381,784 Collected SKILL.md files

Explore AI Agent Skills & Claude Prompts

Discover open-source agent skills for Claude Code, Codex, ChatGPT, and any tool that uses SKILL.md.

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inertia-rails
Showing 11 of 11 skills
inertia-rails

inertia-rails-setup

by inertia-rails
star 56

One-time project initializer for Inertia Rails skills. Detects stack and frontend framework (React/Vue/Svelte) from Gemfile and package.json, offers to install recommended deps (alba-inertia, js-routes, pagy, shadcn), and generates a CLAUDE.md section that configures which skill patterns apply. Use when first installing these skills, bootstrapping a new Inertia Rails project, or when the stack changes.

navigation main article SKILL.md
schedule Updated 4 months ago
inertia-rails

inertia-rails-typescript

by inertia-rails
star 56

TypeScript type safety for Inertia Rails (React, Vue, Svelte): shared props, flash, and errors via InertiaConfig module augmentation in globals.d.ts. Use when setting up TypeScript types, configuring shared props typing, fixing TS2344 or TS2339 errors in Inertia components, or adding new shared data.

navigation main article SKILL.md
schedule Updated 4 months ago
inertia-rails

shadcn-inertia

by inertia-rails
star 56

shadcn/ui component integration for Inertia Rails React (NOT Next.js): forms, dialogs, tables, toasts, dark mode, command palette, and more. Use when building UI with shadcn/ui components in an Inertia app or adapting shadcn examples from Next.js. NEVER react-hook-form/zod — wire shadcn inputs to Inertia Form via name attribute. Flash toasts require Rails flash_keys initializer config.

navigation main article SKILL.md
schedule Updated 4 months ago
inertia-rails

shadcn-svelte-inertia

by inertia-rails
star 56

shadcn-svelte (bits-ui) component integration for Inertia Rails Svelte (NOT SvelteKit): forms, dialogs, tables, toasts, dark mode, and more. Use when building UI with shadcn-svelte components in an Inertia + Svelte app or adapting shadcn-svelte examples from SvelteKit. Wire shadcn-svelte inputs to Inertia Form via name attribute and {#snippet} syntax. Flash toasts require Rails flash_keys initializer config.

navigation main article SKILL.md
schedule Updated 4 months ago
inertia-rails

shadcn-vue-inertia

by inertia-rails
star 56

shadcn-vue component integration for Inertia Rails Vue 3 (NOT Nuxt): forms, dialogs, tables, toasts, dark mode, and more. Use when building UI with shadcn-vue components in an Inertia + Vue app or adapting shadcn-vue examples from Nuxt. Wire shadcn-vue inputs to Inertia Form via name attribute and #default scoped slot. Flash toasts require Rails flash_keys initializer config.

navigation main article SKILL.md
schedule Updated 4 months ago
inertia-rails

inertia-rails-testing

by inertia-rails
star 56

Testing Inertia Rails responses with RSpec and Minitest: component assertions, prop matching, flash verification, deferred props, and partial reload helpers. Use when writing controller specs, request specs, or integration tests for Inertia pages. ALWAYS use matchers (render_component, have_props, have_flash), NOT direct access (inertia.component, inertia.props). CRITICAL: after POST/PATCH/DELETE with redirect, MUST call follow_redirect! before asserting flash or props — without it you're asserting against the 302, not the Inertia page. Setup: require 'inertia_rails/rspec'.

navigation main article SKILL.md
schedule Updated 4 months ago
inertia-rails

alba-inertia

by inertia-rails
star 56

Alba serializers + Typelizer for type-safe Inertia Rails props with auto-generated TypeScript types. Use when serializing models for Inertia responses, setting up Alba resources, generating TypeScript types from Ruby, or using Inertia prop options (defer, once, merge, scroll) with Alba attributes. Replaces as_json with structured, auto-typed ApplicationResource, page resources, and shared props resources. When active, OVERRIDES the `render inertia: { ... }` pattern from other skills — use convention-based instance variable rendering instead.

navigation main article SKILL.md
schedule Updated 4 months ago
inertia-rails

inertia-rails-architecture

by inertia-rails
star 56

Server-driven architecture patterns for Inertia Rails + React. Load this FIRST when building any Inertia page or feature — it routes to the right skill. Decision matrix for data loading, forms, navigation, state management. NEVER useEffect+fetch, NEVER redirect_to for external URLs (use inertia_location), NEVER react-hook-form (use Form component). MUST invoke when adding pages, models with views, CRUD, or displaying data in an Inertia Rails app. ALWAYS `render inertia: { key: value }` to pass data — `@ivars` are NOT auto-passed as props.

navigation main article SKILL.md
schedule Updated 4 months ago
inertia-rails

inertia-rails-controllers

by inertia-rails
star 56

ALWAYS `render inertia: { key: data }` to pass data as props — instance variables are NOT auto-passed (only alba-inertia does that). Rails controller patterns for Inertia.js: render inertia, prop types (defer, optional, merge, scroll), shared data, flash, PRG redirects, validation errors. Use when writing controllers that load data, display records, or serve Inertia responses. CRITICAL: external URLs (Stripe/OAuth) MUST use inertia_location, NEVER redirect_to.

navigation main article SKILL.md
schedule Updated 4 months ago
inertia-rails

inertia-rails-forms

by inertia-rails
star 56

Full-stack form handling for Inertia Rails: create, edit, delete, multi-step wizard, and file upload forms with validation errors and progress tracking. React examples inline; Vue and Svelte equivalents in references. Use when building any form, handling file uploads, multi-step forms, client-side validation, or wiring form submission to Rails controllers. NEVER react-hook-form. Use `<Form>` for simple forms, useForm for dynamic/programmatic control.

