
I built /octowiz — a coordinator skill that routes Claude Code through plan / TDD / review using LiteLLM memory
Most AI coding tools give an agent either a giant system prompt or nothing. octowiz takes a third path: doctrine lives in LiteLLM `/v1/memory`, agents fetch only what’s relevant to their current phase, and a `/octowiz` coordinator routes between superpowers and mattpocock-skills.
The result is that a planner gets planning doctrine, an implementer gets TDD loops and deep-module principles, a reviewer gets fresh-context-review discipline. None of them carry the others’ doctrine as noise.
What you get:
- 26 LiteLLM memories distilled from Matt Pocock’s AI Engineer workshop (planner / implementer / reviewer / qa slices, plus routing contracts).
- `/octowiz` slash command — reads project state, picks A/B/C/D (fresh idea / stress-test plan / implement / review), routes to the right upstream skill.
- v0.2 ships a local cache for the durable doctrine. Sub-second boot, offline fallback when LiteLLM is unreachable.
OSS, MIT, no signup. I built this on top of work by Matt Pocock and Jesse Vincent — neither library is bundled, octowiz just routes.
Repo: https://github.com/raelli/octowiz
Genuinely curious what other Claude Code users do for keeping context tight across long-running coding sessions.