Cook a recipe from an acceptance criterion
Take one criterion off a ticket and end with a rerunnable proof of it. The
recipe-cook skill drives this; you steer at the gates.
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The flow
Cook classifies the request, then runs one checklist to completion.
Template discovery runs through mm-harness execution-template, the same discovery
contract as actions and recipes. Your team's library can supply its own templates.
For dev and fix-bug, Cook prints the compatible template IDs with a
recommendation and then stops. It takes no further action until you reply with a number or an
exact ID. This is the steering point: the flow is chosen by you, not inferred.
Follow along
Pick a small, real criterion — one observable behaviour, not a whole epic.
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Start Cook in your checkout
In Claude or Cursor, invoke the skill with your task in plain language:
/mms-recipe-cook Prove that a resting limit order can be repriced without losing its triggerIn Codex, the same skill is addressed as
$mms-recipe-cook. Product is auto-detected; you will not be asked which repo you are in. -
Choose the template
Cook lists compatible IDs with one recommended. Reply with the number. It recommends an interactive template when human judgment is still needed and an autonomous one when it is not.
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Watch discovery set the boundary
Before authoring anything, the vocabulary is fixed. Run it yourself to see what Cook is choosing from:
$ mm-harness actions --categories $ mm-harness actions --action assert_ordersAn action outside this list cannot be written into a working recipe — validation rejects it before execution. That constraint is what makes the output trustworthy rather than plausible.
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Validate before executing
Exit 5 means the recipe is wrong and nothing ran.
$ mm-harness run ./my-recipe.json --plan✓ [static] validate.schema: recipe document schema + action existence/platform vs the adapter manifest · [conditional] execute.nodes: would execute 4 recipe node(s) -
Run it, then try to break it
$ mm-harness run ./my-recipe.json --artifacts-dir ./proofThen revert the change and run it again. A recipe you have watched fail for the right reason is one you can trust when it passes. If reverting the behaviour leaves it green, it is not proving what you think.
Expect one failure-and-fix loop during authoring. Each error names its own next command; follow it rather than guessing. The falsifiability test lists the four shapes that pass for the wrong reasons.