mcpbeat

Sim CLI

svd-ai-lab/sim-cli

Cross-solver operating discipline for sim-cli workflows — tool choice, input classification, acceptance semantics, and escalation rules that apply across solvers. Use alongside the solver's own plugin skill, which is self-contained for solver-specific work; this skill carries only the shared rules.

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the whole folder, loaded on every use
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how many repositories repackaged it
193
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/svd-ai-lab/sim-cli --skill sim-cli

The instruction itself

6 sections, as written by the author

sim-cli

You are working in a sim-cli-enabled solver workflow. Use the sim

runtime where it adds control and observability, and compose solver-native

tools directly where they are the right primitive. This skill carries the

cross-solver discipline — the rules that hold across sim-cli workflows,

regardless of which solver you drive.

The solver's plugin skill is self-contained for solver-specific work:

solver hard constraints, dependency chains, snippets, workflows, SDK/solver

notes. It does not depend on loading this skill — but it should stay

consistent with the discipline below. If a rule applies to more than one

solver, it belongs here, not in a plugin skill.


Execution models

The plugin skill tells you which model the solver uses. Choose the narrowest

correct execution primitive; sim-cli is composable, not a universal wrapper.

| Model | Used by | Lifecycle |

|---|---|---|

| Persistent session | Drivers that hold a live process open | sim connect → sim exec × N → sim inspect → sim disconnect |

| sim-wrapped one-shot batch | Plugin wrappers that add linting, profile-aware invocation, parsing, history, or safer execution | sim check → sim run → parse_output/logs → evaluate |

| Native/tool one-shot batch | Ready solver decks/scripts, vendor batch commands, project pipelines, or post-processing tools where native execution is the right primitive | version/profile probe → native command/script → parse artifacts/logs → evaluate |

sim-cli does not try to wrap every solver operation, executable flag,

vendor batch mode, or post-processing script. Use sim when it adds a stable

control plane: solver discovery and profile checks, live sessions, bounded

exec / inspect loops, history/log capture, parsing, screenshots, or shared

agent discipline. If the artifact is already a solver-native deck/script and

the solver's own batch command is the right execution primitive, call that

native command directly instead of forcing it through sim run. Preserve

stdout/stderr, generated files, and acceptance evidence just as carefully.

Use sim run when the plugin skill says it is the canonical one-shot path or

when the wrapper adds real value. Otherwise, keep the sim-cli discipline while

composing the solver's native tools directly.

The loop, any model: classify inputs and get the missing Category A values

from the user (including the acceptance criterion) → choose the execution

primitive → run a Step-0 version/profile probe (sim inspect session.versions

for persistent sessions; sim check <solver>, plugin guidance, or native

--version / license probe for one-shot work) → execute one bounded step at a

time → inspect last.result or parse the native logs/artifacts between steps →

evaluate against the acceptance criterion → sim disconnect if a persistent

session was opened. On any failure, stop and report — do not silently retry.


Hard constraints (shared sim-cli discipline)

  • Never invent Category A defaults. Physical decisions — geometry,

materials, boundary conditions, the acceptance criterion — must come from

the user. "Just use defaults" / "just run it" does not override this;

treat it as a missing input and ask.

  • Step-0 version/profile probe is mandatory. After sim connect, call

sim inspect session.versions and use the returned profile /

active_sdk_layer / active_solver_layer to pick the right files in the

plugin skill. Before sim run or native one-shot execution, run the

relevant probe for that path (sim check <solver>, plugin guidance, or the

solver's native --version / license check). If a required profile is empty,

unknown, or deprecated — stop.

  • Acceptance ≠ exit code. A sim run / sim exec / native solver command

can return success and still be physically wrong. Always validate against an

outcome-based, bounded, measurable criterion — not "the solver ran".

  • Never silently retry a failed step. Report stderr, stdout, and

run_count / completion state / relevant artifact state; let the user

decide the next move.

  • Reference example values are not defaults. Values in any examples/

directory describe a specific published test case. Offer them explicitly

if useful, but wait for the user's confirmation before adopting them.


Input classification

Every task starts with: which inputs must the user supply, which may I

default, which can I derive from the files in front of me?

| Category | Rule | Examples |

|---|---|---|

| A — physical decisions | Must ask if absent. Non-negotiable. | Geometry, materials, boundary/initial conditions, physics-model choices, the acceptance criterion |

| B — operational | May default — must disclose. Affects runtime/convenience, not what the simulation represents. | --processors, --ui-mode, --workspace, smoke-test iteration counts, log verbosity |

| C — file-derivable | Infer from the actual files via a diagnostic sim exec, solver-native inspection command, or artifact parser — not from a similar example. Confirm if a downstream decision depends on it. | Mesh cell count, boundary names/types, fields present in a result file, material IDs |

Do not start until every Category A field has an explicit value from the user.


Where sim serve runs (Windows session-context foot-gun)

If you reach a remote sim host via sim --host <host> or SIM_HOST, **how

the operator started sim serve changes which drivers actually work.** This

is purely a Windows concern — Linux and macOS don't isolate display sessions

the same way.

| sim serve started from… | Headless / CLI drivers | GUI-capable drivers |

|---|---|---|

| Logged-in Windows desktop (Windows Terminal / RDP / Task Scheduler "run only when user is logged on" + interactive) | ✅ works | ✅ works — windows are visible; gui can find / click / screenshot them |

| SSH session (ssh <host> then sim serve …) | ✅ works | ❌ silent breakage — windows launch in a non-interactive session with no display surface; gui finds zero windows, screenshots come back black |

If the host advertises tools: ["gui"] but gui.find(...) returns nothing

for windows you have strong reason to believe exist, do not retry

surface "the server may have been started from a non-interactive session" and

ask the operator to restart sim serve from a desktop session. The agent

never starts sim serve itself.

See gui/SKILL.md for the full GUI actuation API.


Long-running and multi-stage workflows

Do not wait for or request a dedicated per-task primitive (a resumable-sweep

API, an auto-coupling feature, etc.) when the generic primitives already

suffice. Bounded exec/run calls, session.health / solve-progress

inspection, and the solver's own retained project/session state are enough to

drive a long sweep, a multi-stage build, or a staged multi-physics coupling

yourself, one bounded step at a time. Reach for a new dedicated primitive only

when a real session hits a generic gap (no timeout guard, no liveness check,

no process cleanup) — not to shortcut a specific workflow that a generic loop

already covers.

How to use it

Copy the folder

Take svd-ai-lab/sim-cli from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.