Open-source project · OPEN—01

AI Revenue
Systems Skills

Agent-ready skills for diagnosing, building and improving revenue systems.

GitHub · Coming soonExplore the method
SYSTEM / 01
REVENUE AGENTExecute a
bounded play
Measured outcome
SKILL—01Diagnose
SKILL—02Design
SKILL—03Measure

What this is

Executable IP,
not a prompt collection.

A growing open-source library of reusable skills that helps AI agents understand revenue problems, execute bounded workflows and improve through evidence.

01

Diagnose

Understand the business problem, current system and operational constraints.

02

Build

Turn a revenue outcome into a clear play with ownership and a definition of done.

03

Improve

Use evidence from execution to update the system and compound what works.

Skills library

The first operating set.

The repository will grow in public. These are the initial skills planned for the first release.

01

Revenue System Diagnosis

Map the problem, constraints and current operating state.

Planned
02

Revenue Play Design

Turn a revenue outcome into a bounded, measurable motion.

Planned
03

Workflow Mapping

Define triggers, decisions, handoffs, tools and ownership.

Planned
04

Agent Readiness

Evaluate data, access, state, risk and human oversight.

Planned
05

Outcome Measurement

Create a scorecard that connects execution to revenue.

Planned
06

Implementation Review

Capture evidence, failures and the next system decision.

Planned

Anatomy of a skill

A clear contract between intent and execution.

ContextInstructionsToolsExecutionEvidence

A skill defines what the agent needs to know, what it may do, which tools it can use and how success will be evaluated.

Repository preview

Built to be forked,
adapted and improved.

Each folder will contain a bounded skill, its inputs, workflow, guardrails and expected output.

skills/
├── diagnose-revenue-system/
├── design-revenue-play/
├── map-workflow/
├── evaluate-agent-readiness/
├── measure-outcome/
└── review-implementation/

Follow the build

The repository is coming soon.

Until then, explore the operating method behind the skills.

Explore the method