openai/role-specific-plugins

Role-specific Codex plugin templates

What it solves

It simplifies the process of customizing Codex for specific professional roles by providing pre-packaged templates. Instead of building domain-specific skills and connector bindings from scratch, teams can use these plugins to quickly adapt the AI to their specific workflows.

How it works

The project provides a set of role-specific plugins (such as Sales, Data Analytics, and Product Design) that bundle together workflow instructions, domain context, and connector bindings. Users must customize these plugins by replacing placeholder app and connector IDs in the .app.json file with IDs specific to their own workspace before installation.

Who it’s for

Teams and organizations using Codex who want to implement AI assistants tailored to roles like sales, data analytics, and product design.

Highlights

  • Role-Specific Templates: Includes ready-made plugins for Sales, Data Analytics, and Product Design.
  • Connector Integration: Supports a wide range of third-party tools including Salesforce, HubSpot, Snowflake, BigQuery, and Slack.
  • Customizable Framework: Uses a structured layout with manifests, skill definitions, and assets to allow for easy adaptation.
  • MCP Support: Includes configuration for MCP servers where needed.

Related

  • Project
    halo-dev/upage

    A visual web construction platform that uses LLMs to generate personalized, responsive websites from natural language descriptions.

  • Project
    RandallLiuXin/GodotMaker

    An autonomous AI workflow that transforms natural language game ideas into playable 2D Godot engine prototypes, handling everything from GDD planning to implementation and visual QA.

  • Project
    chaitin/KoalaQA

    An open-source AI-driven after-sales service platform that provides intelligent customer service and Q&A communities to reduce manual support costs.

  • Project
    microsoft/RPG-ZeroRepo

    A framework that uses Repository Planning Graphs (RPG) as a persistent control layer for AI coding agents to prevent requirements drift and manage complex, multi-file codebase generation and editing.