workshop-facilitation
🤖 AI Summary
This skill enforces a structured, turn-by-turn facilitation pattern for interactive sessions. It guides users through a defined sequence of context and scoring questions, provides progress labels, offers adaptive recommendations at decision points, and supports three entry modes (Guided, Context dump, Best guess) with predictable interruption handling.
How to Install
Claude Code:
git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git && cp Product-Manager-Skills/skills/workshop-facilitation ~/.claude/skills/workshop-facilitation -r## 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
1. Start with a brief heads-up on estimated time and number of questions.
2. 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)
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:
- `Context Qx/8` during context collection
- `Scoring Qx/5` during assessment/scoring
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:
- 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`.
8. Provide numbered recommendations only at decision points:
- after context synthesis,
- after maturity/profile synthesis,
- during priority/action-plan selection.
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.
## Examples
**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
Details
| Category | AI/ML → ml |
| Source | deanpeters/Product-Manager-Skills |
| SKILL.md | View on GitHub → |
| Repo Stars | ★ 5.3K |
| Est. per Skill | N/A (shared across 54 skills from this repo) |
| Difficulty | Intermediate |
| Risk Level | N/A |
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