using-skills

Enforce the 1% rule and structured skill invocation across tasks.

4|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/JoelLewis/skill-library --skill using-skills-joellewis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: using-skills
Source: https://github.com/JoelLewis/skill-library/tree/main/plugins/meta/skills/using-skills
Command: npx skills add https://github.com/JoelLewis/skill-library --skill using-skills-joellewis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enforces disciplined invocation of other skills to prevent overconfident or ungrounded responses by mandating adherence to the 1% rule before proceeding with any non-trivial task.

Core Features & Use Cases

  • Cross-skill invocation governance: ensures the agent considers and, if necessary, applies other skills prior to generating results.
  • 1% rule enforcement: mandates pausing to assess whether any skill could improve the outcome, preventing hasty generation.
  • Structured invocation workflow: presents a transparent set of applicable skills and executes the chosen skill according to a formal state machine.
  • Recommended and mandatory sub-skills: requires getting-started and suggests prompt-optimizer to refine skill invocations.

Quick Start

Initiate the 1% rule at task receipt and present applicable skills to the user before proceeding.

Frequently Asked Questions about using-skills

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

FAQPage Schema
How do I enforce the 1% rule before an AI agent generates a response?

Skill invocation governance prevents overconfident AI responses by applying the 1% rule at task receipt and during phase transitions, ensuring the agent considers applying other relevant skills before generating any results.

How do I prevent an AI agent from bypassing applicable workflow skills?

You can prevent bypassing applicable skills by implementing a structured invocation workflow that presents transparent skill options and executes chosen skills through a formal state machine.

What is the 1% rule in AI workflow process enforcement?

The 1% rule in workflow process enforcement is a guardrail that mandates pausing to assess whether any available skill could improve the task outcome, preventing hasty generation and ensuring cross-skill invocation is considered.

How do I structure cross-skill invocation to ensure transparent execution?

You structure cross-skill invocation by implementing a formal state machine that presents a transparent set of applicable skills to the user and explicitly executes the selected skill with rigor.

Do I need mandatory sub-skills to apply state machine guardrails?

Yes, state machine guardrails require mandatory sub-skills like getting-started and suggest prompt-optimizer to refine skill invocations and ensure rigorous execution of the 1% rule.