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Independent project, not affiliated with Anthropic
igmarin avatar

Rails Agent Skills

igmarin/rails-agent-skills
19STDIOregistry active
Summary

A production-grade Rails workflow library that enforces test-driven development through MCP. You get 28 atomic skills covering testing, services, GraphQL, migrations, background jobs, Hotwire, and Rails engines, plus 9 personas that chain these into full development loops. Every workflow follows the same gate: write test, verify it fails correctly, implement, verify it passes. The skills load context, generate failing tests, guide implementation, write YARD docs, and run code review in sequence. It depends on ruby-core-skills for 15 foundational Ruby patterns. Designed for teams that want AI assistance without sacrificing engineering discipline. Install via npx skills or run the Docker container directly through stdio transport.

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belt - the only tool your agent needs
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CodeRabbit
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AI writes the code. CodeRabbit catches the slop.
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inference shell
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create and run specialised agents in minutes
build now →
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
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Agent, run crypto. Access onchain data & trade routes via 1inch.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
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belt - the only tool your agent needs
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Rails Agent Skills

A catalog of 28 Rails skills and 9 personas that teach agents how to test, implement, and review Rails work. Process skills (TDD gates, YARD, DDD, service objects) live in ruby-core-skills. Install both.

Write the test → run it → confirm it fails for the right reason → implement → confirm it passes
flowchart TB
  subgraph thisRepo[rails-agent-skills]
    atomics[28 atomics]
    personas[9 personas]
  end
  core[ruby-core-skills]
  thisRepo --> core

Also in the same ecosystem: hanakai-yaku, agnostic-planning-skills, agent-mcp-runtime, ruby-skill-bench.

Daily loop

flowchart LR
  A[Task] --> B[load-context]
  B --> C[plan-tests]
  C --> D[write-tests RED]
  D --> E[implement GREEN]
  E --> F[docs + review]
  F --> G[PR]

Name the persona when you want the whole chain: tdd, bug-fix, graphql, migration, background-job, engine, review, quality, setup.

See docs/persona-guide.md and docs/personas/.

Catalog

AreaSkills
Testingplan-tests, write-tests, test-service
Qualitycode-review, security-check, review-architecture, apply-code-conventions, apply-stack-conventions, implement-authorization, refactor-code
Enginescreate-engine, test-engine, document-engine, review-engine, release-engine, create-engine-installer, extract-engine, upgrade-engine
Infrastructurereview-migration, implement-background-job, seed-database, optimize-performance, version-api, implement-hotwire
APIgenerate-api-collection, implement-graphql
Contextload-context, setup-environment

Core skills (install separately): triage-bug, respond-to-review, write-yard-docs, create-service-object, integrate-api-client, define-domain-language, model-domain, skill-router, and the process skills.

Full list: docs/reference/skill-catalog.md. Gaps: docs/reference/gaps.md.

Install

There is no root SKILL.md. Each folder under skills/ is its own skill, so the CLI can prompt for all or one.

# picker: all skills, or a subset
npx skills add igmarin/ruby-core-skills
npx skills add igmarin/rails-agent-skills

# all skills, skip prompts
npx skills add igmarin/ruby-core-skills --skill '*'
npx skills add igmarin/rails-agent-skills --skill '*'

# one skill
npx skills add igmarin/rails-agent-skills --skill load-context

Or with GitHub CLI v2.90.0+ (gh skill):

gh skill install igmarin/ruby-core-skills
gh skill install igmarin/rails-agent-skills
gh skill install igmarin/rails-agent-skills code-review --scope project

A PromptScript global-install warning from skills.sh is harmless. The skills still install for other hosts.

Docs

NeedDocument
Host contextAGENTS.md
How to invoke a personadocs/persona-guide.md
Skill layoutdocs/architecture.md
Eval ownershipdocs/eval-provenance.md

Contributing

  • Artifacts in English unless the user asks otherwise.
  • Keep the tests-gate rule on every code-producing skill.
  • description is when + triggers (≤ 600 chars). Procedure stays in the body.
  • Keep public docs in sync with directory.json.

Thanks to Mumo Carlos (@mumoc).

Featured
CodeRabbit
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Try For Free →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
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Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
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Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
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Integrate web data into your AI product. One API to scrape website & brand data.
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belt - the only tool your agent needs
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belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
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Categories
AI & LLM Tools
Registryactive
Packagedocker.io/igmarin/rails-agent-skills-mcp:5.1.7
TransportSTDIO
UpdatedMay 12, 2026
View on GitHub

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