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simpyby K-DenseDevelopmentGitHub stars: 47.7k

SimPy skill: what it does and how to install it

Builds and analyses bounded process-based discrete-event simulations in SimPy, covering scheduling, resources, monitoring, replications and reproducible outputs.

Summary generated from the skill's documentation.

Install

$ npx skills add K-Dense-AI/scientific-agent-skills --skill simpy

Run it in a terminal. If your agent is already running, start a new session so it picks the skill up.

About this skill

What it does. Builds, inspects and tests bounded SimPy 4.1.2 models for queues, production, logistics and service systems. It covers event scheduling, resource contention, interrupts, monitoring, independent replications, warm-up handling and safe local command-line analysis with reproducible seeds.

When to use it. Use it for process-based discrete-event models with explicit time, entity, event and replication limits. It does not determine whether the conceptual model, distributions, estimands or causal interpretation are scientifically valid.

History

Repo stars

47.7kAbout +18.9k since 9 Jul 2026

Before 1 Oct 2026 the curve is estimated from public event data.

Stars are counted for the whole repository, which holds 74 skills.

Show as a table
Repo stars by day
DateRepo stars
5 Oct 202647,652
4 Oct 202647,541
3 Oct 202647,444
2 Oct 202647,351
1 Oct 202647,271
24 Sept 2026 (estimated)46,976
17 Sept 2026 (estimated)46,257
10 Sept 2026 (estimated)41,836
3 Sept 2026 (estimated)30,545
27 Aug 2026 (estimated)29,347
20 Aug 2026 (estimated)29,160
13 Aug 2026 (estimated)29,027
6 Aug 2026 (estimated)28,947
30 Jul 2026 (estimated)28,894
23 Jul 2026 (estimated)28,894
16 Jul 2026 (estimated)28,841
9 Jul 2026 (estimated)28,708

Installs

1.7k

Tracking since . A chart appears once there are 7 days of data.

Installs via skills.sh

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