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debugging-wizard

Parses error messages, traces execution flow through stack traces, correlates log entries to identify failure points, and applies systematic hypothesis-driven methodology to isolate and resolve bugs. Use when investigating errors, analyzing stack traces, finding root causes of unexpected behavior, troubleshooting crashes, or performing log analysis, error investigation, or root cause analysis.

68

Quality

82%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

64%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A solid debugging skill with strong actionability through concrete, executable commands across multiple languages and a clear output template. The main weaknesses are the lack of explicit feedback loops in the workflow (important for iterative debugging), some verbosity in the constraints section stating things Claude already knows, and unverifiable reference files. The reference table structure is well-designed but the bundle is missing.

Suggestions

Add explicit feedback loops to the core workflow, e.g., 'If hypothesis disproved → return to step 3 with new theory' and 'After fix → re-run reproduction steps to confirm resolution'

Trim the MUST DO / MUST NOT DO constraints to only non-obvious items; remove entries like 'Assume you know the cause' and 'Guess without testing' which Claude already understands

Ensure bundle files exist for all five referenced paths, or remove the reference table if they don't exist

DimensionReasoningScore

Conciseness

Generally efficient but includes some unnecessary padding. The constraints section has items Claude already knows (e.g., 'don't guess without testing', 'don't assume you know the cause'). The debugging commands section, while useful, includes inline comments explaining basic debugger operations that Claude already understands.

2 / 3

Actionability

Provides fully executable commands for multiple languages (Python pdb, Node.js inspect, Go delve, git bisect) with concrete syntax. The output template gives a clear structure for deliverables. Commands are copy-paste ready with practical inline annotations.

3 / 3

Workflow Clarity

The 5-step core workflow is clearly sequenced and logical, but lacks explicit validation checkpoints between steps. For debugging—which involves destructive changes and hypothesis testing—there are no feedback loops (e.g., 'if hypothesis disproved, return to step 3'). The constraints list partially compensates but doesn't integrate into the workflow sequence.

2 / 3

Progressive Disclosure

The reference table is well-structured with clear 'Load When' guidance, showing good intent for progressive disclosure. However, no bundle files were provided, so the referenced files (references/debugging-tools.md, etc.) cannot be verified to exist. The main SKILL.md also includes substantial inline content (debugging commands) that could arguably live in the referenced files, creating some redundancy with the reference structure.

2 / 3

Total

9

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a strong skill description that excels across all dimensions. It provides specific concrete actions, comprehensive natural trigger terms, explicit 'Use when...' guidance, and occupies a clearly distinct debugging/error-investigation niche. The description is concise yet thorough, using proper third-person voice throughout.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: parses error messages, traces execution flow through stack traces, correlates log entries, applies systematic hypothesis-driven methodology to isolate and resolve bugs.

3 / 3

Completeness

Clearly answers both what (parses error messages, traces execution flow, correlates log entries, applies hypothesis-driven methodology) and when (explicit 'Use when...' clause with multiple trigger scenarios including investigating errors, analyzing stack traces, finding root causes, troubleshooting crashes, log analysis).

3 / 3

Trigger Term Quality

Excellent coverage of natural terms users would say: 'errors', 'stack traces', 'root causes', 'unexpected behavior', 'crashes', 'log analysis', 'error investigation', 'root cause analysis', 'troubleshooting'. These are all terms users naturally use when debugging.

3 / 3

Distinctiveness Conflict Risk

Clearly occupies a distinct niche around debugging and error investigation with specific triggers like 'stack traces', 'root cause analysis', 'log analysis', and 'error investigation' that are unlikely to conflict with other skills like general coding or testing skills.

3 / 3

Total

12

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
Jeffallan/claude-skills
Reviewed

Table of Contents

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