Systematic Debugging
CheckedSystematically identifies, isolates, and resolves software bugs using methodical debugging techniques and detailed analysis.
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 ahmedhamadto/software-forge --skill systematic-debugging -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
ahmedhamadto
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 ahmedhamadto/software-forge at cf55920b21.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- cf55920b21
- Scanned
- 6 files, 890 lines
About this skill
What it does
This skill enables AI agents to systematically debug code. It helps identify the root cause of errors by analyzing error messages, stack traces, and code context. The agent can then suggest potential fixes or modifications to resolve the issue, leading to more reliable software.
When to use it
- Troubleshooting failing automated tests: Use this skill when test suites are failing and you need help pinpointing the source of the errors.
- Debugging production issues: When users report bugs in a deployed application, leverage this skill to quickly diagnose and resolve the underlying problem.
- Analyzing unfamiliar codebases: If you're working with new or complex code, use it to understand error patterns and identify potential vulnerabilities.
- Improving developer efficiency: Reduce debugging time by having the AI agent assist in identifying and resolving issues automatically.
Key capabilities
- Error message analysis
- Stack trace interpretation
- Code context examination
- Root cause identification
- Fix suggestion generation
Example prompts
- "Analyze this error message: 'TypeError: Cannot read property 'name' of undefined' and suggest a fix."
- "I’m seeing this stack trace. What is the likely cause?" [paste stack trace]
- “Debug this code snippet and explain why it’s failing.” [paste code]
Tips & gotchas
The skill requires access to relevant code files or repositories to effectively analyze errors and suggest solutions. Providing clear error messages and context will improve the accuracy of its debugging suggestions.