The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.
# Add to your Claude Code skills
git clone https://github.com/FlorianBruniaux/claude-code-ultimate-guideGuides for using ai agents skills like claude-code-ultimate-guide.
Last scanned: 4/21/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-04-21T06:02:58.781Z",
"semgrepRan": false,
"npmAuditRan": true,
"pipAuditRan": true
}See how claude-code-ultimate-guide compares with popular alternatives.
claude-code-ultimate-guide is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by FlorianBruniaux. The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines. It has 6,128 GitHub stars.
Yes. claude-code-ultimate-guide passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/FlorianBruniaux/claude-code-ultimate-guide" and add it to your Claude Code skills directory (see the Installation section above).
claude-code-ultimate-guide is primarily written in Python. It is open-source under FlorianBruniaux on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh claude-code-ultimate-guide against similar tools.
No comments yet. Be the first to share your thoughts!
Based on votes and bookmarks from developers who liked this skill
⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
claude-code-ultimate-guide vs hermes agent
See comparison
Learn Claude Code, build reliable agents, and scale their use safely. The website is the primary reading and discovery interface. This repository contains the canonical Markdown sources, reusable files, machine-readable indexes, and contribution history.
Start here: complete a first task online · browse the guide portal · open the complete sitemap · read the Markdown source
The table below is generated from machine-readable/navigation.json. The same contract feeds the public sitemap, so the repository and website expose the same intent model.
| Intent | Browse online |
|---|---|
| Start | Guide portal · Quick Start · Learning Paths · Quick Reference · AI Roles |
| Build | Agent Harness Engineering · Loop & Graph Engineering · Context Engineering · Memory Systems · Workflows · Methodologies · MCP or CLI? · Examples |
| Scale | Security · Enterprise Governance · Observability · Team Metrics · Team Adoption · AI FinOps · LLM Market Snapshot · Subscription Strategy · AI Unit Economics · Team Knowledge · API Gateway |
| Resources | Resource Hub · Downloads · Cheat Sheets · Ebooks · Diagrams · Ecosystem · Compare · Glossary · FAQ · Guide MCP Server · Related Projects |
| Updates | Guide Changelog · Claude Code Releases · RSS Feed |
Claude Code documentation explains the product. This guide connects product behavior to engineering decisions: what belongs in context, when to use an agent instead of a skill, how to verify generated work, and which controls matter when usage moves beyond one developer.
| Need | Start with |
|---|---|
| Understand Claude Code internals | Architecture and Tools Reference |
| Design agent systems | Agent Harness Engineering and Loop & Graph Engineering |
| Structure AI-assisted delivery | Methodologies and Workflow Guides |
| Establish a security boundary | Security Hardening and Sandbox Isolation |
| Validate understanding | Knowledge Quiz and Recap Cards |
The guide favors explicit trade-offs and verifiable procedures. Where evidence is incomplete, the relevant page should preserve that limit instead of presenting one workflow as universal.
Choose one installation method:
# npm, macOS, Linux, or Windows
npm install -g @anthropic-ai/claude-code
# macOS with Homebrew
brew install claude-code
# macOS or Linux native installer
curl -fsSL https://claude.ai/install.sh | sh
Windows PowerShell also supports:
irm https://claude.ai/install.ps1 | iex
Verify the installation and authenticate:
claude --version
claude doctor
claude auth login
The Quick Start chapter documents installation alternatives, authentication, updates, permission modes, and common first-day failures.
Open a small repository with a clean or understood Git state, then start Claude Code:
cd your-project
claude
Give Claude a bounded request that includes the expected result and verification:
Explain how this project runs its tests. Do not modify files.
Name the relevant commands and cite the files that define them.
Before asking Claude to edit code, add a project-level CLAUDE.md that records the commands and constraints Claude must follow:
# Project instructions
## Commands
- Test: `npm test`
- Lint: `npm run lint`
## Boundaries
- Do not edit generated files.
- Do not change dependencies without approval.
- Run the relevant tests before claiming completion.
Continue with the first workflow or use the starter CLAUDE.md templates.
| Situation | Suggested route |
|---|---|
| New to Claude Code | Seven-module learning path |
| Already using the CLI | Core Concepts, then Context Engineering |
| Senior developer or tech lead | Methodologies, Agent Harness Engineering, then Production Safety |
| Engineering manager or CTO | Adoption Approaches, Team Metrics, then Subscription Strategy |
| Security or platform role | Security Hardening, Enterprise Governance, then Observability |
| Product manager or designer | Product Manager Guide or Design-to-Code Workflow |
| Non-developer knowledge worker | Claude Cowork Guide |
For a personalized route, use the repository onboarding prompt:
claude "Fetch and follow the onboarding instructions from: https://raw.githubusercontent.com/FlorianBruniaux/claude-code-ultimate-guide/main/tools/onboarding-prompt.md"
An agent is one component of a larger system. The surrounding harness controls context, tools, permissions, state, stopping conditions, recovery, and evaluation.
| Resource | Decision it supports |
|---|---|
| Agent Harness Engineering | Identify the controls required around an agent loop |
| Loop & Graph Engineering | Choose bounded feedback loops or explicit workflow graphs |
| Agent Harness Map | Distinguish runtimes, orchestrators, frameworks, control planes, and support to |