navigation main article SKILL.md
schedule Updated 4 months ago
inertia-rails

inertia-rails-pages

by inertia-rails
star 56

Page components, persistent layouts, Link/router navigation, Head, Deferred, WhenVisible, InfiniteScroll, and URL-driven state for Inertia Rails. React examples inline; Vue and Svelte equivalents in references. Use when building pages, adding navigation, implementing persistent layouts, infinite scroll, lazy-loaded sections, or working with client-side Inertia APIs (router.reload, router.replaceProp, prefetching).

navigation main article SKILL.md
schedule Updated 4 months ago
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Browse Agent Skills by Occupation

23 major groups · 867 SOC occupations

Browse by Category

Explore agent skills organized by their primary use case

SKILLMD / CREATORS AND OCCUPATION CATEGORIES

Explore the agent skills ecosystem by occupation and creator

SkillMD is not just a keyword search box. It is an open map that organizes public skills by occupation, creator, and repository, helping you see which workflows, judgment criteria, and domain habits people are writing for AI agents.

Then follow creators and GitHub repositories back to the source: compare the skills a team maintains, whether the repo is active, and how the README frames the work before you open, install, or reuse anything.

Use it three ways: learn an unfamiliar field by occupation, study how creators organize skills, then use source context to decide what is worth opening or reusing.

01 Map a field

Browse 23 occupation groups and 867 SOC roles to learn what skills exist in adjacent domains and how they break down real work.

02 Follow creators

Use creator and repository pages to inspect maintained skill collections, recent updates, and source context before trusting a result.

03 Search with sources

Search 1.7M+ collected skills, then use occupation tags, creators, and GitHub source context to decide what is worth opening.

Start with the occupation map, then follow creators and repositories back to real code. SkillMD helps explain why a skill is worth opening, not only what it is named.

SEO KNOWLEDGE HUB & TECHNICAL OVERVIEW

Standardizing Agent Capabilities with SKILL.md and Model Context Protocol (MCP)

In the rapidly evolving landscape of artificial intelligence, LLM agents (Large Language Model agents) have transitioned from simple text predictors to autonomous problem solvers. To orchestrate complex, multi-step agentic workflows, developers require a standardized format to specify agent capabilities, prompt instructions, system rules, and database bindings. This is where SKILL.md and the Model Context Protocol (MCP) have emerged as standard developer paradigms. SkillMD serves as the central directory for indexing, exploring, and sharing these critical agent configurations.

Our open-source registry currently tracks over 1.7 million collected SKILL.md configurations and system prompts. By compiling agent configurations from active developers on GitHub, we bridge the gap between prompt engineering research and production execution. Whether you are building agents with Anthropic's Claude Code, OpenAI's GPT-4, Google's Gemini, or local models using Ollama and LlamaIndex, standardized skill definitions ensure your agents behave predictably across different runtime environments.

What is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is an open-source standard designed to connect LLMs to data sources, developer tools, and external environments. MCP establishes a bidirectional communication channel between client applications (like Cursor, Claude Desktop, or custom agent systems) and servers hosting data or capabilities. Standardizing instructions via SKILL.md enables LLMs to query databases, read local files, execute terminal commands, and integrate third-party APIs. SkillMD allows you to find ready-to-run MCP servers and prompt instructions for various occupations and technical tasks.

The Structure of a Professional SKILL.md File

A valid SKILL.md configuration is designed to be easily read by humans and parsed by LLMs. It contains precise system instructions, trigger conditions, required parameters, and execution examples. Below is the typical architectural blueprint of a professional agent skill:

  • Metadata & Core Scope: Declares the name of the skill, author details, target models, and a description of the capability.
  • Triggers & Intent Detection: Details semantic triggers that help the agent decide when to invoke this skill.
  • System Prompts: Explicit system-level instructions that direct the agent's behavior, personality, safety guardrails, and formatting preferences.
  • Capabilities & Tools: Lists the files, databases, or APIs the agent must access to complete the tasks.
  • Few-Shot Examples: Demonstrates real inputs and outputs, helping the model generalize behavior through in-context learning.

Optimizing Agent Workflows for Modern LLMs

Writing effective agent skills requires deep knowledge of prompt engineering. With the release of advanced reasoning models like Claude 3.5 Sonnet, ChatGPT o1, and DeepSeek-V3, prompt templates must focus on structured thinking. Developers are encouraged to use XML tags (e.g., <thought>, <context>, and <rules>) to isolate execution boundaries. Standardized prompts prevent agents from suffering from context drift, ensuring that long-running tasks remain aligned with the initial system parameters.

Exploring by SOC Occupations and Creator Profiles

What makes SkillMD unique is its taxonomy. Instead of simple text search, we parse and organize files according to the Standard Occupational Classification (SOC) system. This means you can discover skills written for Computer and Mathematical roles, Business and Financial operations, Legal, Design, and and Educational Instruction fields. By tracking creator profiles, developers can study how different teams organize their custom instructions, compare version updates, and fork public configs for specialized enterprise use cases.

SkillMD operates as a high-performance index running on a fast Go backend and a highly responsive Astro SSR frontend. All search queries execute in milliseconds, featuring smart debouncing to prevent multiple API requests while keeping user data secure. Join our community of developers to standardize your AI agent instructions and optimize your LLM prompting workflows today.

8 QUESTIONS

Frequently Asked Questions

A practical guide to agent skills: what they are, how to inspect them, and how SkillMD helps you explore the ecosystem.