Systematic Debugging
CheckedSystematically identifies and resolves 3D model errors using logical analysis and automated correction techniques.
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 ibrahim-3d/orchestrator-supaconductor --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
ibrahim-3d
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 ibrahim-3d/conductor-orchestrator-superpowers at 76c9b10023.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 76c9b10023
- Scanned
- 11 files, 1,176 lines
About this skill
What it does
This skill provides systematic debugging capabilities for AI agents. It helps identify and resolve issues by analyzing agent behavior, pinpointing error sources, and suggesting corrective actions. The tool facilitates a structured approach to troubleshooting complex workflows within conductor orchestrator superpowers.
When to use it
- When an AI agent's workflow consistently fails or produces unexpected results.
- During the development phase of an AI agent to proactively identify and fix potential issues.
- To diagnose performance bottlenecks in an agent’s execution pipeline.
- After a significant update or change to an agent's configuration, to ensure stability.
Key capabilities
- Behavior analysis
- Error source identification
- Corrective action suggestions
- Workflow troubleshooting
Example prompts
- "Debug the last run of my AI agent and tell me what went wrong."
- "Analyze this agent's workflow for potential bottlenecks."
- "I’m seeing inconsistent results from my agent; can you systematically debug it?"
Tips & gotchas
This skill is designed specifically for use within a conductor orchestrator superpowers environment. Ensure your agent and its associated workflows are properly configured within that system to leverage the full capabilities of this debugging tool.