claude

simmer

Iterative artifact refinement - hone any artifact or workspace over multiple rounds using criteria-driven judge feedback, runnable evaluators, and focused directional improvements

16 on GitHubv3.0.1MITupdated 11 days ago

Not in a marketplace yet, so it loads for one session with --plugin-dir.

Plugin simmer in 2389-research/simmer. Commands read from the repo's manifest — 11 days ago.

What it installs

Skills (6)

  • simmer-generator

    Do not invoke directly — dispatched as a subagent by the simmer orchestrator. Produces an improved artifact version by executing the judge's ASI (highest-leverage direction), targeting single-file edits or coordinated multi-file workspace changes.

  • simmer-judge-board

    Do not invoke directly — dispatched by the simmer orchestrator when JUDGE_MODE is board. Runs a panel of perspective-diverse judges to produce consensus scores and a single ASI; drop-in replacement for simmer-judge used for complex or plateaued artifacts.

  • simmer-judge

    Not invoked from user context — dispatched by the simmer orchestrator and simmer-judge-board panelists. Scores a candidate artifact against user-defined criteria on a 1-10 scale and produces an ASI (highest-leverage direction) for the next generator round.

  • simmer-reflect

    Do not invoke directly — called by the simmer orchestrator after each judge round. Records iteration scores in the trajectory table, tracks the best candidate across regressions, and passes the ASI forward to the next generator.

  • simmer-setup

    Do not invoke directly — called by the simmer orchestrator. Inspects the artifact or workspace, infers evaluation contracts and search space, proposes an assessment for user confirmation, and emits the setup brief that drives the entire refinement loop.

  • simmer

    Refines any artifact through scored iterations using an investigation-first judge board. Use when the user says "simmer this", "refine this", "hone this", or wants to improve a document, prompt, email, design, spec, or pipeline through multiple rounds of criteria-driven feedback.

View source on GitHub 2389.ai

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