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swmm-modeling-memory

Read historical Agentic SWMM experiment audit artifacts and summarize repeated assumptions, QA issues, failures, missing evidence, run-to-run differences, lessons learned, and controlled skill update proposals. Use downstream of swmm-experiment-audit when multiple audited runs exist or when a user asks for modeling memory, failure-pattern extraction, lessons learned, or human-reviewed skill refine

13estrelas
Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

Como adicionar

/plugin marketplace add Zhonghao1995/agentic-swmm-workflow

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/swmm-modeling-memory/svg)](https://www.skillteca.com.br/skills/swmm-modeling-memory)

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Ler descrição completa

SWMM Modeling Memory

What this skill provides

  • A downstream memory layer for audited Agentic SWMM runs.
  • Deterministic summaries of repeated assumptions, QA issues, failures, missing evidence, and run-to-run differences.
  • Run-level memory_summary.json cards that compress audit artifacts into reusable next-run context.
  • Project/case-level memory groups that keep Tod Creek, Tecnopolo, TUFLOW, Generate_SWMM_inp, acceptance, and other cases separate.
  • Summaries of deterministic SWMM-sp

[Description truncada. Veja o README completo no GitHub.]

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