feat: add Shows Watched to llms.txt hub

[thedaviddias]

This PR adds Shows Watched to the llms.txt hub.

Submitted by: admin

Website: https://showswatched.com
llms.txt: https://showswatched.com/llms.txt
llms-full.txt: https://showswatched.com/llms-full.txt
Category: content-media

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This PR was created via admin token for a user without GitHub repository access.

Please review and merge if appropriate.

Summary by CodeRabbit

• New Features
  • Added a new website entry, “Shows Watched (LLMs.txt),” with complete metadata (title, description, link, category, publication date).
  • The entry is now visible in the Websites catalog and will appear in existing listings, browsing, and search/filter experiences.
  • This is a content addition only; no changes to app behavior or settings.

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Project	Deployment	Preview	Comments	Updated (UTC)
llms-txt-hub	Ready	Preview	Comment	Sep 29, 2025 0:24am

[coderabbitai]

Walkthrough

A new static MDX content file was added with frontmatter metadata (name, description, website, llmsUrl, llmsFullUrl, category, publishedAt) and a brief content body. No code or runtime changes.

Changes

Cohort / File(s)	Summary of Changes
Static content data packages/content/data/websites/shows-watched-llms-txt.mdx	Added MDX file with frontmatter metadata and simple content; no logic introduced.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~2 minutes

Pre-merge checks and finishing touches

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title Check	✅ Passed	The title “feat: add Shows Watched to llms.txt hub” clearly states the main change by identifying the new site entry being added to the llms.txt hub, uses concise language, and follows a standard prefix without including extraneous details. It directly reflects the content of the pull request and provides enough context for a reviewer or someone scanning the history to understand the primary update.
Docstring Coverage	✅ Passed	No functions found in the changes. Docstring coverage check skipped.

✨ Finishing touches

🧪 Generate unit tests

• Create PR with unit tests
• Post copyable unit tests in a comment
• Commit unit tests in branch submit-shows-watched-1759105255296

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📜 Recent review details

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

Knowledge base: Disabled due to Reviews -> Disable Knowledge Base setting

📥 Commits

Reviewing files that changed from the base of the PR and between 816d2b4 and 764e523.

📒 Files selected for processing (1)

• packages/content/data/websites/shows-watched-llms-txt.mdx (1 hunks)

🧰 Additional context used

🔍 Remote MCP

I'll search for additional context about this pull request and the "Shows Watched" website to help with the review.## PR Review Context Analysis

Based on my research, here's the relevant context for reviewing this pull request:

About llms.txt Standard

The llms.txt file is a proposed standard to help Large Language Models (LLMs) better understand website content at inference time, located in the root path /llms.txt of a website. The file uses Markdown format specifically because it's expected to be read by language models and agents. However, none of the major LLM companies like OpenAI, Google, or Anthropic have officially confirmed they're following these files, and it's currently just a proposed standard rather than something actively used.

Shows Watched Website

ShowsWatched.com is a platform to track, discover, and discuss TV shows and movies, allowing users to create personal diaries, explore trending content, and connect with fellow fans. It positions itself as a free alternative to expensive TV show trackers like Trakt, with no premium tiers, ads, or hidden fees.

llms-txt-hub Repository

The llms-txt-hub repository serves as "The largest directory for AI-ready documentation and tools implementing the proposed llms.txt standard" and acts as a central hub for discovering and sharing llms.txt implementations. Projects are organized into primary categories (🤖 AI & ML, 💻 Developer Tools, 📊 Data & Analytics, ⚡ Integration & Automation, ☁️ Infrastructure & Cloud, 🔒 Security & Identity) and secondary categories (personal, agency, e-commerce, education, media, international, other).

Submission Process

The repository offers three submission methods, including logging in with GitHub account and submitting through a user-friendly form, which automatically creates a pull request. Similar PRs follow the pattern shown in PR #287 for Deno Documentation, which includes website URL, llms.txt URL, llms-full.txt URL, and category classification.

Key Review Considerations

1. Category Appropriateness: The "content-media" category aligns with the repository's secondary categorization system for media-related projects
2. Standard Compliance: The submission follows the established pattern with all required URLs provided
3. Admin Token Usage: The PR was created via admin token for a user without repository access, which appears to be a standard accommodation
4. File Structure: The MDX file format matches the repository's existing content structure pattern

Verification Status: The ShowsWatched.com website exists and functions as described. The llms.txt URLs provided should be verified for accessibility and proper format compliance.

⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)

• GitHub Check: E2E Tests

🔇 Additional comments (1)

packages/content/data/websites/shows-watched-llms-txt.mdx (1)

1-13: Metadata and links look solid.

Frontmatter follows the hub pattern, and both llmsUrl and llmsFullUrl respond with the expected Markdown content. (showswatched.com)

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