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/parallel-debugging

Debug complex issues using competing hypotheses with parallel investigation, evidence collection, and root cause arbitration. Use this skill when debugging bugs with multiple potential causes, performing root cause analysis, or organizing parallel investigation workflows.

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wshobson-agents
40k183 skills137 agents93 commands
Install
$ npx -y skills add wshobson/agents --skill parallel-debugging --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/parallel-debugging

Context preview

The summary Claude sees to decide when to auto-load this skill.

Debug complex issues using competing hypotheses with parallel investigation, evidence collection, and root cause arbitration. Use this skill when debugging bugs with multiple potential causes, performing root cause analysis, or organizing parallel investigation workflows.

SKILL.md

parallel-debugging.SKILL.md
name: parallel-debugging
description: Debug complex issues using competing hypotheses with parallel investigation, evidence collection, and root cause arbitration. Use this skill when debugging bugs with multiple potential causes, performing root cause analysis, or organizing parallel investigation workflows.
version: 1.0.2

Parallel Debugging

Framework for debugging complex issues using the Analysis of Competing Hypotheses (ACH) methodology with parallel agent investigation.

When to Use This Skill

  • Bug has multiple plausible root causes
  • Initial debugging attempts haven't identified the issue
  • Issue spans multiple modules or components
  • Need systematic root cause analysis with evidence
  • Want to avoid confirmation bias in debugging

Hypothesis Generation Framework

Generate hypotheses across 6 failure mode categories:

1. Logic Error

  • Incorrect conditional logic (wrong operator, missing case)
  • Off-by-one errors in loops or array access
  • Missing edge case handling
  • Incorrect algorithm implementation

2. Data Issue

  • Invalid or unexpected input data
  • Type mismatch or coercion error
  • Null/undefined/None where value expected
  • Encoding or serialization problem
  • Data truncation or overflow

3. State Problem

  • Race condition between concurrent operations
  • Stale cache returning outdated data
  • Incorrect initialization or default values
  • Unintended mutation of shared state
  • State machine transition error

4. Integration Failure

  • API contract violation (request/response mismatch)
  • Version incompatibility between components
  • Configuration mismatch between environments
  • Missing or incorrect environment variables
  • Network timeout or connection failure

5. Resource Issue

  • Memory leak causing gradual degradation
  • Connection pool exhaustion
  • File descriptor or handle leak
  • Disk space or quota exceeded
  • CPU saturation from inefficient processing

6. Environment

  • Missing runtime dependency
  • Wrong library or framework version
  • Platform-specific behavior difference
  • Permission or access control issue
  • Timezone or locale-related behavior

Evidence Collection Standards

What Constitutes Evidence

| Evidence Type | Strength | Example | | ----------------- | -------- | --------------------------------------------------------------- | | **Direct** | Strong | Code at `file.ts:42` shows `if (x > 0)` should be `if (x >= 0)` | | **Correlational** | Medium | Error rate increased after commit `abc123` | | **Testimonial** | Weak | "It works on my machine" | | **Absence** | Variable | No null check found in the code path |

Citation Format

Always cite evidence with file:line references:

**Evidence**: The validation function at `src/validators/user.ts:87`
does not check for empty strings, only null/undefined. This allows
empty email addresses to pass validation.

Confidence Levels

| Level | Criteria | | ------------------- | ----------------------------------------------------------------------------------- | | **High (>80%)** | Multiple direct evidence pieces, clear causal chain, no contradicting evidence | | **Medium (50-80%)** | Some direct evidence, plausible causal chain, minor ambiguities | | **Low (<50%)** | Mostly correlational evidence, incomplete causal chain, some contradicting evidence |

Result Arbitration Protocol

After all investigators report:

Step 1: Categorize Results

  • **Confirmed**: High confidence, strong evidence, clear causal chain
  • **Plausible**: Medium confidence, some evidence, reasonable causal chain
  • **Falsified**: Evidence contradicts the hypothesis
  • **Inconclusive**: Insufficient evidence to confirm or falsify

Step 2: Compare Confirmed Hypotheses

If multiple hypotheses are confirmed, rank by:

1. Confidence level 2. Number of supporting evidence pieces 3. Strength of causal chain 4. Absence of contradicting evidence

Step 3: Determine Root Cause

  • If one hypothesis clearly dominates: declare as root cause
  • If multiple hypotheses are equally likely: may be compound issue (multiple contributing causes)
  • If no hypotheses confirmed: generate new hypotheses based on evidence gathered

Step 4: Validate Fix

Before declaring the bug fixed:

  • [ ] Fix addresses the identified root cause
  • [ ] Fix doesn't introduce new issues
  • [ ] Original reproduction case no longer fails
  • [ ] Related edge cases are covered
  • [ ] Relevant tests are added or updated
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