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Claude Code

Organization
taracodlabs
claude-code

Delegate coding and file edits to Anthropic Claude Code CLI

Overview

Publishertaracodlabs
Repositoryaiden
Skill nameclaude-code
Stars
852
Forks
150
Bundled files
1
LicenseApache-2.0
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Claude Code 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/taracodlabs/aiden/tree/main/skills/claude-code
  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/taracodlabs/aiden.git /tmp/aiden
mkdir -p .claude/skills
cp -r /tmp/aiden/skills/claude-code .claude/skills/claude-code
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Claude Code 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 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 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 Agent Bridge

Delegate complex multi-file coding tasks, refactoring, and code review to Anthropic Claude Code CLI. Claude Code has deep IDE integration and can make targeted edits across an entire codebase.

When to Use

  • Task requires deep multi-file refactoring beyond a single script
  • User wants an expert code review with inline suggestions
  • Task requires reading, understanding, and rewriting large codebases
  • User wants to pair-program with an AI that can navigate projects
  • Task requires complex TypeScript/Python/Rust code generation

How to Use

1. Install Claude Code

powershell
# Requires Node.js 18+
npm install -g @anthropic-ai/claude-code

# Verify installation
claude --version

# Authenticate (requires Anthropic API key)
$env:ANTHROPIC_API_KEY = "sk-ant-..."

2. Run Claude Code on a task

powershell
# Navigate to the project
Set-Location "C:\Users\<you>\myproject"

# Run with a specific task
claude "Refactor the authentication module to use JWT tokens instead of sessions"

3. Non-interactive (headless) mode

powershell
# Run a specific task non-interactively (for automation)
claude --print "Review the function in src/utils.ts and suggest improvements" 

# Pipe output to a file
claude --print "Generate TypeScript interfaces for this JSON schema" | Out-File types.ts

4. Run Claude Code on a specific file

powershell
# Ask Claude to work on a specific file
claude "Fix all TypeScript type errors in src/components/Dashboard.tsx"

# With additional context
claude "The function processPayment in src/payments.ts fails when amount is 0. Fix it."

5. Run in print mode to get a response without editing files

powershell
# Get a code review without applying changes
$review = claude --print "Review src/api.ts for security vulnerabilities and anti-patterns"
Write-Host $review

6. Delegate a complex refactoring task

powershell
# Multi-step task with context
$task = @"
Refactor the codebase to:
1. Extract all database queries from controllers into a repository layer
2. Add TypeScript types for all repository methods  
3. Update all tests to use the new repository interfaces
"@
claude $task

7. Run on a different directory

powershell
claude --directory "C:\Users\<you>\other-project" "Add error handling to all async functions"

Examples

"Refactor my Express API to use async/await everywhere" → Navigate to the project directory and use step 2: claude "Refactor all callback-based Express route handlers to use async/await with proper error handling".

"Review my authentication code for security issues" → Use step 5 with --print to get a review without applying changes.

"Generate TypeScript interfaces for my API response types" → Use step 3 in headless mode, pipe output to a types file.

Cautions

  • Claude Code applies edits directly to files — review changes with git diff after each session
  • ANTHROPIC_API_KEY must be set — Claude Code bills against the Anthropic API
  • Headless mode (--print) does not apply changes — it only returns text
  • For large codebases, scope the task to a specific module or file to avoid context overflow
  • Always commit or stash changes before running Claude Code on a large task, so you can revert if needed

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 AI skill do?

Delegate coding and file edits to Anthropic Claude Code CLI

Why use Claude Code on TypingMind?

Because you install it once and use it with any model. Claude Code 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 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/taracodlabs/aiden/tree/main/skills/claude-code. 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?

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?

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

Is the Claude Code AI skill free?

Yes. It is published on GitHub by taracodlabs under the Apache-2.0 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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