loop-converge

# loop-converge — a loop-graph preset for slimming code A thin authoring entry. It binds a code-convergence pack, starts the owner interview, then follows [`loop-graph`](../loop-graph/SKILL.md) to compile a normal two-node run (executor + supervisor). It is not a third runtime node and it does not ship a second template set. ## Fit check - Use this when unused or duplicate code will take many verified rounds to remove, merge, or reuse, and an independent audit should keep the bar from sliding into a rewrite. - If the request is a one-shot tidy that fits a normal host task, say so and send the task directly. Do not wrap it in a graph. ## On invoke 1. Inspect the workspace and the current host the same way loop-graph does. Never ask which client this is when context already identifies it. 2. Read and bind [`preset.md`](preset.md). That pack **is** the North Star, the supervisor requirement, the method guards, the knob overrides, the recommended milestones, and the detector hints. Do not redesign them. 3. Start the owner interview immediately. With this pack bound, ask at most the three questions the pack names — **scope**, **authority**, **launch mode** — each as a recommended A/B (or A/B/C) choice. Do not ask for a North Star. Do not offer to omit the supervisor. 4. Read and follow [`../loop-graph/SKILL.md`](../loop-graph/SKILL.md) from **When called from a preset skill** through generate and deliver. Compile only from loop-graph's [`template...