Content
20%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is organized into sections and lists a high-level workflow, but it is overwhelmingly generic filler with no executable guidance and fails to connect Claude to the actual bundled profiling scripts.
Suggestions
Replace the abstract 'Activate the application-profiler plugin' steps with concrete commands invoking the bundled scripts (e.g. 'python scripts/analyze_results.py <profile.json>').
Delete the non-informative 'Instructions', 'Output', 'Prerequisites', and 'Resources' sections that restate obvious information.
Add a validation checkpoint to the workflow (e.g. confirm the profile captured the target process before reporting bottlenecks) and link to scripts/README.md for tool details.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is padded with generic filler Claude already knows — 'This skill empowers Claude to...', 'The skill produces structured output relevant to the task', 'Project documentation / Related skills and commands' — adding no skill-specific value. | 1 / 3 |
Actionability | There is no executable code or concrete command anywhere; it only describes ('Activate the application-profiler plugin', 'Analyze the application's memory allocation patterns') and never invokes the bundled scripts that actually exist. | 1 / 3 |
Workflow Clarity | 'How It Works' gives a 4-step sequence (identify stack, locate entry points, analyze metrics, generate profile), but steps are abstract and lack any validation checkpoints or concrete verification for a profiling workflow. | 2 / 3 |
Progressive Disclosure | The body is organized into sections, but it never signals or links to the bundled scripts (scripts/analyze_results.py, generate_report.py) or references, so the available bundle material goes unused. | 2 / 3 |
Total | 6 / 12 Passed |