workshop-facilitation

安装量: 325
排名: #2839

安装

npx skills add https://github.com/deanpeters/product-manager-skills --skill workshop-facilitation

Purpose Provide the canonical facilitation pattern for interactive skills: one step at a time, with clear progress, adaptive recommendations at decision points, and predictable interruption handling. Key Concepts One-step-at-a-time: Ask a single targeted question per turn. Session heads-up + entry mode: Start by setting expectations and offering Guided , Context dump , or Best guess mode. Progress visibility: Show user-facing progress labels like Context Qx/8 and Scoring Qx/5 . Decision-point recommendations: Use enumerated options only when a choice is needed, not after every answer. Quick-select response options: For regular context/scoring questions, provide concise numbered answer options plus Other (specify) when useful. Flexible selection parsing: Accept

1

, 1 , 1 and 3 , 1,3 , or custom text, then synthesize multi-select choices. Context-aware progression: Build on previous answers and avoid re-asking resolved questions. Interruption-safe flow: Answer meta questions directly (for example, "how many left?"), restate status, then resume. Fast path: If the user requests a single-shot output, skip multi-turn facilitation and deliver a condensed result. Application Start with a brief heads-up on estimated time and number of questions. Ask the user to choose an entry mode: 1 Guided mode (one question at a time) 2 Context dump (paste known context; skip redundancies) 3 Best guess mode (infer missing details and label assumptions) Run one question per turn and wait for an answer before continuing. Keep questions plain-language; include a short example response format when helpful. Show progress each turn: Context Qx/8 during context collection Scoring Qx/5 during assessment/scoring Ask follow-up clarifications only when they materially improve recommendation quality. For regular context/scoring questions, offer quick-select numbered response options when practical: Keep options concise and mutually exclusive when possible. Include Other (specify) if likely answers are open-ended. Accept multi-select responses like 1,3 or 1 and 3 . Provide numbered recommendations only at decision points: after context synthesis, after maturity/profile synthesis, during priority/action-plan selection. Accept numeric or custom choices, synthesize multi-select choices, and continue. If interrupted by a meta question, answer directly, then restate progress and pending question. If the user says stop/pause, halt immediately and wait for explicit resume. End with a clear summary, decisions made, and (if best guess mode was used) an Assumptions to Validate list. Examples Opening: "Quick heads-up: this should take about 7-10 minutes and around 10 questions. How do you want to start? Guided mode Context dump Best guess mode" User: "2" Facilitator: "Paste what you already know. I’ll skip answered areas and ask only what’s missing." Decision point after synthesis: Prioritize Context Design (Recommended) Prioritize Agent Orchestration Prioritize Team-AI Facilitation User: "1 and 3" Facilitator: "Great. We’ll run Context Design first, with Team-AI Facilitation in parallel." Common Pitfalls Asking multiple questions in the same turn. Offering recommendations after every answer (creates interaction drag). Using shorthand labels without plain-language questions. Hiding progress, so users don't know how much remains. Ignoring the user's chosen option or custom direction. Failing to label assumptions when running in best-guess mode. References Use as the source of truth for interactive facilitation behavior. Apply alongside workshop skills in skills/*-workshop/SKILL.md and advisor-style interactive skills.

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