code-comment-generator
Generates meaningful comments and documentation for code to improve maintenance and readability. Use when adding documentation to Python or Java code, including function/method docstrings, class documentation, inline explanations for complex logic, and code annotations (TODO, FIXME). Analyzes existing comment style in the codebase to match conventions. Produces clear, concise comments that explain the "why" not just the "what", following best practices for each language.
Install with Tessl CLI
npx tessl i github:ArabelaTso/Skills-4-SE --skill code-comment-generator93
Does it follow best practices?
Validation for skill structure
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 strong skill description that excels across all dimensions. It clearly specifies what the skill does (generates comments and documentation), when to use it (with explicit 'Use when...' clause covering specific scenarios), and includes natural trigger terms developers would use. The description is appropriately scoped to Python and Java code documentation, making it distinctive and unlikely to conflict with other skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'function/method docstrings, class documentation, inline explanations for complex logic, and code annotations (TODO, FIXME)'. Also specifies analyzing existing comment style and producing comments that explain the 'why'. | 3 / 3 |
Completeness | Clearly answers both what ('Generates meaningful comments and documentation for code') AND when ('Use when adding documentation to Python or Java code, including function/method docstrings, class documentation, inline explanations for complex logic, and code annotations'). Has explicit 'Use when...' clause with specific triggers. | 3 / 3 |
Trigger Term Quality | Includes natural keywords users would say: 'documentation', 'Python', 'Java', 'docstrings', 'comments', 'TODO', 'FIXME', 'inline explanations'. Good coverage of terms developers naturally use when requesting code documentation help. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focused specifically on code comments and documentation with distinct triggers like 'docstrings', 'TODO', 'FIXME', 'inline explanations'. Unlikely to conflict with general coding skills or other documentation skills due to specific focus on comment generation. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured, highly actionable skill with excellent workflow clarity and good progressive disclosure. The main weakness is verbosity - the content explains concepts Claude already understands (like 'explain why not what') and provides parallel Python/Java examples throughout that significantly inflate token count. The skill would be more efficient at roughly half its current length.
Suggestions
Consolidate Python and Java examples - show one language inline and reference the other in a separate file (e.g., 'See references/java_examples.md for Java equivalents')
Remove the 'Comment Quality Guidelines' section - Claude already knows these principles; a brief reminder list would suffice
Trim the 'Best Practices Summary' to 3-4 key points that are specific to this skill rather than general commenting wisdom
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is comprehensive but verbose, with extensive examples that could be condensed. Many concepts (like what makes a good comment) are things Claude already knows, and the dual Python/Java examples throughout nearly double the content length. | 2 / 3 |
Actionability | Provides fully executable, copy-paste ready code examples in both Python and Java. Each section includes concrete before/after examples showing exactly how to transform uncommented code into well-documented code. | 3 / 3 |
Workflow Clarity | Clear 6-step workflow with explicit sequence: analyze existing style → understand code → write documentation → add inline comments → document classes → add annotations. Each step has clear criteria and examples. | 3 / 3 |
Progressive Disclosure | Well-structured with clear sections and references to external files (references/comment_examples.md, references/style_guides.md) for detailed content. Main document serves as actionable overview without requiring deep nesting. | 3 / 3 |
Total | 11 / 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 |
|---|---|---|
skill_md_line_count | SKILL.md is long (664 lines); consider splitting into references/ and linking | Warning |
Total | 10 / 11 Passed | |
- Reviewed
Table of Contents
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