SuperAPI AI Directory

loop-deliver

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Updated 10-16 06:23

About this skill

loop-deliver — a loop-graph preset for requirements

A thin authoring entry. It binds a requirement-delivery pack, starts the owner interview, then follows loop-graph to compile the normal executor, ledger, directives, ops, and supervisor artifacts. It is not a second runtime and it does not ship a second template set.

Fit check

  • Use this when a feature, integration, migration, or behavior change needs several verified slices and an independent acceptance audit.
  • Use ../loop-converge/SKILL.md when the goal is code cleanup or consolidation. Use ../loop-research/SKILL.md when the decision between approaches is still open.
  • If the requirement fits one normal host task, say so and send it directly. Do not wrap it in a graph.

On invoke

  1. Inspect the workspace and 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. That pack is the North Star, supervisor requirement, interview, shape, method guards, knob overrides, and artifact emphasis. Do not redesign them.
  3. Start the owner interview immediately. Ask only the pack's unresolved choices — outcome/acceptance, authority, and launch — as recommended A/B (or A/B/C) choices. Do not ask the owner to invent a plan.
  4. Read and follow ../loop-graph/SKILL.md from When called from a preset skill through generate and deliver. Compile only from loop-graph's templates/. This skill never executes the generated nodes.