Hardcover.app skill for tracking books you're reading, reading goal, and finding books you'd love to read

Hardcover.app skill for tracking books you're reading, reading goal, and finding books you'd love to read extends your AI assistant with the ability to query reading lists and book data from Hardcover.app via GraphQL API. Triggers when user mentions Hardcover, asks about their reading list/library, wants book progress, searches for books/authors/series, or references "currently reading", "want to read", or "books I've read". Also use for syncing reading data to other systems (Obsidian, etc.) or tracking reading goals. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using Hardcover.app skill for tracking books you're reading, reading goal, and finding books you'd love to read as its underlying capability.

Hardcover.app skill for tracking books you're reading, reading goal, and finding books you'd love to read works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Hardcover.app skill for tracking books you're reading, reading goal, and finding books you'd love to read once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.

To install Hardcover.app skill for tracking books you're reading, reading goal, and finding books you'd love to read, copy the skill folder to `~/.claude/skills/hardcover/` for use across all your projects, or `.claude/skills/hardcover/` for a single project. Restart Claude and the skill is immediately active — invoke it with `/hardcover` or just describe your goal and the AI will pick it up automatically.

Hardcover.app skill for tracking books you're reading, reading goal, and finding books you'd love to read has been installed 1,693 times, making it one of the more actively used skills in the Data & Analytics category. The install rate suggests it solves a real, recurring need rather than a niche edge case. The source code is open on GitHub — you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.