Guide the user through an independent iFixAi audit of their own agent, checking whether it does the job it is supposed to do given their business rules and org structure. Prefer pointing it at the user's REAL deployed agent over its HTTP endpoint (its actual tools, retrieval, and governance) with --provider http…
The missing feedback loop for agentic development. Builds a living user model from AI coding session transcripts — extracts who the user is, what the AI keeps getting wrong, and what rules would prevent those mistakes. Writes the result to the memory system so every new session starts informed.
Grounds moral, ethical, and spiritual reasoning in the King James Version (1769) Holy Bible. Use when the user raises ethical dilemmas, spiritual or theological questions, questions about human purpose or suffering, requests for Scripture (quotes, passages, references), prayer or devotional content, or stewardship…
Mandatory coding discipline rules that prevent common AI coding anti-patterns. MUST be loaded for ALL code writing, editing, reviewing, bug fixing, and testing tasks. Trigger on: writing code, editing code, fixing bugs, writing tests, implementing features, refactoring, code review, creating functions, adding error…
Use when an AI system behaves unexpectedly, produces harmful or biased outputs, degrades in performance, is subject to a complaint, or when a potential AI-related incident is identified.
Use when about to mark any AI feature, model, or system complete, or when a PR is ready to merge. This is the final gate — run before every AI feature ships.
Use when designing autonomous AI agents, agentic pipelines, or any system that takes actions without direct user instruction for each step. Must be read before writing any agent orchestration code.