Systematic debugging and problem-solving methodology. Activate when encountering unexpected errors, service failures, regression bugs, deployment issues, or...
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install debug-methodologyOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install debug-methodologyβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/debug-methodology/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Debug Methodology can do for your AI workflow
Systematic debugging directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Debug Methodology
Help me get started with Debug Methodology
Explains what Debug Methodology does, walks through the setup, and runs a quick demo based on your current project
Use Debug Methodology to systematic debugging and problem-solving methodology
Invokes Debug Methodology with the right parameters and returns the result directly in the conversation
What can I do with Debug Methodology in my developer & devops workflow?
Lists the top use cases for Debug Methodology, with example commands for each scenario
Guides & tutorials for AI skills
Debug Methodology extends your AI assistant with the ability to systematic debugging and problem-solving methodology. Activate when encountering unexpected errors, service failures, regression bugs, deployment issues, or... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Debug Methodology as its underlying capability.
Debug Methodology works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Debug Methodology once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Debug Methodology installs like any other MCP skill: drop the folder into `~/.claude/skills/debug-methodology/` for global access, or `.claude/skills/debug-methodology/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/debug-methodology`, or let the AI decide when it's the right tool for your request.
Debug Methodology has 936 installs and is part of the growing Developer & DevOps skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/debug-methodology/ for personal use (all projects), or .claude/skills/debug-methodology/ for project-specific use. Restart your AI client, then invoke with /debug-methodology or let the AI discover it automatically.
Debug Methodology supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Debug Methodology is free to install. Check the repository for licensing information.
Systematic debugging and problem-solving methodology. Activate when encountering unexpected errors, service failures, regression bugs, deployment issues, or...
Links
Automate my developer & devops tasks using Debug Methodology
Identifies repetitive steps in your workflow and sets up Debug Methodology to handle them automatically
MCP vs traditional plugins: what's the difference?
Debug Methodology is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.