Baseline Core — An AI powered system to optimize product…

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About this project

Baseline Core is an innovative AI-powered workflow system designed for product teams. It integrates structured knowledge with domain expertise, enhancing workflows in research, strategy, design, and delivery. With its modular components—Skills for expertise, Context for business specifics, and Frameworks for methodology—this open-source solution empowers teams to achieve faster and better results.

The Baseline System is an AI-driven workflow solution designed to enhance the efficiency and quality of product teams' operations, including research, strategy, design, communication, and delivery. By integrating structured knowledge and domain expertise, this system empowers users to streamline their product development processes, achieving results faster than traditional methods.

Core Components

The system is built around three key components:

Component	Description	Details
Skills	Modules that impart domain expertise to execute specific tasks effectively.	Skills Documentation
Context	Personalized knowledge pertaining to a business—such as brand identity, tone, customer profiles, and product specifics.	Context Directory
Frameworks	Established methodologies for tasks like prioritization, research, and decision-making that can be reused across projects.	Frameworks Documentation

Skills provide universal methodologies, while context tailors outputs to reflect the unique aspects of the business. For instance, invoking a skill produces results not only informed by proven practices but also consistent with the brand voice.

Functionality

The Baseline System operates through a series of steps:

Task Definition: Specify the task at hand, such as "Create a PRD for the new onboarding flow" or "Help prioritize the Q2 roadmap."
Skill Identification: The system matches the task to the relevant skill, e.g., mapping a PRD request to product-communications.
Loading Resources: Based on a defined manifest.yaml, the system gathers necessary files associated with the skill, including frameworks and relevant context.
Execution: The system then follows through to plan, clarify, execute, and validate the task.

Available Skills

The Baseline System offers twelve distinct skills to assist with various aspects of product development:

Skill	Description
Strategic Advisory	Assists with strategic decisions, roadmaps, and OKRs.
Research & Synthesis	Conducts user research and competitive analysis.
Product Communications	Creates PRDs, feature specifications, and stakeholder updates.
UX Design	Designs user interfaces, wireframes, and accessible user experiences.
Product Analytics	Analyzes metrics and conducts A/B testing.
Prototyping	Develops both coded prototypes and demos.
Project Management	Manages planning, tracking, and risk management.
Technical Documentation	Generates user guides and API documentation.
Visual Communication	Crafts presentations and narratives for data storytelling.
Product Marketing	Develops positioning and messaging frameworks.
Go-to-Market Planning	Formulates pricing strategies and channel strategies.
Skill Building	Enables the creation of new skills and reference documentation.

For detailed documentation on individual skills, refer to the Skills Documentation.

System Usage

Automated Integration with AI Tools

Automated processes are facilitated through the AGENTS.md file, which provides AI tools with the instructions necessary to locate skills, access manifests, and execute operations seamlessly. Popular tools including Codex, Cursor, Windsurf, JetBrains AI, and Claude Code utilize this file for an efficient workflow.

Interaction with Chat Tools

Conversational AI tools that do not automatically access project files, such as ChatGPT or Gemini, require users to upload or paste the necessary files indicated in the skill’s manifest.yaml. After doing so, users can describe their tasks for assistance.

Context Creation and Management

The user's context is vital for ensuring high-quality output. This context consists of core elements like brand identity and voice, along with extended information about products, users, and competitive positioning. Users can easily maintain and update their context through commands such as npx baseline context and npx baseline context add <name> to tailor outputs further.

File Structure

The system's organization is clear and intuitive:

your-system/
├── AGENTS.md  
├── CLAUDE.md  
├── .github/
│   └── copilot-instructions.md  
├── baseline.config.json  
├── skills/  
├── context/  
│   ├── core/  
│   └── extended/  
├── frameworks/  
└── cli/

This structure facilitates comprehensive management of the Baseline System while ensuring that users retain ownership of their context, which is crucial for customizing AI-generated outputs.