invoke-alpha

Initiate a deterministic cross-skill invocation chain and report outcomes.

2|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/agent-ecosystem/agent-skill-implementation --skill invoke-alpha
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: invoke-alpha
Source: https://github.com/agent-ecosystem/agent-skill-implementation/tree/main/benchmark-skills/invoke-alpha
Command: npx skills add https://github.com/agent-ecosystem/agent-skill-implementation --skill invoke-alpha

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a deterministic starter for testing cross-skill invocation chains, enabling consistent observation of downstream skill behavior and flow control.

Core Features & Use Cases

  • Sequential initiation: automatically starts the three-skill chain by invoking subsequent skills.
  • Traceable reporting: emits activation and completion notes to help diagnose flow and outcomes.
  • Language sensitivity test: supports scenarios to validate responses across different languages and prompts.

Quick Start

Instruct the AI to begin with the first skill in the chain to observe the full invocation sequence.

Frequently Asked Questions about invoke-alpha

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

FAQPage Schema
How do I test cross-skill invocation chains for orchestration flow control?

Cross-skill invocation chains are tested by starting with a deterministic initiator skill that activates sequential skills and emits traceable reports. This validates orchestration flow, depth handling, and language sensitivity across the entire sequence.

What is the best way to validate language sensitivity across a multi-skill sequence?

Language sensitivity is validated by initiating a structured cross-skill chain that passes prompts through sequential skills. The initiator triggers downstream skills and reports outcomes to observe response variations across different languages.

Can I trace activation and completion outcomes during sequential skill orchestration?

Sequential skill orchestration supports traceable reporting by emitting activation and completion notes at each step. This diagnostic output helps track flow control and identify exact outcomes throughout the invocation chain.

How do I start a deterministic multi-skill chain to observe downstream behavior?

A deterministic multi-skill chain starts by instructing the AI to begin with the first skill in the sequence. This automatically triggers subsequent skills in order, ensuring a structured activation flow for consistent observation.

Does a cross-skill invocation chain require dependencies to test depth handling?

Cross-skill invocation chains require no external dependencies to test depth handling. The starter skill initiates the sequence internally, automatically invoking the next skill to validate orchestration depth without prerequisite modules.

Why does my cross-skill chain need a deterministic starter skill for testing?

A deterministic starter skill is needed to ensure consistent observation of downstream behavior and flow control. It provides a fixed entry point that standardizes the sequence, making diagnostic reporting reliable across test runs.