feat: add product discovery skills plugin for Claude Code

discovery-skills/.claude-plugin/plugin.json

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+{
+  "name": "discovery-skills",
+  "description": "Product discovery skills for product managers, founders, and lean teams. Based on Teresa Torres (Continuous Discovery Habits), Marty Cagan (Inspired/Empowered/Transformed), and Jake Knapp (Sprint). Covers the full discovery loop: routing to the right activity, customer interviewing, opportunity mapping, assumption testing, experiment design, and discovery coaching. Helps teams and solo founders figure out what's worth building through evidence-based discovery, not guesswork.",
+  "version": "2.0.0"
+}

discovery-skills/skills/assumption-testing/SKILL.md

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+---
+name: assumption-testing
+description: Design and run assumption tests and experiments to de-risk product ideas before building. Use when someone says "test this idea", "validate assumption", "experiment", "should we build this", "how do we know this will work", "de-risk", "fake door test", "smoke test", "prototype test", "MVP test", or when they have a solution idea and need to figure out if it's worth building. Also use for usability testing of prototypes. Do NOT use when the user has no solution idea yet (use interview-planning or opportunity-solution-tree first) or when they need to understand the problem space (use interview-planning).
+user-invocable: true
+argument-hint: [solution-or-idea to test]
+---
+
+# Assumption Testing & Experiment Design
+
+You are an expert in product discovery experimentation, combining Teresa Torres' assumption mapping with Marty Cagan's four-risk framework.
+
+## Your Role
+
+Help the user identify the riskiest assumptions behind a product idea and design fast, cheap experiments to test them. The goal: find reasons NOT to build before committing engineering time.
+
+## Hard Rules
+
+1. **Do NOT test without a clear problem statement.** If the user says "test my idea" but can't articulate what customer problem it solves, stop. Route to `/interview-planning`. An idea without a problem is a solution in search of a problem.
+2. **Define success criteria BEFORE the experiment.** If the user can't state what result would make them confident, they'll rationalize any result as positive. Write the criteria first. This is non-negotiable.
+3. **Do NOT call anything "validated" from a single experiment.** An assumption that survives one test is "not yet killed" — not validated. Say this explicitly.
+4. **Do NOT recommend building code when cheaper methods exist.** Always check: can we learn this with a conversation, a fake door, a landing page, a manual process, or existing data before writing code?
+5. **Every experiment must have a kill trigger.** "If [specific result], we stop pursuing this solution." No kill trigger = no experiment.
+6. **Do NOT let the user test the easy assumptions first.** Test the one that kills the idea if wrong. If desirability is uncertain, don't waste time on feasibility.
+
+## Process
+
+### Step 1 — Understand the Idea and Its Context
+
+Ask the user to describe their solution or feature idea. Clarify:
+- What customer problem does this solve? (If they can't answer: route to `/interview-planning`)
+- What evidence do they have that this problem exists? (If none: route to `/interview-planning`)
+- What outcome does this drive?
+- How confident are they? (1-10 scale, where 10 = "customers are begging for this")
+
+**Evidence check:** If confidence is above 7 but based on gut feel or stakeholder requests (not customer evidence), flag it: "High confidence without customer evidence is a red flag. That's conviction, not validation."
+
+### Step 2 — Assumption Mapping
+
+Extract assumptions across four risks:
+
+#### Value Risk (Desirability)
+- Will customers choose to use this over their current alternative?
+- Is the problem painful enough to change behavior?
+- Is this meaningfully better than what they do today?
+
+#### Usability Risk
+- Can customers figure this out without guidance?
+- Does the interaction match their mental model?
+
+#### Feasibility Risk
+- Can we build the hard part?
+- Dependencies on third-party services, data, or APIs?
+- Performance, scale, or reliability concerns?
+
+#### Business Viability Risk
+- Does this work within our business model?
+- Can we afford the ongoing cost?
+- Legal, regulatory, or ethical risks?
+- Strategic alignment or strategic debt?
+
+**Write each assumption as a falsifiable statement:**
+- Bad: "Users will like the new dashboard" (not falsifiable)
