Debugging
SkillDev toolsActive bug investigation — reproduce, diagnose, root-cause analysis. Produces debug report for /unipi:fix.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Debugging skill
What this skill tells your AI
The instructions your AI receives, as published by neuron-mr-white/unipi in packages/workflow/skills/debug/SKILL.md and read by ahel’s review.
Active investigation to reproduce, diagnose, and root-cause bugs. Produces a structured debug report that /unipi:fix can consume.
Boundaries
This skill MAY: read codebase, run diagnostic commands, spawn subagents, write debug report to .unipi/docs/debug/.
This skill MAY NOT: edit code, fix issues, run tests that modify state, deploy.
Write-permission clarification: "Read-only" means source/project code is read-only for diagnosis. It does not prohibit creating or updating the debug report. The agent should use available file-writing tools to write exactly the report under .unipi/docs/debug/. If writing that report fails, report the write failure explicitly.
This is diagnosis only — not fixing.
Command Format
/unipi:debug <string(greedy)>
string(greedy)— bug description, error message, or reproduction steps- Source/code read-only sandbox, with explicit permission to write the debug report to
.unipi/docs/debug/ - Spawns subagents if
@unipi/subagentsextension is installed
Output Path
.unipi/docs/debug/YYYY-MM-DD-<topic>-debug.md
Process
Phase 1: Understand the Bug
- Read the bug description carefully
- If unclear, ask clarifying questions (one at a time):
- "What's the expected behavior?"
- "What's the actual behavior?"
- "Steps to reproduce?"
- "When did this start happening?"
- Identify the scope:
- Single function/module
- Integration issue
- System-wide problem
Exit: Bug understood, scope defined.
Phase 2: Reproduce
Attempt to reproduce the issue:
-
Find reproduction path:
- Trace the code flow from entry point
- Identify the failing code path
- Look for error messages, stack traces
-
Run diagnostic commands:
grepfor error messages in codefindrelated files- Check logs if available
- Run read-only test commands if safe
-
If subagents available:
- Spawn explore agents to trace different code paths in parallel
- Each agent reports findings
Exit: Reproduction steps documented (or confirmed unreproducible).
Phase 3: Diagnose
Deep dive into root cause:
-
Trace the failure:
- Start from the error/symptom
- Work backwards to find origin
- Document each step in the chain
-
Check common causes:
- Null/undefined values
- Type mismatches
- Race conditions
- Missing error handling
- Incorrect assumptions
- Off-by-one errors
- State corruption
-
Analyze data flow:
- Input validation
- Transformation steps
- Output format
- Edge cases
-
Check dependencies:
- Recent changes to related code
- External service issues
- Configuration changes
- Version mismatches
Exit: Root cause identified (or hypotheses listed if uncertain).
Phase 4: Document Findings
Write debug report to .unipi/docs/debug/YYYY-MM-DD-<topic>-debug.md using the available file-writing tool. Do not skip this because the investigation is otherwise read-only:
---
title: "{Bug Title} — Debug Report"
type: debug
date: YYYY-MM-DD
severity: {critical|high|medium|low}
status: {root-caused|needs-investigation|unreproducible}
---
# {Bug Title} — Debug Report
## Summary
{One-line description of the bug}
## Expected Behavior
{What should happen}
## Actual Behavior
{What actually happens}
## Reproduction Steps
1. {Step 1}
2. {Step 2}
3. {Step 3}
## Environment
- {Relevant context: OS, version, config}
## Root Cause Analysis
### Failure Chain
1. {Entry point / trigger}
2. {Intermediate step}
3. {Failure point}
### Root Cause
{Detailed explanation of why the bug occurs}
### Evidence
- File: `{file}:{line}` — {what's wrong}
- File: `{file}:{line}` — {related code}
## Affected Files
- `{file}` — {role in the bug}
- `{file}` — {role in the bug}
## Suggested Fix
{High-level approach to fixing — NOT implementation}
### Fix Strategy
1. {Step 1}
2. {Step 2}
### Risk Assessment
- {Risk 1}: {mitigation}
- {Risk 2}: {mitigation}
## Verification Plan
How to verify the fix works:
1. {Test case 1}
2. {Test case 2}
## Related Issues
- {Link to related bugs, PRs, or discussions}
## Notes
{Any additional context, gotchas, or observations}
Phase 5: Present & Handoff
Present summary to user:
"Debug report written to
.unipi/docs/debug/YYYY-MM-DD-<topic>-debug.md"Root Cause: {brief summary} Suggested Fix: {brief summary}
Then suggest:
If root cause found:
/unipi:fix debug:YYYY-MM-DD-<topic>-debug
If needs more investigation:
"Root cause unclear. Need to investigate {area} further."
/unipi:gather-context {area}
If unreproducible:
"Cannot reproduce with current steps. Can you provide more details?"
- Wait for user input
Differences from scan-issues
| Aspect | /unipi:debug | /unipi:scan-issues |
|---|---|---|
| Purpose | Investigate specific bug | Find potential issues |
| Input | Bug report / error message | Scope / category |
| Output | Debug report with root cause | Issue list with priorities |
| Depth | Deep single-issue analysis | Broad codebase scan |
| Handoff | /unipi:fix | /unipi:quick-work or /unipi:brainstorm |
Notes
- Diagnosis only — fixes happen via
/unipi:fix - Debug reports are reusable —
/unipi:fixcan autocomplete them - Subagent support enables parallel code path tracing
- Always document the failure chain — helps verify fixes
- If bug is complex, suggest
/unipi:consultantfor expert analysis
Signals
- GitHub stars
- 64
- Forks
- 15
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
debug-neuron-mr-white- Source
- github.com/neuron-mr-white/unipi