Debug through a structured root-cause process instead of guesswork. Use when commands fail, tools behave unexpectedly, automations break, integrations only p...
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install jisang1000-systematic-debuggingOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install jisang1000-systematic-debuggingβ 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/jisang1000-systematic-debugging/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Systematic Debugging can do for your AI workflow
Through a structured 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 Systematic Debugging
Help me get started with Systematic Debugging
Explains what Systematic Debugging does, walks through the setup, and runs a quick demo based on your current project
Use Systematic Debugging to debug through a structured root-cause process instead of guesswork
Invokes Systematic Debugging with the right parameters and returns the result directly in the conversation
What can I do with Systematic Debugging in my developer & devops workflow?
Lists the top use cases for Systematic Debugging, with example commands for each scenario
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Systematic Debugging extends your AI assistant with the ability to debug through a structured root-cause process instead of guesswork. Use when commands fail, tools behave unexpectedly, automations break, integrations only p... 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 Systematic Debugging as its underlying capability.
Systematic Debugging 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 Systematic Debugging 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.
Getting started with Systematic Debugging takes about two minutes. Place the skill at `~/.claude/skills/jisang1000-systematic-debugging/` (personal, all projects) or `.claude/skills/jisang1000-systematic-debugging/` (project-specific), then restart your AI client. From that point, typing `/jisang1000-systematic-debugging` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Systematic Debugging has 436 installs and is part of the growing Developer & DevOps skill ecosystem on DiscoverAISkills. 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/jisang1000-systematic-debugging/ for personal use (all projects), or .claude/skills/jisang1000-systematic-debugging/ for project-specific use. Restart your AI client, then invoke with /jisang1000-systematic-debugging or let the AI discover it automatically.
Systematic Debugging supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Systematic Debugging is free to install. Check the repository for licensing information.
Debug through a structured root-cause process instead of guesswork. Use when commands fail, tools behave unexpectedly, automations break, integrations only p...
Systematic Debugging
Four-phase debugging framework that ensures root cause investigation before attempting fixes. Never jump to solutions.
Debugging R Environment And Dependencies
Diagnose and fix R environment issues, including package installation failures, dependency conflicts, system library problems, renv errors, and Bioconductor...
Writing Plans
Break work into clear, ordered plans before execution. Use when a task is multi-step, long-running, easy to derail, or needs coordination across tools, files...
Automate my developer & devops tasks using Systematic Debugging
Identifies repetitive steps in your workflow and sets up Systematic Debugging to handle them automatically
Systematic Debugging is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.