Open Pharma Plugins / Documentation

Open Pharma Plugins

A set of reviewable workflows for pharmaceutical commercial teams. Understand the business problem, inspect a fictional input and output, then follow the technical guide when you are ready to implement.

Get started Browse plugin guides

Installation

Choose an installation path

Install the complete plugin in an agent harness, or use the published Python distribution for a Python-managed MCP server.

Open the plugin repository →
Read the installation guidance →

Option 1 · Agent harness

Claude Code, Codex, or GitHub Copilot CLI

Run the repository installer to add the Skill and MCP tools through the harness.

git clone https://github.com/PharmaGenAI/open-pharma-plugins.git
cd open-pharma-plugins
less install.sh
bash install.sh

Option 2 · Python distribution

Published package

Install a released capability from the published Python distribution.

python -m pip install \
  "open-pharma-plugins[hcp-intelligence]==2.4.1"

Choose your reading path

For business teams Start with the decision

See the problem, the capability, the expected outcome, and the human review boundary in plain language.

Explore business outcomes → For technical teams Start with the implementation

Choose an install surface, inspect example files, and continue into version-pinned configuration and operations.

Open the implementation path →

What problem does the portfolio solve?

Problem

Important work is fragmented

Research, planning, training, and campaign preparation often happen across disconnected searches, files, and handoffs. Evidence and assumptions can disappear between steps.

Solution

Six focused, inspectable plugins

Each capability structures a narrow workflow and keeps its inputs, source support, constraints, and review status visible.

Expected outcome

A decision-ready artifact

Teams receive a cited profile, evidence brief, scenario, engagement plan, learning draft, or campaign review package that a qualified person can examine.

Portfolio architecture

How the portfolio fits together

Each capability stays independently installable, so teams can choose the workflow they need and bring its Skill and MCP tools into a supported agent environment.

Six focused capabilities, packaged one plugin at a time. Open the full-size diagram →

Plugin guides

Choose the question closest to the work in front of you. Every guide explains the problem, objective, workflow, fictional sample input, interpreted output, business value, and technical next step.

Six independent capabilities

Use one capability on its own, or connect outputs only where identifiers, provenance, and governance remain intact.

Capability	Business question	Expected output	Version
01HCP Intelligence	How do we prepare for an account conversation?	Cited public-source profile	HCP 1.0.2
02Competitive Intelligence	What changed in the market?	Evidence brief and timeline	CI 1.1.0
03Territory Alignment	Which coverage scenario works best?	Assignment and route scenario	TA 1.2.0
04Next-Best-Engagement	What should the team consider next?	Consent-aware engagement plan	NBE 1.0.2
05Field Training	How do we build learning from approved sources?	Learning and role-play draft	FT 1.1.1
06Campaign Studio	How do we prepare material for review?	Campaign review package	CS 1.1.0

Documentation contents

Understand

Purpose and outcomes

• Business outcomes — match a decision to a capability
• Plugin guides — problem, solution, workflow, and value
• Trust and governance — data, evidence, and review boundaries

Try

Installation and examples

• Get started — agent harness and Python distribution paths
• Fictional examples — input, output, and manifest for every plugin
• Release snapshot — machine-readable version provenance

Operate

Technical references

• Technical reference — pinned configuration and repository guides
• Release sync — website update and review contract
• Website source — public documentation repository