Debugging Methodology
CheckedSystematically identifies and resolves software bugs using established debugging methodologies like root cause analysis and fault isolation.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add laurigates/claude-plugins --skill debugging-methodology -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
laurigates
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned laurigates/claude-plugins at 45d1d7dcf6.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 45d1d7dcf6
- Scanned
- 2 files, 243 lines
About this skill
debugging-methodology
What it does
This skill equips AI agents with a structured approach to identify, analyze, and resolve software defects. It transforms vague error reports into actionable diagnostic steps by systematically isolating variables and reproducing issues.
When to use it
- An agent encounters a non-deterministic bug that fails intermittently in production but passes locally.
- You need to generate a comprehensive checklist for reproducing a complex integration failure.
- The agent must explain the root cause of a crash to a non-technical stakeholder using logical deduction.
Key capabilities
- Systematic isolation of variables to pinpoint the source of an error.
- Formulation of precise reproduction steps based on limited context.
- Logical deduction to bridge gaps between observed symptoms and underlying code issues.
- Structured reporting of findings to facilitate human or automated remediation.
Example prompts
- "I'm seeing a 503 error when the user count exceeds 1,000. Use debugging methodology to help me isolate whether this is a database lock or a timeout issue."
- "Analyze this stack trace and guide me through a step-by-step process to reproduce the memory leak in the specific module."
- "I don't know how to trigger this race condition. Apply a debugging strategy to suggest test cases that increase the likelihood of catching it."
Tips & gotchas
Ensure you provide the AI with concrete error logs, stack traces, or environment details; without these inputs, the agent cannot effectively isolate variables. This skill works best when paired with code access or detailed system architecture documentation to validate hypotheses.