System Ir — AI skill for Claude Code

SCC continuously compiles code, configuration, infrastructure, runtime evidence, tests, and declared architectural intent into a **verified machine model of the software system** — then emits small, task-specific context packs so AI coding agents start every task with correct system understanding instead of rediscovering it through search. Every fact carries a provenance class and points at the exact evidence that supports it; stale facts never enter trusted context.

Give agents more repository understanding per token, not more repository text.

How it works

flowchart LR
    A[Source code] --> B[Reality Graph]
    C[Config and infra] --> B
    D[Runtime traces] --> B
    E[Intent] --> B
    F[External analyzers] --> B
    B --> G[System IR]
    G --> H[System Atlas]
    H --> I[Context Compiler]
    I --> J[Context packs]
    J --> K[Coding agents]
    K --> L[Exact tools]
    L --> A

The authority chain is strict:

runtime observation + compiler/LSP facts > deterministic extraction
> declared architecture > high-confidence inference > memory > model assumption