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 simpyRun 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
| Date | Repo stars |
|---|---|
| 5 Oct 2026 | 47,652 |
| 4 Oct 2026 | 47,541 |
| 3 Oct 2026 | 47,444 |
| 2 Oct 2026 | 47,351 |
| 1 Oct 2026 | 47,271 |
| 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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