ai-prompt-files
Create AI editor context files (.cursorrules, CLAUDE.md, GitHub Copilot instructions) that give AI coding tools deep knowledge of a project's API, conventions, and patterns. Use when someone wants their documentation project to work well with Cursor, Claude Code, GitHub Copilot, or other AI coding assistants. Also use when setting up developer experience for AI tools, creating project context files, or making a codebase more AI-assistant-friendly.
100
100%
Does it follow best practices?
Impact
100%
1.02xAverage score across 3 eval scenarios
Passed
No known issues
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 an excellent skill description that hits all the marks. It provides specific concrete actions, includes comprehensive natural trigger terms that users would actually say, explicitly answers both what and when, and carves out a distinct niche that won't conflict with other skills. The description uses proper third person voice throughout.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Create AI editor context files', names specific file types (.cursorrules, CLAUDE.md, GitHub Copilot instructions), and describes what these files provide (deep knowledge of API, conventions, patterns). | 3 / 3 |
Completeness | Clearly answers both what (create AI editor context files with project knowledge) AND when with explicit 'Use when' clause covering multiple trigger scenarios: documentation projects with AI tools, setting up developer experience, creating context files, making codebases AI-friendly. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'Cursor', 'Claude Code', 'GitHub Copilot', 'AI coding assistants', 'AI tools', 'project context files', 'AI-assistant-friendly', '.cursorrules', 'CLAUDE.md', 'developer experience'. | 3 / 3 |
Distinctiveness Conflict Risk | Very clear niche focused specifically on AI editor context files with distinct triggers like '.cursorrules', 'CLAUDE.md', 'GitHub Copilot instructions' - unlikely to conflict with general coding or documentation skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a high-quality skill that efficiently guides Claude through creating AI context files. It combines concrete file targets, a clear multi-step workflow, and a practical quality check mechanism. The reference to an external template file demonstrates good progressive disclosure without burying essential information.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient, with no unnecessary explanations of concepts Claude already knows. Every section serves a clear purpose, and the table format for file targets is particularly token-efficient. | 3 / 3 |
Actionability | Provides concrete file paths, specific file names, exact locations, and a clear example of what good content looks like. The workflow steps are specific about what to read and what to produce. | 3 / 3 |
Workflow Clarity | Clear 5-step workflow with explicit sequencing. Includes a quality check section with specific test questions to validate the output. The verification step ('open .cursorrules in Cursor and ask...') provides a concrete feedback mechanism. | 3 / 3 |
Progressive Disclosure | Well-structured with clear sections, a table for quick reference, and appropriate use of an external template file (assets/prompt-template.md) for detailed content structure. The skill stays focused on the workflow while pointing to the template for specifics. | 3 / 3 |
Total | 12 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Repository
- kubical-ai/aeo-geo-optimization
- Commit
658c481
- Reviewed
Table of Contents
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