methodology bootstrapping

SKILL.md

Apply Bootstrapped AI Methodology Engineering (BAIME) to systematically develop and validate software engineering methodologies through observation, codification, and automation.

The best methodologies are not designed but evolved through systematic observation, codification, and automation of successful practices.

BAIME (Bootstrapped AI Methodology Engineering) is a unified framework that integrates three complementary methodologies optimized for LLM-based development:

Apply Bootstrapped AI Methodology Engineering (BAIME) to develop project-specific methodologies through systematic Observe-Codify-Automate cycles with dual-layer value functions (instance quality + methodology quality). Use when creating testing strategies, CI/CD pipelines, error handling patterns, observability systems, or any reusable development methodology. Provides structured framework with convergence criteria, agent coordination, and empirical validation. Validated in 8 experiments with 100% success rate, 4.9 avg iterations, 10-50x speedup vs ad-hoc. Works for testing, CI/CD, error recovery, dependency management, documentation systems, knowledge transfer, technical debt, cross-cutting concerns. Source: zpankz/mcp-skillset.

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