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cursor-debug-bundle

Debug AI suggestion quality, context issues, and code generation problems in Cursor. Triggers on "debug cursor ai", "cursor suggestions wrong", "bad cursor completion", "cursor ai debug", "cursor hallucination".

67

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

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 highly actionable with concrete Cursor commands and examples, but it carries decorative padding, omits an explicit verification step in its debug workflow, and fails to link the provided reference files.

Suggestions

Drop the ASCII box-drawing and the unverified "80%/15%/5%" breakdown from the Diagnostic Framework to tighten token usage.

Add an explicit final step to the Systematic Debug Workflow such as "Verify: re-run the original prompt and confirm the AI now produces correct output".

Link the existing reference files from the body (e.g., "See [debugging-completions.md](references/debugging-completions.md) for the completion checklist") so progressive disclosure is actually navigable.

DimensionReasoningScore

Conciseness

The body is mostly lean and Cursor-specific, but the decorative ASCII box-drawing and the unverifiable "80%/15%/5%" statistics are padding that could be tightened.

2 / 3

Actionability

It gives concrete, executable guidance throughout — copy-paste-ready `.cursor/rules` YAML, specific commands (Cmd+Shift+P, Cmd+N, npm run build), and exact log paths.

3 / 3

Workflow Clarity

The 5-step Systematic Debug Workflow has a clear sequence with diagnostic decision branches, but lacks an explicit final validation step confirming the fix resolved the issue.

2 / 3

Progressive Disclosure

Bundle files exist in references/ (debugging-chat-issues.md, debugging-completions.md, errors.md, examples.md) but are never linked or signaled from the body, and overlapping content is kept inline rather than split out.

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.

A well-crafted description: third-person, concrete problem areas, explicit trigger phrases, and a distinct Cursor niche. It cleanly answers both what the skill does and when to use it.

DimensionReasoningScore

Specificity

"Debug AI suggestion quality, context issues, and code generation problems in Cursor" names three concrete, specific problem areas rather than vague language, matching the multiple-specific-actions anchor.

3 / 3

Completeness

It states what it does ("Debug AI suggestion quality, context issues, and code generation problems") and gives explicit when-guidance via "Triggers on ...", satisfying both halves.

3 / 3

Trigger Term Quality

Explicit natural phrases like "debug cursor ai", "bad cursor completion", and "cursor hallucination" give good coverage of terms a user would actually say.

3 / 3

Distinctiveness Conflict Risk

The Cursor-specific AI-debugging niche with dedicated trigger phrases is clearly distinguishable and unlikely to fire for unrelated skills.

3 / 3

Total

12

/

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

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

14

/

16

Passed

Repository
jeremylongshore/claude-code-plugins-plus-skills
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.