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time-stepping

Maintainer FreedomIntelligence · Last updated April 1, 2026

Plan and control time-step policies for simulations. Use when coupling CFL/physics limits with adaptive stepping, ramping initial transients, scheduling outputs/checkpoints, or planning restart strategies for long runs.

OpenClawNanoClawAnalysisReproductiontime-stepping📊 data science & toolscomputational simulation & ontologyplan

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/time-stepping

Maintainer: FreedomIntelligence
License: MIT
Last updated: April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

Provide a reliable workflow for choosing, ramping, and monitoring time steps plus output/checkpoint cadence.
python3 scripts/timestep_planner.py --dt-target 1e-4 --dt-limit 2e-4 --safety 0.8 --ramp-steps 10 --json.

Source Doc

Excerpt From SKILL.md

Requirements

Python 3.8+
No external dependencies (uses stdlib)

Inputs to Gather

Input	Description	Example
Stability limits	CFL/Fourier/reaction limits	`dt_max = 1e-4`
Target dt	Desired time step	`1e-5`
Total run time	Simulation duration	`10 s`
Output interval	Time between outputs	`0.1 s`
Checkpoint cost	Time to write checkpoint	`120 s`

Ramping Strategy

Problem Type	Ramp Steps	Initial dt
Smooth IC	None needed	Full dt
Sharp gradients	5-10	0.1 × dt
Phase change	10-20	0.01 × dt
Cold start	10-50	0.001 × dt

Use cases

Use when coupling CFL/physics limits with adaptive stepping, ramping initial transients, scheduling outputs/checkpoints, or planning restart strategies for long runs.

Not for

Do not rely on this catalog entry alone for installation or maintenance details.

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