Strict Self-Improving Agent (Rule of 3)v1.0.2

A team using AI coding assistants like Claude Code or Copilot to log recurring errors and learnings. They implement the Rule of 3 to prevent bloating core documentation with one-off issues, ensuring only validated patterns are promoted to team guidelines.

An operations team managing cloud deployments and CI/CD pipelines. They use the skill to track tool failures and API errors, promoting fixes to TOOLS.md after three occurrences to maintain reliable infrastructure workflows.

An AI-powered support bot that logs user corrections and feature requests. By applying the Rule of 3, it identifies common knowledge gaps and behavioral improvements, promoting them to SOUL.md for more accurate and efficient responses.

A data science team using AI agents for data processing and analysis. They log errors in scripts and feature requests for new capabilities, using the promotion pipeline to update AGENTS.md with optimized workflows for recurring tasks.

A marketing team employing AI for content generation and social media management. They track corrections and outdated knowledge, promoting learnings to behavioral guidelines in SOUL.md to maintain brand voice and accuracy.

Offer the skill as part of a premium AI agent platform like OpenClaw, with monthly fees for access to advanced self-improvement features, analytics, and human review tools. Revenue comes from tiered subscriptions based on usage and support levels.

Provide custom setup and training for enterprises to integrate the skill into their existing AI workflows. Revenue is generated through one-time project fees and ongoing maintenance contracts for optimization and support.

Distribute the skill for free with basic logging capabilities, while charging for advanced features like automated promotion reviews, cross-session analytics, and priority support. Revenue comes from upgrades and enterprise licenses.