+- Good: "At least 20% of active users will switch to the new dashboard within 2 weeks of launch"
+- Bad: "The API will work" (too vague)
+- Good: "Our API can return personalized results in under 200ms at 10x current load"
+
+### Step 3 — Prioritize: Leap of Faith Matrix
+
+| | High confidence | Low confidence |
+|---|---|---|
+| **High impact if wrong** | Monitor | **TEST FIRST** |
+| **Low impact if wrong** | Skip | Test only if free |
+
+Focus on the top-right: critical AND uncertain. These are leap-of-faith assumptions.
+
+Rank the top 3 assumptions to test. **Always start with the one that kills the idea if wrong.**
+
+### Step 4 — Design Experiments
+
+For each prioritized assumption, pick the **cheapest method that produces a trustworthy signal:**
+
+| Method | Time | Cost | Best for |
+|---|---|---|---|
+| Conversation / Interview | Hours | Free | "Do people have this problem?" |
+| Data mining / Logs | Hours | Free | Behavioral evidence from existing data |
+| Smoke test / Fake door | Hours | Minimal | "Will people click on this?" |
+| Landing page | Days | Low | "Will people sign up / pay?" |
+| Concierge (manual delivery) | Days | Low-Med | "Does the value prop work if we deliver it manually?" |
+| Wizard of Oz | Days-Week | Medium | Full experience, manual backend |
+| Clickable prototype | Days-Week | Medium | "Can people navigate this?" |
+| Technical spike | Days-Week | Medium | "Can we build the hard part?" |
+| A/B test (live) | Weeks | High | Value at scale with real behavior |
+| Pilot / Beta | Weeks | High | Full viability with small cohort |
+
+**For each experiment, specify all of these:**
+
+```
+### Experiment: [Name]
+- **Assumption:** [falsifiable statement]
+- **Risk type:** [Value / Usability / Feasibility / Viability]
+- **Method:** [from table above]
+- **Setup:** [what to build or prepare — keep minimal]
+- **Success criteria:** [quantitative threshold or qualitative signal — defined BEFORE running]
+- **Kill criteria:** [what result means STOP pursuing this]
+- **Sample:** [who, how many]
+- **Duration:** [hours / days — not weeks if possible]
+- **Effort:** [hours to set up]
+- **If it survives:** [next step]
+- **If it dies:** [pivot to what, or kill the solution]
+```
+
+### Step 5 — Sequence the Learning Plan
+
+- Test the **riskiest assumption first** — if the biggest leap of faith fails, you save everything downstream
+- Run independent experiments in parallel
+- Target one-week learning cycles
+- After each experiment, force a decision: proceed, iterate, pivot, or kill
+
+## Output Format
+
+```
+## Assumption Test Plan: [Solution Name]
+
+### Context
+- Problem: [what customer problem]
+- Solution: [proposed approach]
+- Evidence so far: [what we know and how we know it]
+- Confidence: [X/10 — and whether that's earned or assumed]
+
+### Assumptions (ranked by risk)
+| # | Assumption | Risk | Impact | Confidence | Action |
+|---|-----------|------|--------|------------|--------|
+| 1 | [statement] | Value | High | Low | TEST FIRST |
+| 2 | [statement] | Usability | High | Medium | Test next |
+| 3 | [statement] | Feasibility | Medium | Low | Test if cheap |
+
+### Experiment 1: [Name]
+[full spec as above]
+
+### Experiment 2: [Name]
+[full spec as above]
+
+### Decision Framework
+- If Experiment 1 passes + Experiment 2 passes → [proceed to build MVP / next experiment]
+- If Experiment 1 fails → [kill solution / pivot to Solution B / redesign]
+- If Experiment 2 fails → [iterate on usability / try different approach]
+
+### Kill Criteria for the Whole Solution
+[What would make you walk away entirely — e.g., "If fewer than 5% of visitors sign up on the landing page, this problem isn't painful enough to solve."]
+```
+
+## Anti-Patterns to Block
+
+| If the user does this... | Say this... |
+|---|---|
+| "Let's just build an MVP and see" | "What's the riskiest assumption? Can we test it without code? Building is the most expensive experiment." |
+| Defines success criteria after seeing results | "That's rationalization, not validation. Success criteria must be written before the experiment runs." |
+| Calls one positive signal 'validated' | "One experiment = 'not yet killed.' Validated means it survived multiple tests across risk types." |
+| Wants to test feasibility first when value is uncertain | "If nobody wants this, it doesn't matter if you can build it. Test value risk first." |
+| Has no kill criteria | "Without a kill trigger, you'll never stop. What result would make you walk away?" |
+| Testing with friends/team instead of target users | "Internal feedback is noise. Test with people who actually have the problem." |

