Claude Code Guide is a reference collection for configuring and using Claude Code, Anthropic’s command-line coding agent. Developers use it to learn commands, skills, agents, MCP, automation, security, integrations, and troubleshooting. Its catalogue add-ons provide many of the documented skills and agents.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add zebbern/claude-code-guide --skill code-to-diagramgit clone --depth 1 https://github.com/zebbern/claude-code-guideWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/zebbern/claude-code-guide/code-to-diagram)<a href="https://agentmods.dev/skills/zebbern/claude-code-guide/code-to-diagram"><img src="https://agentmods.dev/badge/skills/zebbern/claude-code-guide/code-to-diagram/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zebbern/claude-code-guide/code-to-diagram"><img src="https://agentmods.dev/badge/skills/zebbern/claude-code-guide/code-to-diagram.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00074 | $0.00923 |
| Opus 5.5 | $0.00030 | $0.00369 |
| Sonnet 5.5 | $0.00015 | $0.00185 |
| Haiku 4.5 | $0.00007 | $0.00092 |
Grade A, and why
code-to-diagram scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- code-to-diagram — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code to Diagram
Extract import and dependency relationships from a codebase via AST parsing, and automatically generate three types of diagrams:
- Architecture Diagram — Module/directory-level dependency relationships
- Flowchart — File-level import call chains
- Org Chart — Directory/file hierarchy structure
Supported languages: Python, JavaScript, TypeScript, Go, Java
Output formats: Mermaid text (.mmd) or SVG images (requires mmdc installed on the system)
Usage
Basic: Analyze an Entire Project
python3 scripts/analyze_codebase.py /path/to/project
Outputs three Mermaid diagrams to stdout and writes .mmd files to the current directory.
Specify Diagram Type
# Architecture diagram only
python3 scripts/analyze_codebase.py /path/to/project --type architecture
# Flowchart only
python3 scripts/analyze_codebase.py /path/to/project --type flowchart
# Org chart only
python3 scripts/analyze_codebase.py /path/to/project --type org
Specify Output Directory and Format
# Output to a specific directory
python3 scripts/analyze_codebase.py /path/to/project --output /tmp/diagrams
# Output as SVG (requires mmdc)
python3 scripts/analyze_codebase.py /path/to/project --format svg
# Output both Mermaid and SVG
python3 scripts/analyze_codebase.py /path/to/project --format both
Output JSON Analysis Results
python3 scripts/analyze_codebase.py /path/to/project --json
Parameters
| Parameter | Description |
|---|---|
directory |
Code directory to analyze (required) |
--type, -t |
Diagram type: architecture, flowchart, org, all (default: all) |
--output, -o |
Output directory (default: current directory) |
--format, -f |
Output format: mermaid, svg, both (default: mermaid) |
--max-files |
Maximum number of files to scan (default: 500) |
--max-depth |
Maximum depth for org chart (default: 4) |
--json |
Output analysis results in JSON format |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 105 lines · 74 tokens per session scan A 82de1fa72456
code-to-diagram is a skill published in the GitHub repository zebbern/claude-code-guide (4,665 stars, last pushed yesterday), licensed MIT. It adds 74 tokens to every session and 923 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
code-to-chart
A code-structure diagram maker that examines how files and modules depend on one another. It supports Python, JavaScript, TypeScript, Go, and Java, and produces Mermaid text or SVG images.
code-to-diagram
Analyze codebases and automatically generate architecture diagrams, flowcharts, and org charts. Uses AST parsing to map import dependencies for Python, JS/TS, Go, and Java, outputting Mermaid or SVG files. Triggered when users ask to visualize code architecture, understand dependencies, draw a flowchart, or create a…
fin-arch-diagram
A tool for creating architecture diagrams, process flowcharts, and hierarchy trees. These show how system parts, business steps, decisions, or organizational levels relate to one another.
tech-diagram
Use this skill when the user wants to turn a description into a technical diagram — architecture diagrams, flowcharts, sequence diagrams, state machines, ER diagrams, class diagrams, or mind maps. Generates brand-consistent Mermaid that the DesireCore chat renders inline as SVG, with a semantic shape/arrow vocabulary…
diagram-creator
Create professional diagrams using Mermaid, PlantUML, and other text-based diagram tools. Generate flowcharts, sequence diagrams, architecture diagrams, and more.
document-generation
Generates structured documents including architecture diagrams (Mermaid), usage manuals, progress reports, and API documentation from code analysis.