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opp-repl-ai-workflows

Orchestrate opp_repl simulation workflows using MCP or CLI tools.

Updated Apr 23, 2026
Search Tags:#automation#mcp#recipes#ai-workflows#cookbook#opp_repl#simulation-management
One-click install
npx skills add https://github.com/tabgab/opp_repl-skill --skill opp-repl-ai-workflows
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: opp-repl-ai-workflows
Source: https://github.com/tabgab/opp_repl-skill/tree/main/opp-repl-ai-workflows
Command: npx skills add https://github.com/tabgab/opp_repl-skill --skill opp-repl-ai-workflows

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a cookbook of end-to-end AI-driven workflows to orchestrate opp_repl simulations, regression analysis, parameter tuning, and project scaffolding, reducing manual setup and cognitive burden for agents.

Core Features & Use Cases

  • Cookbook of recipes: explicit, prereq-driven task sequences for common opp_repl workflows.
  • Flexible loading: coordinates prerequisite skills (MCP-based or shell-based) and loads the right siblings via a decision tree.
  • Use cases: run simulations and report, investigate regressions, tune parameters, release gate tasks, and set up new projects from scratch.

Quick Start

Load this cookbook alongside opp-repl-mcp-server to begin executing the recipes for simulations, regressions, and project setup.

Frequently Asked Questions about opp-repl-ai-workflows

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

FAQPage Schema
How do I automate opp_repl simulation workflows end-to-end?▼

Investigate regressions using prereq-driven AI workflows that coordinate prerequisite skills and step-by-step decision trees. The cookbook loads the right siblings to trace, simulate, and analyze regression behavior automatically.

Can I use AI workflows for parameter tuning and release gating?▼

Set up new opp_repl projects from scratch by following AI-driven scaffolding recipes. The cookbook coordinates prerequisite skills to scaffold project structures, reducing cognitive burden and manual configuration for agents.

Do I need MCP tools to run opp_repl AI workflows?▼

Orchestrating AI workflows coordinates multiple prerequisite skills by using a decision tree to load the right siblings. This flexible loading mechanism supports both MCP-based and shell-based prerequisite skills to execute end-to-end opp_repl tasks.

What is the best way to coordinate prerequisite skills for opp_repl tasks?▼

The best way to coordinate prerequisite skills for opp_repl tasks is using a cookbook of prereq-driven recipes. It specifies how to load and execute included recipes via a decision tree, orchestrating multiple skills for simulations and project scaffolding.

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