numerical-integration
Select and configure time integration methods for ODE/PDE simulations. Use when choosing explicit/implicit schemes, setting error tolerances, adapting time steps, diagnosing integration accuracy, planning IMEX splitting, or handling stiff/non-stiff coupled systems.
Best use case
numerical-integration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Select and configure time integration methods for ODE/PDE simulations. Use when choosing explicit/implicit schemes, setting error tolerances, adapting time steps, diagnosing integration accuracy, planning IMEX splitting, or handling stiff/non-stiff coupled systems.
Teams using numerical-integration should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/numerical-integration/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How numerical-integration Compares
| Feature / Agent | numerical-integration | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Select and configure time integration methods for ODE/PDE simulations. Use when choosing explicit/implicit schemes, setting error tolerances, adapting time steps, diagnosing integration accuracy, planning IMEX splitting, or handling stiff/non-stiff coupled systems.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Numerical Integration
## Goal
Provide a reliable workflow to select integrators, set tolerances, and manage adaptive time stepping for time-dependent simulations.
## Requirements
- Python 3.8+
- NumPy (for some scripts)
- No heavy dependencies for core functionality
## Inputs to Gather
| Input | Description | Example |
|-------|-------------|---------|
| Problem type | ODE/PDE, stiff/non-stiff | `stiff PDE` |
| Jacobian available | Can compute ∂f/∂u? | `yes` |
| Target accuracy | Desired error level | `1e-6` |
| Constraints | Memory, implicit allowed? | `implicit OK` |
| Time scale | Characteristic time | `1e-3 s` |
## Decision Guidance
### Choosing an Integrator
```
Is the problem stiff?
├── YES → Is Jacobian available?
│ ├── YES → Use Rosenbrock or BDF
│ └── NO → Use BDF with numerical Jacobian
└── NO → Is high accuracy needed?
├── YES → Use RK45 or DOP853
└── NO → Use RK4 or Adams-Bashforth
```
### Stiff vs Non-Stiff Detection
| Symptom | Likely Stiff | Action |
|---------|--------------|--------|
| dt shrinks to tiny values | Yes | Switch to implicit |
| Eigenvalues span many decades | Yes | Use BDF/Radau |
| Smooth solution, reasonable dt | No | Stay explicit |
## Script Outputs (JSON Fields)
| Script | Key Outputs |
|--------|-------------|
| `scripts/error_norm.py` | `error_norm`, `scale_min`, `scale_max` |
| `scripts/adaptive_step_controller.py` | `accept`, `dt_next`, `factor` |
| `scripts/integrator_selector.py` | `recommended`, `alternatives`, `notes` |
| `scripts/imex_split_planner.py` | `implicit_terms`, `explicit_terms`, `splitting_strategy` |
| `scripts/splitting_error_estimator.py` | `error_estimate`, `substeps` |
## Workflow
1. **Classify stiffness** - Check eigenvalue spread or use stiffness_detector
2. **Choose tolerances** - See `references/tolerance_guidelines.md`
3. **Select integrator** - Run `scripts/integrator_selector.py`
4. **Compute error norms** - Use `scripts/error_norm.py` for step acceptance
5. **Adapt step size** - Use `scripts/adaptive_step_controller.py`
6. **Plan IMEX/splitting** - If mixed stiff/nonstiff, use `scripts/imex_split_planner.py`
7. **Validate convergence** - Repeat with tighter tolerances
## Conversational Workflow Example
**User**: I'm solving the Allen-Cahn equation with a stiff double-well potential. What integrator should I use?
**Agent workflow**:
1. Check integrator options:
```bash
python3 scripts/integrator_selector.py --stiff --jacobian-available --accuracy high --json
```
2. Plan the IMEX splitting (diffusion implicit, reaction explicit):
```bash
python3 scripts/imex_split_planner.py --stiff-terms diffusion --nonstiff-terms reaction --coupling weak --json
