OPC Skills

The Reddit Skill allows you to search and retrieve posts, comments, subreddit information, and user profiles using Reddit's public JSON API. It requires no API key for authentication.

Prerequisites:

• No API key required.
• To verify installation, run a quick check from the skill directory:

cd <skill_directory>
python3 scripts/get_posts.py python --limit 3

The domain-hunter skill helps users find and purchase domain names at the best price. It automates the process of generating domain ideas, checking availability, comparing registrar prices, and finding promo codes. Use this skill when a user wants to buy a domain, check domain prices, find domain deals, compare registrars, or search for .ai or .com domains.

name: domain-hunter
description: Search domains, compare prices, find promo codes, get purchase recommendations. Use when user wants to buy a domain, check domain prices, find domain deals, compare registrars, or search for .ai/.com domains.

Generative Engine Optimization (GEO) is a framework designed to improve content visibility within generative engine responses (AI search engines like ChatGPT, Perplexity, and Google SGE).

Unlike traditional SEO, which focuses on ranking in search engine results pages (SERPs), GEO focuses on being cited by AI systems. Research indicates that implementing GEO methods can provide a visibility boost of up to 40%, and low-ranking sites can see boosts of up to 115% when using citations.

Ralph is an autonomous AI agent loop that uses coding tools (like Amp CLI or Claude Code) to implement features defined in a prd.json file.

When combined with OPC Skills, Ralph can perform complex, multi-stage workflows. Because OPC Skills are installed globally, Ralph's AI instances can invoke them during the development loop. For example, a PRD can explicitly instruct Ralph to:

• "Use domain-hunter to find available .io domains"
• "Use logo-creator to generate app logo"
• "Use seo-geo to add meta tags and generate sitemaps"

This allows for a complete automation flow from market research and design to feature development and SEO optimization.

To increase visibility in AI-generated responses (GEO), apply the following content strategies:

1. Add Statistics: Use specific, quantifiable metrics (e.g., "10+ Skills | 5 Platforms") to make content easily extractable and quotable by AI.
2. Implement FAQ Sections: Add a dedicated FAQ section with an Answer-First structure. Each answer should start with a direct response to the question to match AI response patterns.
3. Use Authoritative Tone: Use definitive language (e.g., "The definitive skill library...") and include Citations to authoritative sources (e.g., official documentation or industry leaders).
4. Keyword Strategy: Avoid high-competition generic terms in favor of long-tail keywords that define your specific niche (e.g., instead of "AI tools", use "Claude Code skills").

For Ralph's autonomous loop to function effectively and self-correct, the project must have automated quality checks in place. Ralph relies on these checks to determine if a user story has successfully passed. If a check fails, the story remains marked as passes: false in prd.json and is retried in the next iteration.

Critical checks include:

• Type checking: e.g., TypeScript, mypy to catch type errors.
• Unit tests: e.g., Jest, pytest to verify logic.
• Integration tests: e.g., Playwright, Cypress to confirm end-to-end workflows.
• CI/CD pipelines: Ensuring the environment remains stable.

The SEO-GEO skill provides five primary capabilities for optimizing content for Generative Engine Optimization (GEO):

1. Website SEO Audit: Analyzes URLs for meta tags, Schema.org, robots.txt, and AI bot access.
2. GEO Optimization Analysis: Evaluates content against the 9 Princeton GEO methods (e.g., checking for citations, statistics, expert quotes, and FAQ sections).
3. Schema.org Generator: Automatically generates JSON-LD structured data for BlogPosting, HowTo, FAQPage, Product, and Organization.
4. AI Bot Access Checker: Verifies that robots.txt explicitly allows key AI crawlers like GPTBot, PerplexityBot, and ClaudeBot.
5. Keyword Research for AI: Identifies answer-focused keywords prioritized by AI search engines rather than traditional commercial intent keywords.

Critical actions like domain registration and transfers are processed asynchronously. When you initiate these actions, the API returns a spaceship-async-operationid in the response header.

To check if the task is finished, poll the following endpoint: GET /v1/async-operations/{operationId}

Possible Statuses:

• pending
• success
• failed

# Poll for operation status
curl -s -X GET "https://spaceship.dev/api/v1/async-operations/{operationId}" \
  -H "X-Api-Key: $SPACESHIP_API_KEY" \
  -H "X-Api-Secret: $SPACESHIP_API_SECRET"

Agent skills are structured markdown files designed to be consumed by both humans and AI coding assistants (such as Claude Code, Cursor, and Windsurf). Unlike traditional documentation, skills are actionable: they provide the AI agent with the instructions, triggers, and tools necessary to execute specific tasks automatically.

A skill typically consists of:

• YAML frontmatter: Metadata including name, description, triggers, and dependencies.
• Structured instructions: Step-by-step guidance for the AI.
• Scripts and tools: Automation components for execution.
• Examples: Real-world usage patterns.

---
name: domain-hunter
description: Search domains, compare registrar prices, find promo codes
triggers:
  - domain
  - registrar
  - buy domain
dependencies:
  - twitter
  - reddit
---