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andrey-belen
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skills-registry

Match skills to tasks using keyword matching and ranking rules.

Updated Aug 23, 2026
Search Tags:#skills#prioritization#registry#enforcement#ranking#matching#task context
One-click install
npx skills add https://github.com/andrey-belen/alto-iam-cloud --skill skills-registry-andrey-belen
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skills-registry
Source: https://github.com/andrey-belen/alto-iam-cloud/tree/main/.claude/skills/skills-registry
Command: npx skills add https://github.com/andrey-belen/alto-iam-cloud --skill skills-registry-andrey-belen

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Dynamic skill discovery and matching for any task context. An AI agent can identify relevant capabilities early in a task, or when context shifts, to guide skill usage.

Core Features & Use Cases

  • Dynamic discovery and ranking of applicable skills based on task context
  • When- and priority-based recommendations to support decision making
  • Output formats for Required and Suggested skills to drive agent actions

Quick Start

Use the skills-registry skill to match skills for the current task context.

Frequently Asked Questions about skills-registry

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

FAQPage Schema
How do I dynamically match and rank skills for a specific task context?▼

Dynamic skill matching identifies relevant capabilities for a task context by applying deterministic keyword matching, when conditions, and priority-based ranking rules to produce a ranked list of Required and Suggested skills.

What is the best way to prioritize and enforce skill recommendations during task initiation?▼

Skill prioritization and enforcement use ranking rules based on priority levels and when-conditions to evaluate task context, producing categorized Required and Suggested skill recommendations to guide agent decisions.

How does deterministic keyword matching work for discovering applicable skills?▼

Deterministic keyword matching evaluates task context keywords against skill definitions, combining results with priority and enforcement rules to output a ranked list of applicable capabilities for agent actions.

Can I use skill ranking rules to separate Required skills from Suggested skills?▼

Yes, skill ranking rules apply priority and enforcement conditions to categorize matches, generating distinct output formats for Required skills and Suggested skills to drive appropriate agent actions.

When do I need dynamic skill discovery for an AI agent workflow?▼

Dynamic skill discovery is needed during task initiation, when context shifts, or when an agent requires recommended skills for current goals to ensure relevant capabilities are identified and applied early.

Why use priority-based ranking instead of simple keyword matching for skill selection?▼

Priority-based ranking adds enforcement and when-conditions to keyword matching, ensuring skills are not just textually relevant but appropriately prioritized and categorized as Required or Suggested for the task context.

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