```
3. Recommend: Use IMEX-BDF2 with diffusion term implicit, double-well reaction explicit.
## Pre-Integration Checklist
- [ ] Identify stiffness and dominant time scales
- [ ] Set `rtol`/`atol` consistent with physics and units
- [ ] Confirm integrator compatibility with stiffness
- [ ] Use error norm to accept/reject steps
- [ ] Verify convergence with tighter tolerance run
## CLI Examples
```bash
# Select integrator for stiff problem with Jacobian
python3 scripts/integrator_selector.py --stiff --jacobian-available --accuracy high --json
# Compute scaled error norm
python3 scripts/error_norm.py --error 0.01,0.02 --solution 1.0,2.0 --rtol 1e-3 --atol 1e-6 --json
# Adaptive step control with PI controller
python3 scripts/adaptive_step_controller.py --dt 1e-2 --error-norm 0.8 --order 4 --controller pi --json
# Plan IMEX splitting
python3 scripts/imex_split_planner.py --stiff-terms diffusion,elastic --nonstiff-terms reaction --coupling strong --json
# Estimate splitting error
python3 scripts/splitting_error_estimator.py --dt 1e-4 --scheme strang --commutator-norm 50 --target-error 1e-6 --json
```
## Error Handling
| Error | Cause | Resolution |
|-------|-------|------------|
| `rtol and atol must be positive` | Invalid tolerances | Use positive values |
| `error-norm must be positive` | Negative error norm | Check error computation |
| `Unknown controller` | Invalid controller type | Use `i`, `pi`, or `pid` |
| `Splitting requires at least one term` | Empty term list | Specify stiff or nonstiff terms |
## Interpretation Guidance
### Error Norm Values
| Error Norm | Meaning | Action |
|------------|---------|--------|
| < 1.0 | Step acceptable | Accept, maybe increase dt |
| ≈ 1.0 | At tolerance boundary | Accept with current dt |
| > 1.0 | Step rejected | Reject, reduce dt |
### Controller Selection
| Controller | Properties | Best For |
|------------|------------|----------|
| I (integral) | Simple, some overshoot | Non-stiff, moderate accuracy |
| PI (proportional-integral) | Smooth, robust | General use |
| PID | Aggressive adaptation | Rapidly varying dynamics |
### IMEX Strategy
| Coupling | Strategy |
|----------|----------|
| Weak | Simple operator splitting |
| Moderate | Strang splitting |
| Strong | Fully coupled IMEX-RK |
## Limitations
- **No automatic stiffness detection**: Use stiffness_detector from numerical-stability
- **Splitting assumes separability**: Terms must be cleanly separable
- **Jacobian requirement**: Some methods need analytical or numerical Jacobian
## References
- `references/method_catalog.md` - Integrator options and properties
- `references/tolerance_guidelines.md` - Choosing rtol/atol
- `references/error_control.md` - Error norm and adaptation formulas
- `references/imex_guidelines.md` - Stiff/non-stiff splitting
- `references/splitting_catalog.md` - Operator splitting patterns
- `references/multiphase_field_patterns.md` - Phase-field specific splits
## Version History
- **v1.1.0** (2024-12-24): Enhanced documentation, decision guidance, examples
- **v1.0.0**: Initial release with 5 integration scriptsRelated Skills
tooluniverse-multi-omics-integration
Integrate and analyze multiple omics datasets (transcriptomics, proteomics, epigenomics, genomics, metabolomics) for systems biology and precision medicine. Performs cross-omics correlation, multi-omics clustering (MOFA+, NMF), pathway-level integration, and sample matching. Coordinates ToolUniverse skills for expression data (RNA-seq), epigenomics (methylation, ChIP-seq), variants (SNVs, CNVs), protein interactions, and pathway enrichment. Use when analyzing multi-omics datasets, performing integrative analysis, discovering multi-omics biomarkers, studying disease mechanisms across molecular layers, or conducting systems biology research that requires coordinated analysis of transcriptome, genome, epigenome, proteome, and metabolome data.
single-cell-multi-omics-integration
Quick-reference sheet for OmicVerse tutorials spanning MOFA, GLUE pairing, SIMBA integration, TOSICA transfer, and StaVIA cartography.
protocolsio-integration
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
opentrons-integration
Lab automation platform for Flex/OT-2 robots. Write Protocol API v2 protocols, liquid handling, hardware modules (heater-shaker, thermocycler), labware management, for automated pipetting workflows.
omero-integration
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
numerical-stability
Analyze and enforce numerical stability for time-dependent PDE simulations. Use when selecting time steps, choosing explicit/implicit schemes, diagnosing numerical blow-up, checking CFL/Fourier criteria, von Neumann analysis, matrix conditioning, or detecting stiffness in advection/diffusion/reaction problems.
latchbio-integration
Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
labarchive-integration
Electronic lab notebook API integration. Access notebooks, manage entries/attachments, backup notebooks, integrate with Protocols.io/Jupyter/REDCap, for programmatic ELN workflows.
dnanexus-integration
DNAnexus cloud genomics platform. Build apps/applets, manage data (upload/download), dxpy Python SDK, run workflows, FASTQ/BAM/VCF, for genomics pipeline development and execution.
bio-single-cell-multimodal-integration
Analyze multi-modal single-cell data (CITE-seq, Multiome, spatial). Use when working with data that measures multiple modalities per cell like RNA + protein or RNA + ATAC. Use when analyzing CITE-seq, Multiome, or other multi-modal single-cell data.
bio-single-cell-batch-integration
Integrate multiple scRNA-seq samples/batches using Harmony, scVI, Seurat anchors, and fastMNN. Remove technical variation while preserving biological differences. Use when integrating multiple scRNA-seq batches or datasets.
bio-multi-omics-mofa-integration
Multi-Omics Factor Analysis (MOFA2) for unsupervised integration of multiple data modalities. Identifies shared and view-specific sources of variation. Use when integrating RNA-seq, proteomics, methylation, or other omics to discover latent factors driving biological variation across modalities.