Generate complete, deploy-ready landing pages from any repository. Use when creating a homepage for an open-source project, building a project website, converting a README into a marketing page, or standardizing landing pages across multiple repos.
67
81%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Advisory
Suggest reviewing before use
Quality
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 clearly communicates what the skill does and when to use it. It provides specific, concrete actions with natural trigger terms that users would actually say. The description is concise yet comprehensive, with a clear niche that distinguishes it from related skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Generate complete, deploy-ready landing pages', 'creating a homepage for an open-source project', 'building a project website', 'converting a README into a marketing page', 'standardizing landing pages across multiple repos'. | 3 / 3 |
Completeness | Clearly answers both 'what' (generate complete, deploy-ready landing pages from any repository) and 'when' with an explicit 'Use when...' clause listing four distinct trigger scenarios. | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'landing pages', 'homepage', 'open-source project', 'project website', 'README', 'marketing page', 'repository', 'repos'. These cover a good range of natural variations for this use case. | 3 / 3 |
Distinctiveness Conflict Risk | The description carves out a clear niche: landing pages specifically generated from repositories. The combination of 'landing page' + 'repository/README' context makes it highly distinct and unlikely to conflict with general web development or documentation skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
62%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a well-structured workflow with clear sequencing and a solid validation checkpoint, making it easy to follow the overall process. However, it leans toward specification/documentation rather than actionable, executable guidance—there are no complete code generation templates or working scripts. The content is also somewhat verbose, with detailed CSS variables and 12-section breakdowns that could be offloaded to reference files for better token efficiency.
Suggestions
Provide executable code templates or skeleton HTML/CSS files rather than just class name lists and CSS variable declarations—these would make the skill truly copy-paste actionable.
Move the detailed 12-section generation specification and CSS patterns into a referenced file (e.g., `references/section-spec.md`) to reduce the main skill's token footprint while preserving detail.
Include a concrete, minimal end-to-end example showing actual generated HTML output for a simple repo, so Claude has a clear target to match.
Ensure referenced files (`references/landing-pattern.md`, `assets/`) actually exist in the bundle to support the progressive disclosure claims.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is moderately verbose. While it provides useful structure, several sections could be tightened—e.g., the 12-item section generation list is very detailed and prescriptive in ways Claude could infer, the tips section states obvious things, and the CSS patterns section includes boilerplate variable definitions that pad the token count without adding critical guidance. | 2 / 3 |
Actionability | The skill provides a clear content extraction map and output structure, but lacks executable code examples for the actual generation logic. The CSS snippets are class names and variables rather than complete, usable templates. The command-line interface shown (`/landing-page-generator`) is illustrative but there's no actual implementation—it reads more like a specification than executable guidance. | 2 / 3 |
Workflow Clarity | The 5-step workflow is clearly sequenced from repository analysis through validation. Step 5 includes an explicit validation checkpoint with specific criteria (responsive breakpoints, accessibility checks, link validation), and the overall flow is logical and well-ordered with clear inputs and outputs at each stage. | 3 / 3 |
Progressive Disclosure | The skill references `references/landing-pattern.md` and `assets/` for detailed patterns and templates, which is good progressive disclosure structure. However, no bundle files are provided, so these references are unverifiable. Additionally, the main file itself is quite long (~200 lines) with detailed CSS patterns and section specifications that could have been split into reference files. | 2 / 3 |
Total | 9 / 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 | |
60a4372
Table of Contents
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.