4b, republished under its MIT licence (© parcadei). 126 words, ~677 tokens.

Download SKILL.mdSave it as .claude/skills/tldr-deep/SKILL.md (or your agent's skills folder).
name
tldr-deep
description
Full 5-layer analysis of a specific function. Use when debugging or deeply understanding code.

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

LayerPurposeCommand
L1: ASTStructuretldr extract <file>
L2: Call GraphNavigationtldr context <func> --depth 2
L3: CFGComplexitytldr cfg <file> <func>
L4: DFGData flowtldr dfg <file> <func>
L5: SliceDependenciestldr slice <file> <func> <line>

Execution

Given a function name, run all layers:

bash
# 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

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

Programmatic API

python
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)

© parcadei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/tldr-deep of parcadei/Continuous-Claude-v3.

Open the folder on GitHubat commit d07ff4b

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in parcadei/Continuous-Claude-v3, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Tldr Deep next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Tldr Deep compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tldr Deep this skillparcadei/Continuous-Claude-v33.9k1 repos~677Automated safety check: PassMIT
Staticphp Documentation Synccrazywhalecc/static-php-cli1.9k—~2.2kAutomated safety check: PassMIT
Write The Docssupabase/supabase111k—~3.9kAutomated safety check: PassApache-2.0
Speckit Opsmill Summaryopsmill/infrahub533—~1.4kAutomated safety check: PassApache-2.0
Memstack Development Mentorcwinvestments/memstack423—~1.6kAutomated safety check: PassMIT
Error Decodermohitagw15856/pm-claude-skills1.4k—~678Automated safety check: PassMIT

Similar skills

  • Staticphp Documentation Sync

    crazywhalecc/static-php-cli

    Synchronize bilingual documentation when StaticPHP v3 user-facing or developer-facing documentation must change.

    1.9k GitHub stars~2.2k tokensUpdated 2 days ago
    DevelopmentAuto-check passed
  • Write The Docs

    supabase/supabase

    Official

    Draft new or updated Supabase docs content for a feature or launch, grounded in product intent (Linear when available), a read of the actual code, and the docs style guide.

    111k GitHub stars~3.9k tokensUpdated today
    DevelopmentAuto-check passed
  • Speckit Opsmill Summary

    opsmill/infrahub

    Produce a flow-level summary of the current Claude Code session — executive summary, chronological timeline, and outcomes — written into the active feature directory next to spec.md / plan.md.

    533 GitHub stars~1.4k tokensUpdated today
    DevelopmentAuto-check passed
  • Memstack Development Mentor

    cwinvestments/memstack

    A skill your agent uses when the user says 'teach me', 'explain as you go', 'mentor mode', 'walk me through', 'help me learn', 'explain why', 'learning mode', or wants real-time plain language…

    423 GitHub stars~1.6k tokensUpdated 13 days ago
    DevelopmentAuto-check passed
  • Error Decoder

    mohitagw15856/pm-claude-skills

    Decode an error message or stack trace into a plain-English cause, the exact fix, and how to prevent it.

    1.4k GitHub stars~678 tokensUpdated yesterday
    DevelopmentAuto-check passed
  • Code Summarizer

    ArabelaTso/Skills-4-SE

    Generate concise summaries of source code at multiple scales.

    253 GitHub stars~2.1k tokensUpdated 1 mo ago
    DevelopmentAuto-check passed

More from parcadei/Continuous-Claude-v3

All 141 skills in this repo
  • Compound Learnings

    parcadei/Continuous-Claude-v3

    Transform session learnings into permanent capabilities (skills, rules, agents).

    3.9k GitHub starsUsed in 1 repo~1.6k tokens
    Auto-check: notes
  • Debug Hooks

    parcadei/Continuous-Claude-v3

    Systematic hook debugging workflow. An agent skill from parcadei/Continuous-Claude-v3.

    3.9k GitHub starsUsed in 1 repo~863 tokens
    Auto-check: notes
  • Gradient Methods

    parcadei/Continuous-Claude-v3

    Problem-solving strategies for gradient methods in optimization

    3.9k GitHub starsUsed in 2 repos~1k tokens
    Auto-check: notes
  • Math

    parcadei/Continuous-Claude-v3

    Unified math capabilities - computation, solving, and explanation.

    3.9k GitHub starsUsed in 2 repos~1.6k tokens
    Auto-check: notes
  • Math Model Selector

    parcadei/Continuous-Claude-v3

    Routes problems to appropriate mathematical frameworks using expert heuristics

    3.9k GitHub starsUsed in 2 repos~841 tokens
    Auto-check passed
  • Agentica Claude Proxy

    parcadei/Continuous-Claude-v3

    Guide for integrating Agentica SDK with Claude Code CLI proxy

    3.9k GitHub starsUsed in 1 repo~1k tokens
    Auto-check: notes

Questions about Tldr Deep

What does Tldr Deep do?

Full 5-layer analysis of a specific function. An agent skill from parcadei/Continuous-Claude-v3. Tldr Deep is an agent skill from parcadei/Continuous-Claude-v3. Full 5-layer analysis of a specific function.

When should I use Tldr Deep?

Tldr Deep fits situations like: deeply understanding code; tasks that involve Summarization; tasks that involve Debugging.

How do I install Tldr Deep in Claude Code?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill tldr-deep -a claude-code`. Or copy the skill folder (.claude/skills/tldr-deep in parcadei/Continuous-Claude-v3) into .claude/skills/tldr-deep in your project. Claude Code loads it when a task matches its description.

How do I install Tldr Deep in Codex?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill tldr-deep -a codex`. Or copy the skill folder (.claude/skills/tldr-deep in parcadei/Continuous-Claude-v3) into .agents/skills/tldr-deep in your project. Codex loads it when a task matches its description.

Can I use Tldr Deep in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add parcadei/Continuous-Claude-v3 --skill tldr-deep -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tldr-deep, .gemini/skills/tldr-deep, .github/skills/tldr-deep and .opencode/skills/tldr-deep in your project.

What does Tldr Deep need to run?

SKILL.md names no scripts, command-line tools or credentials: Tldr Deep is instructions for the agent only. Our summary lists: Python 3.

Does Tldr Deep access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Tldr Deep safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Tldr Deep use?

Tldr Deep is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Tldr Deep use?

About 677 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Tldr Deep?

Skills that share tags, products or a category with Tldr Deep: Staticphp Documentation Sync (crazywhalecc/static-php-cli, 1.9k stars), Write The Docs (supabase/supabase, 111k stars), Speckit Opsmill Summary (opsmill/infrahub, 533 stars) and Memstack Development Mentor (cwinvestments/memstack, 423 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tldr Deep?

parcadei (a GitHub user) maintains it in parcadei/Continuous-Claude-v3, which has 3,943 GitHub stars. The repository holds 141 skills in this directory. The repository was last updated on January 26, 2026.

Source: parcadei/Continuous-Claude-v3 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.