vc-agent-strategy-compare

Evaluate four execution strategies for RIPER-5 fan-out tasks with scoring and cost guards.

1.1k|223|Updated May 27, 2026

Search Tags:#workflow #strategy #orchestration #parallel #agent-team #riper-5 #vc-agent

Ready to run

npx skills add https://github.com/withkynam/vibecode-pro-max-kit --skill vc-agent-strategy-compare

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: vc-agent-strategy-compare
Source: https://github.com/withkynam/vibecode-pro-max-kit/tree/main/.claude/skills/vc-agent-strategy-compare
Command: npx skills add https://github.com/withkynam/vibecode-pro-max-kit --skill vc-agent-strategy-compare

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Evaluates and compares four execution strategies to help teams choose the most effective orchestration for RIPER-5 fan-out tasks, balancing speed, cost, and coordination.

Core Features & Use Cases

Outputs a 7-signal scoring table, shows explicit agent-count math, applies cost guards, and provides a ranked strategy recommendation.
Supports Model Selection Policy and Mode Selection guidance to decide how agents are spawned and executed (sonnet vs opus, simple vs deep mode).
Useful for planning and executing complex fan-outs across multiple plan items or phases with predictable governance.

Quick Start

Pass a description of your fan-out task to this skill and obtain a recommended strategy with counts and guardrails.

Frequently Asked Questions about vc-agent-strategy-compare

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

FAQPage Schema

What is the best way to orchestrate parallel agent fan-out tasks?▼

Orchestrating parallel agent fan-out tasks requires evaluating execution strategies against speed, cost, and coordination constraints. This skill compares four strategies using a 7-signal scoring table and agent-count math, producing a ranked recommendation with cost guardrails.

How do I determine the right number of agents for a multi-agent workflow?▼

Determining the right agent count for a multi-agent workflow involves applying explicit agent-count math based on your plan items. This skill calculates required agents by enforcing model selection rules and cost guard thresholds to ensure predictable governance.

When do I need to use sonnet versus opus models in agent orchestration?▼

Choosing between sonnet and opus models in agent orchestration depends on the execution strategy and mode variant. This skill enforces model selection policies, differentiating between simple and deep modes, to determine how agents are spawned and executed.

How do I apply cost guards to a parallel execution strategy?▼

Applying cost guards to a parallel execution strategy ensures orchestration remains within budget thresholds. This skill evaluates four fan-out strategies and applies cost guard thresholds, producing a ranked recommendation that satisfies governance constraints.

Does this strategy comparison tool support simple and deep mode variants?▼

Yes, this strategy comparison tool supports simple and deep mode variants for RIPER-5 fan-out tasks. It evaluates execution strategies by applying mode selection guidance to decide how agents are spawned and executed across multiple plan items.