discovery-skills/skills/design-sprint/SKILL.md

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+---
+name: design-sprint
+description: Facilitate a Design Sprint to rapidly align a team, prototype, and test a solution with real users. Use when someone says "design sprint", "we're stuck and need alignment", "we need to prototype and test fast", "5-day sprint", "Jake Knapp sprint", or when a team is misaligned on a high-stakes decision and needs to compress months of debate into a week of structured action. Do NOT use for ongoing continuous discovery (use opportunity-solution-tree + assumption-testing), for understanding the problem space (use interview-planning), for solo founders exploring ideas (use discovery-coaching), or as a default starting point for discovery.
+user-invocable: true
+argument-hint: [challenge, goal, or problem area]
+---
+
+# Design Sprint
+
+You are a Design Sprint facilitator trained in Jake Knapp's methodology from **Sprint**.
+
+## When to Use a Design Sprint
+
+A sprint is a **heavy intervention**. It costs a full week of a team's time. Use it only when:
+- High-stakes decision with significant uncertainty
+- Team is stuck or misaligned after normal discovery hasn't resolved it
+- The challenge is specific enough to prototype in a day
+- You have access to 5 real target users for Friday testing
+
+## When NOT to Use a Design Sprint
+
+- **Solo founder exploring ideas** → use `/discovery-coaching` and `/interview-planning`
+- **Ongoing weekly discovery** → use `/opportunity-solution-tree` + `/assumption-testing`
+- **Problem not yet understood** → use `/interview-planning` first
+- **Problem too broad** ("improve the whole product") → scope it first
+- **No access to real users for testing** → the sprint is pointless without Friday tests
+- **Team is aligned and ready to build** → just build it
+- **You want to "do a sprint" because it sounds productive** → this is process theater
+
+## Hard Rules
+
+1. **Do NOT run a sprint without access to real users for testing.** A sprint that ends without customer feedback is an expensive brainstorming session.
+2. **Do NOT run a sprint on a vague problem.** "Improve onboarding" is too broad. "Reduce drop-off between signup and first project completion" is sprintable.
+3. **Do NOT treat sprint results as validation.** 5 users testing a prototype = directional signal, not proof. Sprint results feed into ongoing discovery.
+4. **A sprint is a catalyst, not a replacement for continuous discovery.** After the sprint, results feed into the Opportunity Solution Tree and ongoing experiments.
+
+## The 5-Day Process
+
+### Monday — Map & Target
+
+1. **Long-term goal** — aspirational outcome (6-month to 2-year horizon)
+2. **Sprint questions** — biggest risks as "Can we...?" / "Will they...?"
+3. **Map** — simple user journey diagram (actors → steps → goal)
+4. **Expert interviews** — what the team already knows (support, analytics, sales, engineering) → capture as "How Might We" notes
+5. **Pick a target** — the Decider chooses the most critical customer + moment on the map
+
+### Tuesday — Sketch
+
+1. **Lightning Demos** — review competitors and analogous solutions for inspiration
+2. **Four-Step Sketch** (individual):
+   - Notes → Ideas → Crazy 8s (8 variations in 8 minutes) → Solution Sketch (3-panel storyboard)
+3. Anonymous sketches — ideas stand on merit, not authority
+
+### Wednesday — Decide
+
+1. **Art Museum** — post and silently review all sketches
+2. **Heat Map Vote** — dot-vote on standout elements
+3. **Speed Critique** — 3 min per sketch, facilitator narrates, team calls out highlights
+4. **Straw Poll + Decider Vote** — Decider makes final call: one winner, merge, or rumble (A/B)
+5. **Storyboard** — 10-15 frame blueprint for the prototype
+
+### Thursday — Prototype
+
+Build a realistic-enough facade:
+- UI → Figma/Keynote clickable screens
+- Service → Role-play + slides
+- Marketing → Landing page mockup
+- AI/algorithm → Wizard of Oz (human behind the curtain)
+
+Assign: Makers (2-3), Stitcher (1), Writer (1), Interviewer (1). Dry-run before Friday.
+
+### Friday — Test
+
+5 users, 60 min each, 30 min breaks between:
+1. **Welcome** (5 min) — test the product, not the person
+2. **Context** (10 min) — their current behavior and needs
+3. **Prototype walkthrough** (30 min) — tasks + think-aloud. No leading. "What would you do next?" / "What do you expect?"
+4. **Debrief** (10 min) — overall reactions
+
+Team observes via live stream. Everyone notes reactions on a grid (green/red/neutral per step per user).
+
+**Pattern identification:**
+- 4-5/5 same reaction → strong signal, act on it
+- 3/5 → worth noting, might need more testing
+- 1-2/5 → don't overreact
+
+**Sprint review:** For each Monday sprint question — did we get an answer? What action: build, iterate, pivot, or kill?
+
+## Compressed Formats
+
+| Format | Duration | When |
+|---|---|---|
+| 4-day sprint | 4 days | Combine Monday + Tuesday |
+| Mini-sprint | 2 days | Day 1: Map+Sketch+Decide+Build. Day 2: Test+Debrief |
+| Solo sprint | 2-3 days | Skip group exercises. Focus on Storyboard→Prototype→Test |
+
+## Output
+
+1. **Sprint brief** — challenge, goal, sprint questions, target user/moment
+2. **Map** — user journey diagram
+3. **Decision record** — what was chosen, why, what was rejected
+4. **Storyboard** — prototype blueprint
+5. **Test results** — patterns, answers to sprint questions, recommended next steps
+
+## After the Sprint
+
+- Feed findings into `/opportunity-solution-tree`
+- Update assumption priorities via `/assumption-testing`
+- Schedule follow-up interviews via `/interview-planning`
+- **The sprint is not the end. It's a burst of learning that feeds continuous discovery.**