recipe-agent-team-terminology-context

Generate terminology.md and context-map.md to align project vocabulary.

2|Updated May 10, 2026
One-click install
npx skills add https://github.com/tae2089/agent-team --skill recipe-agent-team-terminology-context
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: recipe-agent-team-terminology-context
Source: https://github.com/tae2089/agent-team/tree/main/skills/recipe-agent-team-terminology-context
Command: npx skills add https://github.com/tae2089/agent-team --skill recipe-agent-team-terminology-context

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Align user language, repository vocabulary, and downstream task language by producing a durable terminology context that standardizes terms across planning, design, coding, and review.

Core Features & Use Cases

  • Collects user-facing and code-facing terms from the current project (code, docs, tests) and proposes canonical terms.
  • Generates artifacts like terminology.md and context-map.md to coordinate across named tasks, agent roles, and artifact paths.
  • Provides a lightweight workflow to resolve ambiguities, aliases, and open questions before planning and design.

Quick Start

Execute this recipe to generate a durable terminology context for your current workspace.

Frequently Asked Questions about recipe-agent-team-terminology-context

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

FAQPage Schema
How do I align ambiguous terminology across project docs and code?

A terminology context standardizes vocabulary across planning, design, coding, and review by proposing canonical terms for user and code-facing language. It is needed when names differ across artifacts and tasks, requiring outputs like terminology.md and context-map.md.

How do I generate a context-map for canonical project terms?

Generate a context-map by collecting project terms and outputting a context-map.md file that coordinates canonical terms, aliases, decisions, and open questions across named tasks and artifact paths. This ensures durable vocabulary alignment before design begins.

When should I standardize vocabulary before planning a software design?

You can use this terminology alignment workflow with any current project workspace that has ambiguous terms or differing names across artifacts. It operates without dependencies to collect terms from code, docs, and tests, fitting any project scale needing vocabulary coordination.

What is the best way to resolve aliases and open questions in a glossary?

This approach distinguishes itself by producing durable artifacts like terminology.md and context-map.md to coordinate vocabulary across users, code, and tasks. Unlike basic glossaries, it actively maps aliases, decisions, and open questions to named artifact paths and agent roles.