skill-name

Define explicit trigger conditions and process flows in SKILL.md frontmatter.

Updated Apr 29, 2026
One-click install
npx skills add https://github.com/Greyborne/OB1-Canobi --skill skill-name-greyborne
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-name
Source: https://github.com/Greyborne/OB1-Canobi/tree/main/skills/_template
Command: npx skills add https://github.com/Greyborne/OB1-Canobi --skill skill-name-greyborne

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a reusable, consistent way to tell an AI client exactly when to respond and what inputs to expect, reducing missed instructions and unpredictable outcomes.

Core Features & Use Cases

  • Clear trigger conditions: Defines exact phrases, symptoms, file types, or workflows that activate the Skill.
  • Deterministic process flow: Specifies a step-by-step action sequence so the AI can complete the intended task reliably.
  • Expected output specification: Establishes what the user should receive, enabling consistent verification and handoff.

Quick Start

Install the skill by copying SKILL.md into the correct client skill directory and then invoke it using the trigger conditions described in SKILL.md.

Frequently Asked Questions about skill-name

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

FAQPage Schema
How do I set reliable trigger rules for AI workflow automation?

Trigger rules for AI workflow automation are set by defining explicit activation conditions, such as exact phrases or file types, in a SKILL.md file. This standardizes how an AI client identifies activation moments to produce consistent outputs.

What are deterministic process flows for prompt instructions?

Deterministic process flows for prompt instructions specify a step-by-step action sequence within an AI skill. This ensures the AI can complete intended tasks reliably by mapping trigger conditions to expected outputs without unpredictable outcomes.

How do I ensure consistent outputs when client customization varies inputs?

Consistent outputs during client customization are ensured by establishing an expected output specification and a required process flow. This stabilizes the response structure even when the activation logic handles varying input data.

Do I need YAML frontmatter to define operational guidance for AI skills?

Yes, YAML frontmatter is required to define operational guidance for AI skills. You must include a name and description in the SKILL.md frontmatter alongside the operational instructions that map triggers to expected outputs.

Can this trigger rule approach be used for recurring support tasks?

Yes, this trigger rule approach is suitable for recurring support tasks where inputs vary. It maintains stable activation logic and response structure, making it ideal for recurring support, workflow, or capture tasks.