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Expert Forging Master

AI Agent Updated 2026.08.30

Paste the following prompt into your AI chat to install this skill:

Please follow https://skillhub.cn/install/skillhub.md to install @user_924b0a5e/yrns-expertstructor.

About this skill

Problem Addressed

Creating WorkBuddy expert packages can be error-prone: field rules, directory layout, agent versus team classification, scattered source material, missing license, and unstable edits. This skill codifies the expert-manager workflow for maintaining single-expert or multi-role expert packages.

How It Works

  • Interactive or source conversion: gathers missing details through questions, or extracts roles, SOPs, scripts, and templates from docs and prompts.
  • Display-field mapping: enforces rules for profession, displayName, expertType, categoryId, tags, and quickPrompts; tags and quickPrompts are fixed at 3.
  • Quality checkpoints: designs team SOPs with a plan-execute-integrate flow and checks for plan, draft, and final confirmation.
  • Engineering constraints: generates into the fixed expert directory, then initializes, validates, registers, and packages; plugin.json should include license, with a default yrns- packaging prefix.
  • Safe edits: backs up before modification, then reviews license, version bump, structure validation, and naming consistency.

Boundaries

Best for creating, converting, or updating WorkBuddy expert packages. Not for ordinary Skill creation, merely using existing experts, or renaming name / directory in place. Missing source details are flagged for user input rather than invented.

Use Cases

  • Product owners turn sales SOPs, scripts, and pricing templates into a reviewable WorkBuddy business expert.
  • Algorithm engineers build a Team expert with plan, execution, and integration SOPs for multi-role data analysis.
  • Engineering leads update an existing expert's plugin.json, tags, and Agent MD, then validate, register, and package it.
  • Operations staff inject customer profiles, metric definitions, and knowledge-base references into the expert package.

Best For

  • WorkBuddy expert authors who want to turn SOPs, role assignments, and prompts into reviewable packages.
  • AI application leads who need to maintain Team experts with clear lead, member roles, and confirmation checkpoints.
  • Engineering operations staff who split source material scripts, templates, and field specs into bin/, templates/, and references/.
  • Compliance reviewers who check license, tags, quickPrompts, and directory naming against release rules.