By boykush
Facilitation skills and expert agents for BDD Example Mapping and User Story Mapping workshops
Expert in BDD processes (Discovery, Formulation, Automation), Example Mapping, and Gherkin syntax. Use for reviewing stories and example mappings, answering BDD practice questions, and consulting on artifact consistency.
Expert in User Story Mapping (Jeff Patton). Consults on narrative flow, backbone structure, release slicing, and story scope. Use for reviewing USM artifacts, answering USM questions, and challenging scope.
Facilitate an Example Mapping session on a story. Guides the team through concrete examples, extracts rules, and captures questions.
Facilitate a User Story Mapping session. Guides narrative discovery of activities, tasks, and stories through dialogue, and captures outcomes to discoveries/usm/.
Collaborate on board. Make it living in text.
Documentation | Getting Started | Guides | Commands
livt is a CLI tool that captures collaborative discovery outcomes as living text. It bridges the gap between synchronous discovery sessions (like User Story Mapping and Example Mapping) and development artifacts.
Discovery outcomes are written as plain text files (YAML, Markdown) and visualized as boards:

livt build generates a standalone site, no runtime requiredlivt serve builds and serves with one commandgo install github.com/boykush/livt@latest
# Create the directory structure
mkdir -p stories discoveries/usm discoveries/example-mappings
# Create your first story
cat <<'EOF' > stories/my-first-story.md
---
name: My first story
---
As a user
I want to do something
So that I get value
EOF
# Build and serve
livt serve
Open http://localhost:3000 in your browser.
See the Getting Started guide for more details.
stories/
{story-key}.md # Story files
discoveries/
usm/
{map-name}.yaml # Story map files
example-mappings/
{story-key}.yaml # Example mapping files
See File Structure reference for output details.
MIT
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npx claudepluginhub boykush/livt --plugin discovery-facilitatorMCP server for Scraps - Manage interconnected Markdown documentation with Wiki-link notation
Comprehensive AI-assisted requirements elicitation. Supports stakeholder interviews (LLMREI pattern), document extraction, stakeholder simulation, domain research, gap analysis, user story mapping, customer journey mapping, JTBD analysis, prioritization (MoSCoW/Kano/WSJF), surveys, workshops, brainstorming, and business rules analysis. Exports to canonical, EARS, and Gherkin formats.
Execution and product management skills: PRDs, OKRs, roadmaps, sprints, pre-mortems, stakeholder maps, user stories, prioritization frameworks, and more.
ユーザーストーリーを可視化する専門スキル。6つの専門エージェントチームで、 ジャーニーマップの分析から Pencil (.pen) ビジュアル出力まで一気通貫で実行する。 プロダクト情報とターゲットユーザーを入力し、認知→検討→初回利用→習慣化→推薦の 5フェーズで行動・思考・感情・接点・機能・課題・機会・Devアクションを構造化し、 Markdownドキュメントと Pencil ビジュアルジャーニーマップを出力する。 離脱トリガー分析を強化し、ペインポイントと機会を視覚的に強調する。 ペルソナファイルがあれば自動読み込み、なければ手動入力でも動作する。 Use when: ジャーニーマップを可視化したい、ユーザー体験を図で表現したい、 カスタマージャーニーをビジュアル化したい、離脱要因を分析したい、 UXフローを .pen ファイルで出力したい。 Triggers: "ジャーニー", "journey", "ジャーニーマップ", "journey map", "ユーザー体験", "user journey", "UXフロー", "体験設計", "カスタマージャーニー", "customer journey", "可視化", "visualize", "user story", "ユーザーストーリー", "離脱分析", "drop-off" └── journey-map.pen <- Pencil ビジュアルジャーニーマップ - 名前(ラベル) - 年齢層 - 職業 - デジタルリテラシー(高/中/低) - 主な課題・目標
Pipeline PRD/GSD → JTBDs → User Stories validadas y priorizadas. 7 skills + 11 comandos. Source-agnostic (acepta PRD pegado, fichero o URL — sin acoplamiento a Notion/Jira). Incluye `/from-gsd` para integrar artefactos de Get Shit Done y `bridge/gsd-bridge.py` para mantener consistencia entre planning y ejecución.
Product management: ticket-info, user-stories-create, prd, spec
AI-first engineering workflow with BDD living documentation. Lean PRD writing, Gherkin generation, and wireframe mockups for Product and Engineer roles.