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igmarin/rails-agent-skills

Curated library of AI agent skills for Ruby on Rails development. Covers code review, architecture, security, testing (RSpec), engines, service objects, DDD patterns, and workflow automation.

95

2.21x
Quality

97%

Does it follow best practices?

Impact

91%

2.21x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Overview
Quality
Evals
Security
Files

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 strong skill description that clearly communicates both what the skill does and when to use it. It leads with explicit trigger conditions, names a specific language (Ruby) and architectural pattern, and includes concrete technical terms that developers would naturally use. The description is concise yet comprehensive, making it easy for Claude to select appropriately from a large skill set.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions and patterns: 'layered Auth, Client, Fetcher, Builder, and Domain Entity pattern', 'token caching', 'retry logic', 'FactoryBot hash factories for test data'. These are concrete, specific capabilities.

3 / 3

Completeness

Explicitly answers both what ('layered Auth, Client, Fetcher, Builder, and Domain Entity pattern with token caching, retry logic, and FactoryBot hash factories') and when ('Use when integrating with external APIs in Ruby, creating HTTP clients, or building data pipelines').

3 / 3

Trigger Term Quality

Includes strong natural keywords users would say: 'external APIs', 'Ruby', 'HTTP clients', 'data pipelines', 'token caching', 'retry logic', 'FactoryBot'. These cover common terms a developer would use when requesting this kind of integration work.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with a clear niche: Ruby API integration using a specific layered architectural pattern. The combination of Ruby, the specific pattern names (Auth, Client, Fetcher, Builder, Domain Entity), and FactoryBot makes it very unlikely to conflict with other 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 is a well-structured skill that clearly defines a layered API client architecture with good workflow sequencing via the test-gate pattern and comprehensive checklists. Its main weaknesses are incomplete code examples (placeholder comments instead of executable implementations) and a somewhat monolithic structure that could benefit from splitting detailed layer implementations into separate reference files. The Common Mistakes and Red Flags sections overlap and could be consolidated for better token efficiency.

Suggestions

Complete the placeholder code in Auth#token and Client#execute_query with executable implementations, or explicitly note these are templates requiring project-specific logic

Consolidate the Common Mistakes and Red Flags tables into a single section to reduce redundancy and improve token efficiency

Consider moving detailed layer implementations to a separate LAYERS.md reference file, keeping SKILL.md as a leaner overview with the architecture diagram, quick reference table, and workflow

DimensionReasoningScore

Conciseness

The skill is reasonably efficient but includes some redundancy — the Common Mistakes and Red Flags tables overlap significantly, and some code examples include comments like '# fetch and cache token' or '# POST, parse JSON, raise on failure' that are placeholder-level rather than executable. The quick reference table and architecture diagram are concise and useful.

2 / 3

Actionability

Code examples are structural templates rather than fully executable — key methods have placeholder comments instead of real implementations (e.g., Auth#token, Client#execute_query). The 'Adding a New Domain Entity' steps and checklist are concrete and actionable, but the core layer implementations are incomplete pseudocode.

2 / 3

Workflow Clarity

The HARD-GATE section establishes a clear test-first workflow with explicit validation (write spec → verify failure → implement → repeat per layer in order). The checklist provides a comprehensive sequence for new integrations. The layered architecture flow (Auth → Client → Fetcher → Builder → Entity) is clearly sequenced with validation built into the test-gate process.

3 / 3

Progressive Disclosure

The skill references other skills (ruby-service-objects, yard-documentation, rspec-best-practices, etc.) via the Integration table, which is good. However, the content is fairly long and monolithic — the detailed layer implementations, common mistakes, red flags, and checklists could benefit from being split into separate reference files with the SKILL.md serving as a leaner overview.

2 / 3

Total

9

/

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.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Reviewed

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