Code & Development · GitHub ·206 ★

claudepro-directory

HeyClaude (formerly Claude Pro Directory) is a searchable collection of pre-built configurations, MCP servers, and custom rules designed to enhance Claude AI's performance for specific tasks.

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Details

Author
JSONbored
Category
Code & Development
Platform
GitHub
Framework
anthropic
Language
mdx
Stars
206
First indexed
2026-05-15
Last active
2026-04-12
Directory sync
2026-05-15
@JSONbored

Overview

HeyClaude (formerly Claude Pro Directory) is a searchable collection of pre-built configurations, MCP servers, and custom rules designed to enhance Claude AI's performance for specific tasks.

Quick start

git

git clone https://github.com/JSONbored/claudepro-directory

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What claudepro-directory can do

hrpromptapidesignllm
  • Hr — Handles people operations such as hiring and policy Q&A.
  • Prompt — prompt task automation.
  • Api — api task automation.
  • Design — design task automation.
  • Llm — llm task automation.

Frequently asked questions

What is claudepro-directory?
HeyClaude (formerly Claude Pro Directory) is a searchable collection of pre-built configurations, MCP servers, and custom rules designed to enhance Claude AI's performance for specific tasks.
How do I install claudepro-directory?
Use git: `git clone https://github.com/JSONbored/claudepro-directory`. Full setup details on the source page linked above.
Is claudepro-directory open source?
claudepro-directory is published on GitHub.
What are alternatives to claudepro-directory?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

Not connected · Unverified

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Source & freshness

Profile data for claudepro-directory is sourced from GitHub, published by JSONbored.

Last scraped: · First indexed:

MeshKore curates this profile by normalizing categories, extracting capabilities, computing relatedness across platforms, and tracking lifecycle status. The source platform retains all rights to the underlying content. See methodology.