workflow-simulator

Simulates workflow plans to predict failure paths, approval rejections, and budget outcomes without mutating state.

Updated Aug 1, 2026
One-click install
npx skills add https://github.com/QuyDu/Skills-Orchestrator --skill workflow-simulator-quydu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: workflow-simulator
Source: https://github.com/QuyDu/Skills-Orchestrator/tree/main/.github/skills/workflow-simulator
Command: npx skills add https://github.com/QuyDu/Skills-Orchestrator --skill workflow-simulator-quydu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Committing to a workflow plan without knowing how it behaves under failure, denial, delay, or budget pressure leads to costly surprises. This Skill dry-runs a proposed plan against deterministic scenarios so risks surface before any real execution. ## Core Features & Use Cases - Scenario Simulation: Executes baseline and stress runs with injected failure, denial, delay, and interruption variables. - Risk Measurement: Reports completion likelihood, bottlenecks, policy rejection impact, and budget exposure. - Mitigation Recommendations: Suggests reordering steps, adding checkpoints, or adjusting approvals mapped to specific simulated failure paths. - Use Case: Before rolling out a multi-stage remediation workflow, simulate approval rejection paths and budget-overrun risk under reduced execution capacity, then adjust the plan based on the generated reports. ## Quick Start Ask the agent to simulate the proposed workflow plan from workflow-planner under failure and budget-stress scenarios and produce the simulation report.

Frequently Asked Questions about workflow-simulator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I dry-run a workflow plan before executing it?

Provide the proposed plan from workflow-planner along with policy outcomes, and the simulator executes baseline and stress scenario runs without mutating real state. It reports completion likelihood, bottlenecks, and budget exposure in JSON and Markdown reports.

How to test approval rejection paths in a multi-stage workflow?

Inject deterministic denial and delay variables into the simulation runs to model approval rejection behavior. The output maps each risk to a reproducible scenario and recommends mitigations such as reordering steps or adjusting approvals.

Does workflow simulation change real systems or data?

No. The skill is non-mutating by design: it parses the plan into state transitions and runs simulations without touching operational workflow state, external systems, or accepted event-stream records.

What inputs are required to run a workflow simulation?

It requires a proposed workflow plan from workflow-planner, policy outcomes and constraints from policy-engine, and simulation assumptions such as failure rates, budget limits, capacity, and approval response models. Incomplete inputs cause it to fail closed with a blocked output.

When should I not rely on workflow simulation results?

Do not treat projections as validated operational outcomes; they are scenario-based estimates tied to explicit assumptions. High-impact recommendations still require explicit human approval before being acted on.