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claude-code-guide skill

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This skill helps you configure and use Claude Code effectively with templates, prompts, and debugging strategies to boost coding automation.

This is most likely a fork of the claude-code-guide skill from xfstudio

npx playbooks add skill sickn33/antigravity-awesome-skills --skill claude-code-guide

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md

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---
name: Claude Code Guide
description: Master guide for using Claude Code effectively. Includes configuration templates, prompting strategies "Thinking" keywords, debugging techniques, and best practices for interacting with the agent.
---

# Claude Code Guide

## Purpose

To provide a comprehensive reference for configuring and using Claude Code (the agentic coding tool) to its full potential. This skill synthesizes best practices, configuration templates, and advanced usage patterns.

## Configuration (`CLAUDE.md`)

When starting a new project, create a `CLAUDE.md` file in the root directory to guide the agent.

### Template (General)

```markdown
# Project Guidelines

## Commands

- Run app: `npm run dev`
- Test: `npm test`
- Build: `npm run build`

## Code Style

- Use TypeScript for all new code.
- Functional components with Hooks for React.
- Tailwind CSS for styling.
- Early returns for error handling.

## Workflow

- Read `README.md` first to understand project context.
- Before editing, read the file content.
- After editing, run tests to verify.
```

## Advanced Features

### Thinking Keywords

Use these keywords in your prompts to trigger deeper reasoning from the agent:

- "Think step-by-step"
- "Analyze the root cause"
- "Plan before executing"
- "Verify your assumptions"

### Debugging

If the agent is stuck or behaving unexpectedly:

1. **Clear Context**: Start a new session or ask the agent to "forget previous instructions" if confused.
2. **Explicit Instructions**: Be extremely specific about paths, filenames, and desired outcomes.
3. **Logs**: Ask the agent to "check the logs" or "run the command with verbose output".

## Best Practices

1. **Small Contexts**: Don't dump the entire codebase into the context. Use `grep` or `find` to locate relevant files first.
2. **Iterative Development**: Ask for small changes, verify, then proceed.
3. **Feedback Loop**: If the agent makes a mistake, correct it immediately and ask it to "add a lesson" to its memory (if supported) or `CLAUDE.md`.

## Reference

Based on [Claude Code Guide by zebbern](https://github.com/zebbern/claude-code-guide).

Overview

This skill is a master guide for using Claude Code effectively, bundling configuration templates, prompting strategies, debugging techniques, and practical best practices. It helps teams set up agent guidance, craft higher-quality prompts, and troubleshoot agent behavior for reliable coding workflows.

How this skill works

The guide inspects project context and provides concise configuration templates to orient the agent on commands, code style, and workflow expectations. It supplies trigger phrases for deeper reasoning, step-by-step debugging steps, and iterative patterns to minimize risk when making code changes. Use it as a checklist and prompt library when interacting with Claude Code or similar agentic coding tools.

When to use it

Onboard a new project to make agent behavior consistent across contributors
Create prompts that require multi-step reasoning or root-cause analysis
Debug unexpected agent outputs or when the agent appears confused
Establish coding style and workflow expectations for automated edits
Run iterative development cycles where small, verifiable changes are required

Best practices

Provide a short project-guidelines file listing run/test/build commands and code-style rules
Keep context narrow: locate relevant files with search tools instead of pasting the whole codebase
Use ‘thinking’ keywords like “Think step-by-step” and “Verify your assumptions” to trigger deeper reasoning
Iterate with small changes, verify results, then request follow-ups
Be explicit about file paths, command output, and desired outcomes to reduce ambiguity

Example use cases

Set up an agent for a React + TypeScript project with rules for hooks and styling
Ask the agent to analyze failing tests with the command output and a root-cause plan
Guide the agent to implement a small feature, run tests, and report results iteratively
Recover after confusing behavior by instructing the agent to clear prior context and retry
Create consistent code reviews by providing a checklist of style and security checks

FAQ

How do I get the agent to reason more deeply about a bug?

Include thinking prompts like “Analyze the root cause” and request a step-by-step plan before code changes.

What if the agent makes a wrong change?

Revert the change, correct the mistake explicitly, and ask the agent to summarize the lesson and apply it in the next iteration.