一键导入
customer-discovery
Plan customer discovery — define target profile, build prospect list, draft interview script, set up outreach + scheduling logistics.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Plan customer discovery — define target profile, build prospect list, draft interview script, set up outreach + scheduling logistics.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Slice a goal into the smallest feature slices that can each be PROVEN — every slice ships with a named eval and an end-to-end test, and a slice you can't evaluate or test doesn't get selected. Use after the goal is set and before the spec, so only provable features make the build.
Guided, stateful provisioning of a product's production stack — deep-links, key-format validation, a secrets backend (fnox recommended, or user-touched .env.local), a resumable ledger, CLI automation after signup, and a blocking A1–A10 live gate. Hands off to /security-check → /ship. The walked version of SETUP.md.
Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when requirements are unclear, ambiguous, or only exist as a vague idea.
Launch the factory's control plane — scaffold and fill FACTORY-ORDERS (weekly mandate + hard budget), STANDING-ORDERS (autonomous-program authority), HEARTBEAT (weekly pulse), and write lifecycle gates for every registered product. A deliberate one-time ritual (re-run to audit); invoke as /factory-launch, not auto-triggered.
One-shot a new product — folders, Next.js starter, product.config.json, CLAUDE.md, scope.md, PRD skeleton, SETUP.md checklist. The Lovable-like ignition.
Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels too large to start, when you need to estimate scope, or when parallel work is possible.
| name | customer-discovery |
| description | Plan customer discovery — define target profile, build prospect list, draft interview script, set up outreach + scheduling logistics. |
| model_tier | sonnet |
User has a sharpened problem hypothesis and is ready to talk to humans. They ask: "how do I find people to interview?", "help me plan customer discovery for X", "draft outreach for Y".
A discovery plan saved to products/<name>/interviews/discovery-plan.md:
## Discovery Plan — <product/idea>
### Target profile (be precise)
- Role / title: <specific>
- Company / context: <specific>
- Team size: <range>
- Seniority: <IC / manager / VP / C-suite>
- Acuteness signal: <how to tell they have this problem badly>
### Where they congregate (top 5 reachable channels)
1. <community / forum / LinkedIn group / Slack workspace> — URL
2. ...
### Prospect list strategy
- How to source: <Apollo / LinkedIn Sales Nav / scrape X / cold from Reddit threads>
- Initial batch size: 50–80
- Outreach format: <DM / email / cold call / community post>
### Interview script (15-min default)
1. **Warm-up** (2 min): "Tell me about your role and a typical week."
2. **Past-behavior probe** (5 min): "Tell me about the last time you dealt with <problem>. Walk me through it."
3. **Current solution** (3 min): "What did you try? What worked? What didn't?"
4. **Workaround cost** (2 min): "How much time/money does this currently cost you?"
5. **Magic wand** (2 min): "If you could wave a wand, how would this look?"
6. **Close** (1 min): "Who else has this problem? Mind connecting me?"
### Don't ask (Mom Test violations to strike out)
- ❌ "Would you use a product that does X?"
- ❌ "Would you pay $Y for this?"
- ❌ "Do you think this is a good idea?"
- All future-hypothetical questions.
### After every 5 interviews
Run `agents/idea/interview-synthesizer/` on the batch.
problem-sharpener output (or ask user for it).factory/playbooks/idea-stage/mom-test.md.products/<name>/interviews/outreach-templates.md.Per factory/playbooks/mvp-stage/agent-handoff-contracts.md:
problem-sharpener — never build a discovery plan on a vague hypothesis; a precise plan for an imprecise problem just finds the wrong people faster.products/<name>/interviews/discovery-plan.md (+ optional outreach-templates.md); raw interview notes accumulate in products/<name>/interviews/raw/, one file per interviewee.factory/playbooks/idea-stage/mom-test.mdfactory/playbooks/launch-stage/cold-outreach-templates.md (just the structure)