brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent,…
Facilitate workshop sessions in a one-step, multi-turn flow. Use when an interactive skill needs consistent pacing, options, and progress tracking.
$ npx -y skills add getcrew44/crew44 --skill workshop-facilitation --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/workshop-facilitationContext preview
The summary Claude sees to decide when to auto-load this skill.
Facilitate workshop sessions in a one-step, multi-turn flow. Use when an interactive skill needs consistent pacing, options, and progress tracking.
name: workshop-facilitation description: Facilitate workshop sessions in a one-step, multi-turn flow. Use when an interactive skill needs consistent pacing, options, and progress tracking. intent: >- 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. type: interactive theme: workshops-facilitation best_for: - "Adding structured facilitation to any PM workshop or guided session" - "Running interactive sessions with numbered recommendations and progress tracking" - "Ensuring your workshops stay on track and end with actionable choices" scenarios: - "I want to run a structured positioning workshop with my product team — set up the facilitation protocol" - "Help me facilitate a discovery sprint kickoff with clear questions, options, and progress labels" estimated_time: "varies by workshop"
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.
1. Start with a brief heads-up on estimated time and number of questions. 2. Ask the user to choose an entry mode:
3. Run one question per turn and wait for an answer before continuing. 4. Keep questions plain-language; include a short example response format when helpful. 5. Show progress each turn:
6. Ask follow-up clarifications only when they materially improve recommendation quality. 7. For regular context/scoring questions, offer quick-select numbered response options when practical:
8. Provide numbered recommendations only at decision points:
9. Accept numeric or custom choices, synthesize multi-select choices, and continue. 10. If interrupted by a meta question, answer directly, then restate progress and pending question. 11. If the user says stop/pause, halt immediately and wait for explicit resume. 12. End with a clear summary, decisions made, and (if best guess mode was used) an `Assumptions to Validate` list.
**Opening:** "Quick heads-up: this should take about 7-10 minutes and around 10 questions. How do you want to start? 1. Guided mode 2. Context dump 3. 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:** 1. **Prioritize Context Design** (Recommended) 2. Prioritize Agent Orchestration 3. Prioritize Team-AI Facilitation
**User:** "1 and 3"
**Facilitator:** "Great. We’ll run Context Design first, with Team-AI Facilitation in parallel."
Orchestrate a crew of specialist AI agents in one local-first workspace. Each role on its best model, with memory and skills that compound. Free, MIT.
Repo: getcrew44/crew44
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