CtrlK
BlogDocsLog inGet started
Tessl Logo

debugging-strategies

Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.

83

1.01x
Quality

Does it follow best practices?

Impact

95%

1.01x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

65%

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

The body is rich with executable, multi-language code examples but is overly long, re-teaches familiar concepts, and references bundle files that are not actually present. It needs trimming and real progressive disclosure.

Suggestions

Move the tool guides, performance-profiling, production-debugging, and checklist material into the referenced bundle files and create those files so the Resources links resolve.

Cut generic advice Claude already knows (rubber-duck debugging, the scientific method, the "Common Debugging Mistakes" and typo checklists) to tighten the body.

Add explicit validation checkpoints to the debugging workflow (e.g., "confirm reproduction is deterministic before hypothesizing") to lift workflow clarity.

DimensionReasoningScore

Conciseness

The ~530-line body rehashes concepts Claude already knows (the scientific method, rubber-duck debugging, binary search, console.table/trace, git bisect basics) alongside genuine code, so it is mostly actionable but padded with unnecessary explanation.

2 / 3

Actionability

It provides concrete, executable examples across languages — TypeScript/DevTools snippets, a VS Code launch.json, Python pdb/cProfile, Go delve/pprof, and git bisect commands — that are copy-paste ready.

3 / 3

Workflow Clarity

The four-phase "Systematic Debugging Process" (Reproduce, Gather Info, Form Hypothesis, Test & Verify) gives a clear sequence with an implicit analyze/repeat loop, but validation checkpoints are implicit rather than explicitly flagged.

2 / 3

Progressive Disclosure

A Resources section signals references (debugging-tools-guide.md, performance-profiling.md, etc.), but those bundle files do not exist on disk and the content that belongs in them is inlined as a monolithic wall of text.

2 / 3

Total

9

/

12

Passed

Description

92%

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

A strong, third-person description with an explicit Use-when trigger and concrete capabilities. Its only weakness is breadth: claiming applicability across any stack and including performance issues risks overlap with more specialized skills.

Suggestions

Narrow the scope claim (replace "any codebase or technology stack") to reduce overlap with performance-tuning or profiling-specific skills.

Add a couple more natural trigger variations such as "debugging an error" or "why is X failing" to broaden real-world phrasing coverage.

DimensionReasoningScore

Specificity

"Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs" lists multiple concrete actions (debugging, profiling, root cause analysis, bug tracking) rather than vague language.

3 / 3

Completeness

It states what the skill does (debugging techniques, profiling, root cause analysis) and gives an explicit "Use when investigating bugs, performance issues, or unexpected behavior" trigger clause.

3 / 3

Trigger Term Quality

"Use when investigating bugs, performance issues, or unexpected behavior" uses natural terms a user would actually say (bugs, performance issues, unexpected behavior).

3 / 3

Distinctiveness Conflict Risk

"across any codebase or technology stack" is broad and the performance-issues trigger could overlap with a dedicated performance-tuning skill, though the debugging/root-cause framing is a recognizable niche.

2 / 3

Total

11

/

12

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (537 lines); consider splitting into references/ and linking

Warning

referenced_paths_exist

Referenced path issues: 6 missing

Warning

Total

14

/

16

Passed

Repository
Dicklesworthstone/pi_agent_rust
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.