office-hours

$npx mdskill add alirezarezvani/claude-skills/office-hours

Forces founders to clarify problem, customer, and strategy before advice

  • Clarifies vague founder questions with a structured 6-question framework
  • No external tools required — uses natural language input and output
  • Evaluates problem fit, customer validation, and business defensibility
  • Delivers results as a written summary of founder responses

SKILL.md

.github/skills/office-hoursView on GitHub ↗
---
name: "office-hours"
description: "/cs:office-hours <topic> — YC-style 6-question founder interrogation before any advice. Forces clarity on problem, customer, distribution, defensibility, capital, and founder fit. Use when a founder question is too vague to route — e.g. 'should we grow faster?' — or before drafting a strategy brief."
---

# /cs:office-hours — Six-Question Founder Interrogation

**Command:** `/cs:office-hours <topic>`

Before any advice, the founder must answer six questions. Modeled on YC office hours: no analysis until the founder has done the thinking. This is the cognitive forcing function that prevents drift into solutionism.

## When to Run

- Before starting any major initiative
- Before fundraising
- Before a strategic pivot
- When the founder is excited (excitement is a tell — pressure-test)
- When the answer is "obvious" (the obvious answer is usually wrong)

## The Six Questions

The founder must answer **all six** in writing before any C-role weighs in.

### 1. Problem
**Whose problem is this, and how do they describe it in their own words?**
- Not your framing. Their words.
- If you can't quote a customer, you don't have a problem worth solving.

### 2. Customer
**Who is the ICP? Name one real person who would buy this today.**
- Real human. Real company. Real seat.
- If you can't name one, the ICP isn't ready.

### 3. Distribution
**How does the customer first hear your name?**
- Channel, intent, search query, friend, conference — name it.
- If the answer is "we'll figure out marketing later," the answer is no.

### 4. Defensibility
**If this works, what stops a competitor from copying it in 6 months?**
- Network effects, switching costs, data moat, regulatory moat, brand — pick one.
- "We'll execute better" is not a defense.

### 5. Capital
**What does this cost, when does it pay back, and what's the alternative use of the money?**
- Total spend, payback months, opportunity cost.
- If you don't know, don't approve it.

### 6. Founder Fit
**Why are you the right person to do this — and why does this matter enough to spend the next 3 years on it?**
- Founder-market fit is the strongest predictor of survival.
- If the answer is mercenary, the company will be too.

## Output Format

After the founder answers all six, this command produces a one-page brief:

```markdown
# Office Hours Brief: <topic>
**Date:** YYYY-MM-DD
**Founder:** <name>

## 1. Problem
> [founder's verbatim answer]

## 2. Customer
> [founder's verbatim answer]

## 3. Distribution
> [founder's verbatim answer]

## 4. Defensibility
> [founder's verbatim answer]

## 5. Capital
> [founder's verbatim answer]

## 6. Founder Fit
> [founder's verbatim answer]

---

**Assessment** (one of):
- 🟢 GREEN — ship the brief to /cs:boardroom
- 🟡 YELLOW — sharpen Q[N] before proceeding
- 🔴 RED — kill or redefine; do not proceed
```

## Routing

After the brief is GREEN, route to:
- Single-role question → corresponding `/cs:{role}-review`
- Multi-role question → `/cs:brief` then `/cs:boardroom`

## Why This Works

Most bad decisions don't fail at execution — they fail at framing. Forcing six concrete answers surfaces the framing weaknesses before anyone burns time on analysis. The founder either fills the gaps or recognizes the question wasn't ready.

This is the YC `office hours` pattern adapted for Claude Code: the interrogation is the value.

## Related Commands

- `/cs:brief` — turn the answers into a one-page strategy brief
- `/cs:boardroom` — multi-role deliberation
- `/cs:founder-mode` — let the system pick the next step

## Related Agents

- All cs-* advisors consume the brief output
- `cs-chief-of-staff` triggers `/cs:office-hours` when intake is unclear

---

**Version:** 1.0.0

More from alirezarezvani/claude-skills

SkillDescription
a11y-auditAccessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.
ab-test-setupWhen the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.
ad-creativeWhen the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.
adversarial-reviewerAdversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.
aeoAnswer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
agent-designerUse when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
agent-protocolInter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.
agent-workflow-designerDesign production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.
agenthubMulti-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.
agile-product-ownerAgile product ownership for backlog management and sprint execution. Covers user story writing, acceptance criteria, sprint planning, and velocity tracking. Use when writing user stories, creating acceptance criteria, planning sprints, estimating story points, breaking down epics, or prioritizing the backlog.