ichendev/ai-native-sdlc
AI-native agent skills for running a verifiable software development lifecycle and improving reusable skills through human-reviewed feedback loops.
Bootstrap, run, audit, or improve an AI-native software development lifecycle. Use when the user asks to set up SDLC, manage a change through a lifecycle, audit their development process, or connect incidents to improvements. Covers intent, spec, plan, build, verification, review, release, operation, and incident-to-improvement loops.
Build or operate a human-reviewed feedback loop that improves an existing agent skill through evidence, focused proposals, evals, and reversible edits. Use when the user asks to make a skill or agent improve from feedback, establish an improver loop, analyze accumulated agent feedback, or apply an approved skill-improvement proposal. Do not use for ordinary one-off skill edits that have no feedback loop.