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igmarin/rails-agent-skills

Curated library of 42 public AI agent skills for Ruby on Rails development, plus 5 callable workflow skills. Organized by category: planning, testing, code-quality, ddd, engines, infrastructure, api, patterns, context, orchestration, and workflows. Covers code review, architecture, security, testing (RSpec), engines, service objects, DDD patterns, and TDD automation.

75

Quality

94%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Overview
Quality
Evals
Security
Files

Quality

Discovery

82%

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 description that clearly identifies its domain (Rails development/test data management) and lists specific capabilities. The trigger words are well-chosen and comprehensive. The main weakness is the lack of an explicit 'Use when...' clause, which would strengthen the 'when to use' guidance beyond just listing trigger words.

Suggestions

Add an explicit 'Use when...' clause, e.g., 'Use when the user asks about setting up seed data, creating test fixtures, or generating development data in a Rails application.'

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: fixtures vs seeds, seeding strategies for different environments, test data factories, and production-like data generation. These are distinct, concrete capabilities.

3 / 3

Completeness

Clearly answers 'what' (manage development and test data in Rails with specific capabilities listed) and provides trigger words, but lacks an explicit 'Use when...' clause. The trigger words partially serve this purpose but don't constitute explicit trigger guidance per the rubric, which caps completeness at 2.

2 / 3

Trigger Term Quality

Includes a comprehensive set of natural trigger words that users would actually say: 'seeds', 'fixtures', 'seeding', 'database seed', 'test data', 'development data', 'db:seed'. These cover common variations well.

3 / 3

Distinctiveness Conflict Risk

Clearly scoped to Rails data management with specific focus on seeds, fixtures, and test data factories. The Rails context plus the specific domain (seeding/fixtures) makes it highly distinctive and unlikely to conflict with other skills.

3 / 3

Total

11

/

12

Passed

Implementation

92%

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-crafted skill that is concise, actionable, and has a clear workflow with validation steps. The hard-gate constraints and quick reference table are effective patterns. The main weakness is uncertainty around whether referenced files (EXAMPLES.md, references/workflow.md) actually exist and whether the inline content appropriately complements rather than duplicates them.

DimensionReasoningScore

Conciseness

The content is lean and efficient. Every section serves a purpose, there's no explanation of what Rails is, what seeds are conceptually, or how Ruby works. The quick reference table is a particularly efficient format choice.

3 / 3

Actionability

All code examples are executable and copy-paste ready: idempotent seeds with find_or_create_by!, environment-specific seed files, and FactoryBot factories. Commands like `rails db:seed` and `rails console` are specific and concrete.

3 / 3

Workflow Clarity

The seeding workflow is clearly sequenced with explicit validation checkpoints: step 4 validates idempotency by re-running seeds, and step 5 verifies data in the console. The hard-gate constraints provide clear safety boundaries.

3 / 3

Progressive Disclosure

References to EXAMPLES.md and references/workflow.md are well-signaled and one level deep, but no bundle files were provided to verify these exist. The SKILL.md itself includes a fair amount of inline code that partially overlaps with what EXAMPLES.md presumably covers, suggesting the split could be tighter.

2 / 3

Total

11

/

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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