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Claude Code Mastery

Community
borghei
claude-code-mastery

Use when the user asks to "optimize CLAUDE.md", "create a new skill", "write a custom agent", "configure hooks", "manage context window", "set up MCP servers", "scaffold a skill package", "analyze token budget", "create subagents", "configure permissions", "set up worktrees", or "integrate Claude Code with editors". Covers Claude Code CLI mastery, skill authoring, context engineering, hooks automation, subagent creation, and development workflow optimization.

Overview

Publisherborghei
RepositoryClaude-Skills
Skill nameclaude-code-mastery
Stars
856
Forks
154
Bundled files
11
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 11 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by borghei on GitHub. Read the source before you install it.

Installation

Install the Claude Code Mastery AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/borghei/Claude-Skills/tree/main/engineering/claude-code-mastery
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/borghei/Claude-Skills.git /tmp/Claude-Skills
mkdir -p .claude/skills
cp -r /tmp/Claude-Skills/engineering/claude-code-mastery .claude/skills/claude-code-mastery
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Claude Code Mastery in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Claude Code Mastery on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Claude Code Mastery is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Claude Code Mastery

Expert skill for Claude Code CLI -- CLAUDE.md optimization, skill authoring, subagent creation, hooks automation, and context engineering.

Keywords: claude-code, claude-cli, CLAUDE.md, skill-authoring, subagents, hooks, context-window, token-budget, MCP-servers, worktrees, permission-modes, prompt-engineering, context-engineering, slash-commands

Core Capabilities

  • CLAUDE.md optimization — audit, restructure, compress, and hierarchize config files for token efficiency.
  • Skill authoring — scaffold and write discoverable skill packages with correct layout and frontmatter.
  • Subagent creation — write .claude/agents/<name>.md files with a tools allowlist and a Markdown-body system prompt.
  • Hooks automation — wire PreToolUse/PostToolUse/Stop lifecycle scripts via .claude/settings.json.
  • Context engineering — measure and manage the context-window token budget across a codebase.

When to Use

  • Authoring, structuring, or optimizing a CLAUDE.md file for any project.
  • Scaffolding a new skill package or creating a Claude Code subagent.
  • Configuring hooks for automated quality, security, or workflow steps.
  • Auditing and reducing context-window consumption.

Clarify First

Before scaffolding or optimizing, confirm these inputs. If any is unknown or vague, ASK — do not assume:

  • Which task — scaffold a new skill, optimize a CLAUDE.md, create a subagent, or analyze context budget (selects skill_scaffolder.py vs claudemd_optimizer.py vs context_analyzer.py)
  • Target identity — for a new skill: its name, domain, and one-line description; for optimization: the file or project path (the inputs the scripts require)
  • Token budget — the target ceiling (sets --token-limit and what counts as over-budget)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Quick Start

bash
# Scaffold a new skill package
python scripts/skill_scaffolder.py my-new-skill --domain engineering --description "Brief description"

# Analyze and optimize an existing CLAUDE.md
python scripts/claudemd_optimizer.py path/to/CLAUDE.md

# Estimate context window usage across a project
python scripts/context_analyzer.py /path/to/project

# All tools support JSON output
python scripts/claudemd_optimizer.py CLAUDE.md --json

Tools

ToolPurposeCommand
skill_scaffolder.pyScaffold a new skill package with correct structure + frontmatterpython scripts/skill_scaffolder.py my-skill -d engineering --description "Does X"
claudemd_optimizer.pyScore a CLAUDE.md for structure, tokens, and redundancy with recommendationspython scripts/claudemd_optimizer.py CLAUDE.md --token-limit 4000
context_analyzer.pyEstimate context-window consumption by file category with a budget breakdownpython scripts/context_analyzer.py /path/to/project --max-depth 4

All tools support --json. See references/tool-reference.md for full parameter tables and output formats.

References

Load the reference that matches the task — keep this file lean and pull detail on demand:

  • references/workflows.md — the five numbered playbooks: optimize a CLAUDE.md, author a skill, create a subagent, configure hooks, and manage the context budget. Read when executing any of those tasks step-by-step.
  • references/quick-reference.md — slash commands, permission modes, CLAUDE.md loading order, MCP servers, the troubleshooting table, and success criteria. Read for at-a-glance lookups or when debugging configuration.
  • references/tool-reference.md — full parameter tables and output formats for the three Python tools. Read when scripting the tools or interpreting their JSON output.
  • references/skill-authoring-guide.md — comprehensive reference for writing effective skills, from YAML frontmatter to structure. Read when authoring a skill in depth.
  • references/subagent-patterns.md — guide to creating and using subagents for parallel work and scoped tasks. Read when designing a subagent.
  • references/hooks-cookbook.md — practical hook recipes for code quality, security enforcement, and workflow automation. Read when building hooks.

Templates: assets/skill-template.md, assets/agent-template.md

Scope & Limitations

This skill covers:

  • Authoring, structuring, and optimizing CLAUDE.md files for any project
  • Scaffolding new skill packages with correct directory layout and frontmatter
  • Creating and configuring Claude Code subagents with scoped tool access
  • Analyzing and managing context window token budgets across a codebase

This skill does NOT cover:

Integration Points

SkillIntegrationData Flow
senior-architectArchitecture decisions inform CLAUDE.md structure sectionsArchitecture diagrams and patterns feed into the Architecture Overview section of CLAUDE.md
code-reviewerSubagent creation for automated code reviewClaude Code Mastery creates the agent .md file; Code Reviewer provides the review logic
senior-prompt-engineerPrompt optimization for skill descriptions and agent instructionsPrompt engineering techniques improve YAML frontmatter trigger phrases and agent system prompts (the agent file body)
doc-drift-detectorDetects when CLAUDE.md drifts out of sync with the codebaseContext Analyzer output feeds drift detection; drift findings trigger CLAUDE.md optimization
context-engineAdvanced context management strategiesContext Analyzer provides token budgets; Context Engine applies compression and prioritization
senior-secopsSecurity hooks and permission mode configurationSecOps policies define which tools to deny; Claude Code Mastery configures the permission allowlists

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Claude Code Mastery AI skill do?

Use when the user asks to "optimize CLAUDE.md", "create a new skill", "write a custom agent", "configure hooks", "manage context window", "set up MCP servers", "scaffold a skill package", "analyze token budget", "create subagents", "configure permissions", "set up worktrees", or "integrate Claude Code with editors". Covers Claude Code CLI mastery, skill authoring, context engineering, hooks automation, subagent creation, and development workflow optimization.

Why use Claude Code Mastery on TypingMind?

Because you install it once and use it with any model. Claude Code Mastery is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Claude Code Mastery in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/borghei/Claude-Skills/tree/main/engineering/claude-code-mastery. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Claude Code Mastery?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Claude Code Mastery?

As many as you like. As long as a model supports skills, you can use Claude Code Mastery with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Claude Code Mastery AI skill free?

Yes. It is published on GitHub by borghei under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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