Agent skill

systematic-debugging

Root cause analysis for debugging. Use when bugs, test failures, or unexpected behavior have non-obvious causes, or after multiple fix attempts have failed.

Stars 17
Forks 1

Install this agent skill to your Project

npx add-skill https://github.com/CodingCossack/agent-skills-library/tree/main/skills/systematic-debugging

SKILL.md

Systematic Debugging

Core principle: Find root cause before attempting fixes. Symptom fixes are failure.

NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST

Phase 1: Root Cause Investigation

BEFORE attempting ANY fix:

  1. Read Error Messages Carefully

    • Read stack traces completely
    • Note line numbers, file paths, error codes
    • Don't skip warnings
  2. Reproduce Consistently

    • What are the exact steps?
    • If not reproducible → gather more data, don't guess
  3. Check Recent Changes

    • Git diff, recent commits
    • New dependencies, config changes
    • Environmental differences
  4. Gather Evidence in Multi-Component Systems

    WHEN system has multiple components (CI → build → signing, API → service → database):

    Add diagnostic instrumentation before proposing fixes:

    For EACH component boundary:
      - Log what data enters/exits component
      - Verify environment/config propagation
      - Check state at each layer
    
    Run once to gather evidence → analyze → identify failing component
    

    Example:

    bash
    # Layer 1: Workflow
    echo "=== Secrets available: ==="
    echo "IDENTITY: ${IDENTITY:+SET}${IDENTITY:-UNSET}"
    
    # Layer 2: Build script
    env | grep IDENTITY || echo "IDENTITY not in environment"
    
    # Layer 3: Signing
    security find-identity -v
    
  5. Trace Data Flow

    See references/root-cause-tracing.md for backward tracing technique.

    Quick version: Where does bad value originate? Trace up call chain until you find the source. Fix at source.

Phase 2: Pattern Analysis

  1. Find Working Examples - Similar working code in codebase
  2. Compare Against References - Read reference implementations COMPLETELY, don't skim
  3. Identify Differences - List every difference, don't assume "that can't matter"
  4. Understand Dependencies - Components, config, environment, assumptions

Phase 3: Hypothesis and Testing

  1. Form Single Hypothesis - "I think X is root cause because Y" - be specific
  2. Test Minimally - SMALLEST possible change, one variable at a time
  3. Verify - Worked → Phase 4. Didn't work → form NEW hypothesis, don't stack fixes
  4. When You Don't Know - Say so. Don't pretend.

Phase 4: Implementation

  1. Create Failing Test Case

    • Use the test-driven-development skill
    • MUST have before fixing
  2. Implement Single Fix

    • ONE change at a time
    • No "while I'm here" improvements
  3. Verify Fix

    • Test passes? Other tests still pass? Issue resolved?
  4. If Fix Doesn't Work

    • Count attempts
    • If < 3: Return to Phase 1 with new information
    • If ≥ 3: Escalate (below)

Escalation: 3+ Failed Fixes

Pattern indicating architectural problem:

  • Each fix reveals new problems elsewhere
  • Fixes require massive refactoring
  • Shared state/coupling keeps surfacing

Action: STOP. Question fundamentals:

  • Is this pattern fundamentally sound?
  • Are we continuing through inertia?
  • Refactor architecture vs. continue fixing symptoms?

Discuss with human partner before more fix attempts. This is wrong architecture, not failed hypothesis.

Red Flags → STOP and Return to Phase 1

If you catch yourself thinking:

  • "Quick fix for now, investigate later"
  • "Just try changing X"
  • "I'll skip the test"
  • "It's probably X"
  • "Pattern says X but I'll adapt it differently"
  • Proposing solutions before tracing data flow
  • "One more fix" after 2+ failures

Human Signals You're Off Track

  • "Is that not happening?" → You assumed without verifying
  • "Will it show us...?" → You should have added evidence gathering
  • "Stop guessing" → You're proposing fixes without understanding
  • "Ultrathink this" → Question fundamentals
  • Frustrated "We're stuck?" → Your approach isn't working

Response: Return to Phase 1.

Supporting Techniques

Reference files in references/:

  • root-cause-tracing.md - Trace bugs backward through call stack
  • defense-in-depth.md - Add validation at multiple layers after finding root cause
  • condition-based-waiting.md - Replace arbitrary timeouts with condition polling

Related skills:

  • test-driven-development - Creating failing test case (Phase 4)
  • verification-before-completion - Verify fix before claiming success

Expand your agent's capabilities with these related and highly-rated skills.

CodingCossack/agent-skills-library

brainstorming

Collaborative design exploration that refines ideas into validated specs through iterative questioning. Use before any creative work including creating features, building components, adding functionality, or modifying behavior.

17 1
Explore
CodingCossack/agent-skills-library

test-driven-development

Red-green-refactor development methodology requiring verified test coverage. Use for feature implementation, bugfixes, refactoring, or any behavior changes where tests must prove correctness.

17 1
Explore
CodingCossack/agent-skills-library

using-superpowers

Meta-skill enforcing skill discovery and invocation discipline through mandatory workflows. Use when starting any conversation to check for relevant skills before any response, ensuring skill-first workflow before proceeding.

17 1
Explore
CodingCossack/agent-skills-library

requesting-code-review

Use when you need to request a code review for a PR/MR and want a consistent review brief (context, scope, risk areas, test instructions, acceptance criteria) before merge.

17 1
Explore
CodingCossack/agent-skills-library

writing-plans

Structured implementation planning for multi-step development tasks. Use when you have a spec or requirements and need to break work into executable steps.

17 1
Explore
CodingCossack/agent-skills-library

subagent-driven-development

Sequential subagent execution with two-stage review gates for implementation plans. Use when executing multi-task plans in current session, when tasks need fresh subagent context to avoid pollution, when formal review cycles (spec compliance then code quality) are required between tasks, or when you need diff-based validation of each task before proceeding.

17 1
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results