protein-struct-viz
Generate PyMOL scripts to highlight specific protein residues in PDB structures. Use this skill when the user needs to visualize specific amino acid residues, create publication-quality protein images, or highlight functional sites in protein structures.
78
67%
Does it follow best practices?
Impact
100%
1.00xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/Data analysis/protein-struct-viz/SKILL.mdQuality
Discovery
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 well-crafted skill description that excels across all dimensions. It provides specific concrete actions, includes natural domain-specific trigger terms that users in structural biology would use, explicitly states both what the skill does and when to use it, and occupies a clear niche that won't conflict with other skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Generate PyMOL scripts', 'highlight specific protein residues', 'visualize specific amino acid residues', 'create publication-quality protein images', 'highlight functional sites'. Uses third person voice correctly. | 3 / 3 |
Completeness | Clearly answers both what ('Generate PyMOL scripts to highlight specific protein residues in PDB structures') and when ('Use this skill when the user needs to visualize specific amino acid residues, create publication-quality protein images, or highlight functional sites'). | 3 / 3 |
Trigger Term Quality | Includes natural keywords users would say: 'PyMOL', 'protein residues', 'PDB structures', 'amino acid residues', 'publication-quality protein images', 'functional sites', 'protein structures'. Good coverage of domain-specific terms. | 3 / 3 |
Distinctiveness Conflict Risk | Very clear niche targeting PyMOL scripting for protein visualization. The combination of 'PyMOL', 'PDB structures', and 'protein residues' creates distinct triggers unlikely to conflict with other skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
35%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is bloated with template boilerplate (risk assessment, security checklists, lifecycle status) that provides no value to Claude while lacking the core actionable content: actual PyMOL script examples showing what gets generated. The single CLI example is helpful but insufficient without showing the output format or providing validation guidance.
Suggestions
Remove the Risk Assessment, Security Checklist, Evaluation Criteria, and Lifecycle Status sections entirely - these are process artifacts, not skill instructions
Add a concrete example showing both the input command AND the generated .pml script output so Claude knows exactly what to produce
Include a validation step: how to verify the generated script works (e.g., 'Open in PyMOL and run: @script.pml')
Move the input parameters table to a reference file and replace with 2-3 complete input/output examples
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Contains significant bloat: risk assessment tables, security checklists, evaluation criteria, lifecycle status, and technical difficulty sections that Claude doesn't need. The actual actionable content is buried under boilerplate. | 1 / 3 |
Actionability | Provides one concrete CLI example with parameters, but lacks the actual generated PyMOL script output or executable Python code. The input parameters table describes rather than demonstrates. | 2 / 3 |
Workflow Clarity | The workflow is implicit (run script → get .pml file → use in PyMOL) but lacks validation steps. No guidance on verifying the generated script works correctly or handling common errors. | 2 / 3 |
Progressive Disclosure | References a 'references/' directory appropriately, but the main file contains too much inline content that should be elsewhere (risk assessment, security checklist, evaluation criteria) while lacking the core technical details that should be present. | 2 / 3 |
Total | 7 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Repository
- aipoch/medical-research-skills
- Commit
ca9aaa4
- 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.