forest-plot-styler
Beautify meta-analysis forest plots with customizable odds ratio points, confidence interval styles, and subgroup analysis support. Outputs PNG, PDF, or SVG.
77
72%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/Data analysis/forest-plot-styler/SKILL.mdQuality
Discovery
67%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 description excels at specificity and distinctiveness, clearly defining a narrow statistical visualization domain with concrete capabilities. However, it lacks explicit trigger guidance ('Use when...') which limits Claude's ability to know when to select it, and could benefit from additional natural language variations users might employ.
Suggestions
Add a 'Use when...' clause with trigger terms like 'forest plot', 'meta-analysis visualization', 'systematic review chart', or 'effect size diagram'
Include common user phrasings such as 'create forest plot', 'visualize meta-analysis results', or 'plot confidence intervals'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'customizable odds ratio points', 'confidence interval styles', 'subgroup analysis support', and specific output formats (PNG, PDF, SVG). | 3 / 3 |
Completeness | Clearly answers 'what' (beautify forest plots with specific customizations and outputs) but lacks an explicit 'Use when...' clause or trigger guidance for when Claude should select this skill. | 2 / 3 |
Trigger Term Quality | Includes domain-specific terms like 'forest plots', 'meta-analysis', 'odds ratio', 'confidence interval' which experts would use, but missing common variations like 'forest chart', 'effect size plot', or file extensions. | 2 / 3 |
Distinctiveness Conflict Risk | Highly specific niche targeting meta-analysis forest plots with statistical visualization terms; unlikely to conflict with general charting or document skills. | 3 / 3 |
Total | 10 / 12 Passed |
Implementation
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid, actionable skill with excellent executable examples, clear parameter documentation, and robust error handling. However, it suffers from some verbosity in meta-sections about Claude's response format, and includes generic workflow instructions that don't add value specific to forest plot generation. The core technical content is strong but wrapped in unnecessary scaffolding.
Suggestions
Remove or significantly compress the 'Output Requirements' and 'Response Template' sections - these describe Claude's behavior rather than the tool and add ~40 lines of non-essential content.
Tighten the generic 'Workflow' section (steps 1-5) which reads like boilerplate rather than forest-plot-specific guidance.
Consider moving the detailed parameter table to a separate REFERENCE.md file and keeping only the most common parameters inline.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill contains some unnecessary verbosity, particularly in the 'Output Requirements' and 'Response Template' sections which describe Claude's response format rather than the tool itself. The workflow section is somewhat generic and could be tightened. | 2 / 3 |
Actionability | Provides fully executable commands with clear parameter tables, concrete examples for basic usage, custom styling, and subgroup analysis. The demo mode and sample CSV data make it immediately usable. | 3 / 3 |
Workflow Clarity | Clear validation steps including Quick Check commands, explicit error handling with specific error messages, fallback behavior with numbered steps, and data validation rules for OR values and CI bounds. | 3 / 3 |
Progressive Disclosure | Content is well-organized with clear sections, but the skill is monolithic with no references to external files. The Response Template and Output Requirements sections add meta-instructions that could be separated or removed. | 2 / 3 |
Total | 10 / 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
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