Scientific Computing
Research skill, available on Zeplik
Scientific Computing is a ready-to-run research skill on Zeplik. Scientific and numerical computing in Python — SymPy symbolic math, NetworkX graphs, SimPy simulation, GeoPandas geospatial, Astropy astronomy, FluidSim CFD. Ask in plain language and Zeplik applies the skill's method for you inside the conversation, on whichever AI model you prefer.
The Scientific Computing skill loads automatically when your request matches it, or you can invoke it directly by typing /scientific-computing in any chat. It works with attachments, connectors, and any model that supports the task, so you get the same expert method every time without setting anything up.
What the Scientific Computing skill can do
- Solve symbolic math problems with SymPy including equations and calculus
- Analyze and visualize complex networks and graphs using NetworkX
- Build process-based discrete-event simulations with SimPy
- Process geospatial vector data and run astronomy or CFD computations
Try these prompts on Zeplik
Pick a prompt to open it in the Zeplik app. If you are not signed in yet, your prompt is waiting for you the moment you do.
How the Scientific Computing skill works
/scientific-computing
Umbrella for scientific computing. The user has a mathematical, network, simulation, geospatial, or physics task; pick the library and deliver runnable analysis code plus interpretation. For plotting the results route to python-data-viz.
Dispatch table
Pick the reference file(s) that match the request, read them, then answer. Read at most 2-3 files per turn.
| Topic | Read |
|---|---|
| Comprehensive Python library for astronomy and astrophysics. | references/astropy.md |
| Framework for computational fluid dynamics simulations using Python. | references/fluidsim.md |
| Python library for working with geospatial vector data including shapefiles, GeoJSON, a… | references/geopandas.md |
| Comprehensive toolkit for creating, analyzing, and visualizing complex networks and gra… | references/networkx.md |
| Process-based discrete-event simulation framework in Python. | references/simpy.md |
| Use this skill when working with symbolic mathematics in Python. | references/sympy.md |
How to work
- Identify which leaf topic the request maps to from the dispatch table above; establish the concrete inputs (language, dataset, framework, file format) and the goal. Ask for a missing detail rather than guessing.
- Read the matching reference file(s) before answering. Read at most 2-3 per turn.
- Deliver runnable artifacts — code, configs, specs — with a short rationale, matching the user's existing conventions when they paste code.
- Confirm any decision the source flags (versions, thresholds, tradeoffs) with the user instead of guessing.
Usage
/scientific-computing $ARGUMENTS
How to use the Scientific Computing skill
Sign in to Zeplik
Create a free Zeplik account or sign in. New accounts start with free credits, so you can try the Scientific Computing skill right away.
Describe your research task
Ask in plain language, or type /scientific-computing to invoke the skill directly. Zeplik recognizes the Scientific Computing skill and applies its method.
Review and refine the result
Zeplik returns a clear, structured answer. Ask follow-ups in the same chat to refine it or take the next step.
Source and credit
- Author
- davila7 (D7 umbrella-consolidation)
- License
- MIT
Adapted from the open-source davila7/claude-code-templates project and tuned to run natively on Zeplik. View source on GitHub.
Frequently asked questions
- What is the Scientific Computing skill?
- Scientific Computing is a ready-to-run research skill on Zeplik. Scientific and numerical computing in Python — SymPy symbolic math, NetworkX graphs, SimPy simulation, GeoPandas geospatial, Astropy astronomy, FluidSim CFD. Ask in plain language and Zeplik applies the skill's method for you inside the conversation, on whichever AI model you prefer.
- How do I use Scientific Computing on Zeplik?
- Sign in to Zeplik and ask in plain language, or type /scientific-computing in any chat to invoke it directly. The skill applies its method and returns a result you can refine in the same conversation.
- Which AI model does the Scientific Computing skill use?
- Any model you choose. Zeplik works across every model in one chat, so the Scientific Computing skill runs on your preferred model for the task.
- Where does the Scientific Computing skill come from?
- The Scientific Computing skill is adapted from the open-source davila7/claude-code-templates project (MIT) and tuned to run natively on Zeplik. The original source is linked on this page.
- How much does the Scientific Computing skill cost?
- Using the skill is free to start. You only spend Zeplik credits when the assistant runs, and new accounts begin with free credits.
Related research skills
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- Deep Research ReportsUse for a long, multi-step, sourced research report -- market analysis, competitive landscaping, literature review, due diligence: 'do deep research on X', 'write a full report with citations'. Plans, searches, and synthesizes autonomously. Not for a quick look-up or short synthesis (use research).
More on Zeplik
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