Effective Debugging with Claude
A disciplined 5-phase debugging framework to stop AI guesswork and find root causes using structured investigations.
- Systematically isolate root causes using evidence-based hypotheses.
- Parallelize code exploration using subagents to protect context limits.
- Record a detailed investigation trail for PR descriptions and post-mortems.
Free
One-time purchase
Included in download
- Downloadable skill package
- Works with TaskCreate for trail-tracking (Phase 4), background Bash for long-running tests
- 1 permission declared
Sample Output
A real example of what this skill produces.
Bug Investigation Summary
Hypotheses Tested
- Cache race condition -> Result: Eliminated
- Malformed JSON in hook -> Result: Supported (Confirmed via background logs)
Root Cause Unexpected null in useAuth payload at line 42.
Fix Applied Added null-safe optional chaining in auth-provider.ts:42.
Effective Debugging with Claude
A disciplined 5-phase debugging framework to stop AI guesswork and find root causes using structured investigations.
Free
One-time purchase
Included in download
- Downloadable skill package
- Works with TaskCreate for trail-tracking (Phase 4), background Bash for long-running tests
- 1 permission declared
- Instant install
Sample Output
A real example of what this skill produces.
Bug Investigation Summary
Hypotheses Tested
- Cache race condition -> Result: Eliminated
- Malformed JSON in hook -> Result: Supported (Confirmed via background logs)
Root Cause Unexpected null in useAuth payload at line 42.
Fix Applied Added null-safe optional chaining in auth-provider.ts:42.
About This Skill
What it does
This skill transforms your AI agent from an impulsive "fix-it-now" coder into a disciplined software detective. It enforces a rigorous 5-phase debugging protocol: Reproduce, Scope, Hypothesize, Test, and Resolve. Instead of guessing and overwriting files, the agent uses a gated system that requires evidence-based confirmation before any code is modified.
Why use this skill
Debugging is often where AI agents waste the most tokens and introduce the most regressions. By following this structured workflow, the agent avoids the "wrong fix" trap. It leverages advanced tool capabilities like Explore subagents for broad context gathering, Plan mode for hypothesis approval, and background Bash tasks for long-running test suites. This ensures a clean investigation trail and surgical fixes rather than reckless trial-and-error.
Supported tools
- Grep & Glob: For targeted signal detection in large codebases.
- Explore Subagents: To summarize subsystems without polluting the main context window.
- TaskCreate: For tracking complex, multi-step investigation trails.
- Plan Mode: For explicit user sign-off on testing strategies.
- Background Bash: For running integration tests without blocking the conversation.
Use Cases
- Systematically isolate root causes using evidence-based hypotheses.
- Parallelize code exploration using subagents to protect context limits.
- Record a detailed investigation trail for PR descriptions and post-mortems.
- Verify fixes with mandatory regression testing and prevention steps.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/effective-debugging-with-claude | tar xz -C ~/.claude/skills/Free skills install directly. Paid skills require purchase - use the download button above after buying.
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Security Scanned
Passed automated security review
Permissions
This skill is specifically optimized for **Claude Code**. The phase structure leverages Claude Code's specific affordances — Plan mode for hypothesis approval (Phase 3), the Explore subagent for parallel file investigation (Phase 2), TaskCreate for trail-tracking (Phase 4), background Bash for long-running tests, and the Grep tool's ripgrep-based regex semantics. A Grok-flavored sibling of this skill (`effective-debugging-with-grok`) exists for users on Grok Build CLI / TUI.