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

52%

Does it follow best practices?

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tessl review fix ./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 sensibly organized with clear use/anti-use scoping, but it offers no executable guidance and relies on a reference file that is not present in the bundle. Validation is mentioned but not operationalized, which caps workflow clarity.

Suggestions

Provide concrete, executable guidance: example commands or a minimal pipeline snippet for extracting from code and producing an API reference, rather than abstract verbs.

Add an explicit validation feedback loop (e.g. lint the generated docs, check for broken cross-references, re-run on failure) since batch doc generation warrants checkpoints.

Fix the dangling reference: either include the actual resources/implementation-playbook.md bundle file or correct the path so progressive disclosure resolves to a real target.

Dimension	Reasoning	Score
Conciseness	The body is lean and well-sectioned with no padding about concepts Claude already knows; the only redundancy is that the opening paragraph repeats the frontmatter description almost verbatim.	4 / 5
Actionability	Guidance is high-level (extract information, generate docs, add automation) with no concrete commands, code, or tool invocations; it describes steps rather than giving executable instruction.	2 / 5
Workflow Clarity	A rough sequence exists (identify types -> extract -> generate -> add automation -> validate), but there are no explicit validation checkpoints or feedback loops, and 'validate accuracy' is asserted without a mechanism — and doc generation is a batch operation, so the rubric caps this at 3.	3 / 5
Progressive Disclosure	Structure is clean and points to resources/implementation-playbook.md for details, but that referenced file does not exist in any bundle directory (references/, scripts/, assets/ are absent) and the path is not clearly signaled with a real one-level-deep reference, leaving navigation to a missing target.	3 / 5
	Total	12 / 20 Passed

Description

55%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 names concrete documentation deliverables and a clear source (code), giving it reasonable specificity, but it omits an explicit 'Use when...' trigger and leans on generic buzzwords that blunt distinctiveness. It reads as a capability statement rather than a trigger-phrase-rich invocation.

Suggestions

Add an explicit trigger clause, e.g. 'Use when generating API/architecture/user docs from a codebase, or when standardizing documentation across a repository.'

Replace buzzword padding ('AI-powered analysis', 'industry best practices') with concrete natural keywords a user would say (e.g. 'API reference', 'user guide', 'architecture diagram from source').

Sharpen distinctiveness by naming the distinguishing trigger (extracting from code) and a negative boundary so it is less likely to fire for general prose writing.

Dimension	Reasoning	Score
Specificity	Lists several concrete artifacts (API docs, architecture diagrams, user guides, technical references) generated from code, but actions are named at the deliverable level rather than as discrete operations like extract/merge/convert.	4 / 5
Completeness	Has a clear 'what' (generate comprehensive docs from code) but no explicit 'Use when...' trigger clause — the 'when' is only implied by the described domain, which per the rubric caps completeness at 3.	3 / 5
Trigger Term Quality	Contains relevant terms (API docs, architecture diagrams, user guides, documentation, code) but lacks the natural variations and file/extension cues users would actually say, and leans on buzzwordy phrases ('AI-powered analysis', 'industry best practices').	3 / 5
Distinctiveness Conflict Risk	The niche (doc generation from code) is somewhat specific, but the broad 'documentation' framing and buzzwords create overlap risk with general writing/explanation skills.	3 / 5
	Total	13 / 20 Passed

Validation

100%

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: rmyndharis/antigravity-skills
Path: skills/documentation-generation-doc-generate/SKILL.md
Commit: 3eff4af

Reviewed: 1 day ago

Table of Contents

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