Baseline Core

Baseline Core is an open-source AI skills system designed to wire your business context directly into any AI tool. It serves product teams, strategists, designers, and developers who need their AI assistants to follow established methodology rather than inventing their own. The core value lies in making implicit business knowledge explicit—structured, documented, and machine-readable—so that AI agents can perform discovery, analysis, and generation tasks with accuracy and consistency. By delivering a complete product system via CLI, Baseline Core transforms how teams collaborate with AI, ensuring that every output aligns with the organization's research practices, strategic frameworks, design principles, and planning templates. This approach reduces rework and eliminates the guesswork from human-AI collaboration.

The fundamental problem Baseline Core solves is that AI tools, when given vague or missing context, default to generic or invented responses that rarely match a team's specific needs. Teams waste time correcting AI outputs, re-prompting for alignment, or fine-tuning models that still drift from established processes. By contrast, when AI agents can access explicit rules and instructions, they perform best in discovery mode—the very phase where most product decisions are made. Without structured context, AI tools cannot reliably respect a company's research methodologies, strategic lenses, or design systems. Baseline Core addresses this pain point head-on by packaging that context into a portable, AI-readable format that any compatible tool can ingest.

The first major feature group is the 12 skills covering the full product lifecycle: research, strategy, design, specs, and planning. These skills are not abstract labels; they are pre-written, actionable instruction sets that guide AI agents through each phase of work. For example, the research skill defines how to conduct user interviews and synthesize findings, while the strategy skill outlines competitive analysis and opportunity mapping. Each skill is a structured document that the AI reads to understand the team's preferred methods, terminologies, and outputs. This feature is useful because it standardizes the AI's behavior without requiring manual prompting or custom training. Teams can drop these skills into any project and immediately get AI responses that reflect their specific workflow.

The second major feature group is the 14 frameworks that provide reusable templates for solving common product problems. These include decision-making matrices, prioritization grids, design critique structures, and strategic planning canvases. Each framework is written as a standalone reference file that the AI can load and apply in real time. For instance, when evaluating feature ideas, the AI accesses the prioritization framework to weigh effort versus impact according to the team's own criteria. The benefit is that frameworks encode best practices without being rigid; teams can adapt them over time. Because they are delivered as part of the same CLI package, frameworks integrate seamlessly with the skills set, creating a cohesive methodology system that grows with the team's needs.