Effective Debugging with Grok (v1.5)
A rigorous 5-phase debugging framework to systematically reproduce, isolate, and resolve complex software bugs.
Free
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Claude Code
Cursor
Codex CLI
Muse
OpenClaw+21 moreClaude CodeCursorCodex CLIMuseOpenClaw
Manus
Grok
Grok Bot+18 agentsEffective Debugging with Grok (v1.5)
Example session with this skill installed
(Actual use case)
- Read your context and instructions
- Compiled the effective debugging
Real-World Case Study: Debugging a Custom MCP Server + Official Inspector
A prolonged debugging session on a Streamable HTTP MCP server (the Full Stack Observatory reference documentation server) illustrated several of the above principles in practice:
• Repeated ZodError and “Unexpected token” failures were eventually traced to raw request bodies being corrupted before reaching the body parser.
• Use of req.on('data') listeners was silently consuming the stream.
• Switching between per-request McpServer instances destroyed the session state the inspector expected.
• The official MCP Inspector proxy maintains its own internal session ID while mapping it to the server’s Mcp-Session-Id header.
Key improvements that resolved the issue
• Switched to the verify callback in express.json() for safe raw-body capture.
• Moved to a single long-lived StreamableHTTPServerTransport for the duration of the inspector connection.
• Consistently used output.txt + read_file instead of pasting terminal content.
This case showed that many apparent “transport” or “protocol” bugs are actually symptoms of weak diagnostic discipline and architectural mismatch with the client’s expectations.
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About this skill
Stop Shotgun Debugging
Most debugging is reactive and chaotic, leading to fragile fixes and wasted time. This skill enforces a rigorous, 5-phase framework that transforms firefighting into a disciplined engineering practice. It moves beyond "making the error go away" to identifying root causes and ensuring lasting resolutions.
High-Signal Diagnostic Process
- Phase 1: Reproduce & Clarify – Establish a verified, minimal reproduction case before touching any code.
- Phase 2: Scope & Isolate – Narrow the problem space to specific modules to prevent "wandering" through the codebase.
- Phase 3: Hypothesis Generation – Generate multiple competing technical explanations and rank them by likelihood.
- Phase 4: Targeted Investigation – Test hypotheses one-by-one with minimal, reversible diagnostic steps.
- Phase 5: Resolution & Prevention – Apply the final fix, verify against regressions, and document the prevention strategy.
Technical Integrity & Safety
Developed with "Terminal Hygiene" in mind, this skill is optimized for high-stakes environments. It prioritizes redirecting logs to files for clean analysis, respects explicit command approval guardrails, and prevents the TUI from hanging during long-running processes. The output is a structured Bug Investigation Summary that serves as perfect documentation for post-mortems or team handoffs.
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- 3
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