documentation-generation-doc-generate

You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user guides, and technical references using AI-powered analysis and industry best practices.

Quality

58%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

Securityby

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/documentation-generation-doc-generate/SKILL.md

Quality

Content

50%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The skill body is concise and reasonably structured, but its instructions are abstract rather than executable, the workflow lacks validation checkpoints, and the one reference it points to is missing from the bundle.

Suggestions

Replace abstract directives with concrete, executable guidance — e.g., specific linters (markdownlint, vale), CI snippet, or a command to extract docstrings.

Add explicit validation checkpoints (e.g., 'Verify generated docs against source; re-run on mismatch') with a feedback loop before finalizing.

Either create 'resources/implementation-playbook.md' or fix the path to match the actual bundle location so the reference resolves.

Dimension	Reasoning	Score
Conciseness	The body is lean with no over-explanation of concepts Claude already knows; minor redundancy from repeating the playbook reference in both Instructions and Resources keeps it just below fully lean.	4 / 5
Actionability	Instructions are high-level directives ('Extract information from code, configs, and comments', 'Add automation (linting, CI) and validate accuracy') with no concrete commands, code, or specific tooling — minimal concrete guidance.	2 / 5
Workflow Clarity	A rough sequence is listed (identify, extract, generate, add automation) but validation is only mentioned as a final task with no checkpoint or feedback loop; checkpoints are implicit.	3 / 5
Progressive Disclosure	Sections are organized and there is a single one-level-deep reference, but the referenced file 'resources/implementation-playbook.md' does not exist in any bundle directory, so navigation is broken despite clear signaling.	3 / 5
	Total	12 / 20 Passed

Description

66%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description states concrete capabilities clearly but omits any explicit 'when to use' trigger guidance, capping completeness. It is mostly distinct and uses reasonable natural terms, though some are generic.

Suggestions

Add an explicit 'Use when...' clause naming concrete trigger phrases (e.g., generating API docs from code, standardizing repository documentation, building doc pipelines).

Drop the buzzword tail 'using AI-powered analysis and industry best practices' which adds no actionable signal.

Include common synonyms/extensions users say ('docstrings', 'README', 'SDK docs', '.md') to broaden trigger coverage.

Dimension	Reasoning	Score
Specificity	Lists several concrete actions ('Generate API docs, architecture diagrams, user guides, and technical references') with a clear domain, but 'AI-powered analysis and industry best practices' is generic padding that keeps it just below comprehensive.	4 / 5
Completeness	It clearly answers 'what' but has no 'Use when...' clause or equivalent explicit trigger guidance, which the guidelines cap at 3; the 'when' is only weakly implied.	3 / 5
Trigger Term Quality	Contains natural terms a user might say ('API docs', 'architecture diagrams', 'user guides', 'technical references', 'documentation'), with only minor variations missing; it does not reach full synonym/extension coverage.	4 / 5
Distinctiveness Conflict Risk	'Documentation generated from code' is a fairly distinct niche with limited overlap; minor conflict risk with general doc/writing skills, but mostly distinguishable.	4 / 5
	Total	15 / 20 Passed

Validation

93%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: administrakt0r/AI-Agents-Safe-Coding-Skills
Path: plugins/AI-Agents-Safe-Coding-Skills/skills/documentation-generation-doc-generate/SKILL.md
Commit: 57c135b

Reviewed: 3 days ago

Table of Contents

Discovery Implementation Validation

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.