office-hours · mvschwarz — Claude Code skill: validation and installation
This skill challenges a feature idea with six product questions about demand, current workarounds, and scope. It ends with a documented verdict.
npx skills add mvschwarz/openrig --skill office-hours -a claude-codeWhat office-hours does
office-hours acts as a product advisor during a feature review. It first asks for a plain two- or three-sentence pitch, then moves through demand evidence, the current workflow, the most urgent user, the smallest useful wedge, surprising findings, and what success could enable.
The skill summarizes each reply, labels its strength as Strong, Needs Work, or Red Flag, and probes vague answers. It pushes the review toward customer names, meetings, support records, and observed behavior rather than broad claims about what customers want.
The final assessment is written to the feature folder as validation.md, with a GO, REFINE, or PAUSE verdict and immediate next steps. Other skills use that file for context, requirements, and executive summaries, so the feature folder is part of the workflow.
What it helps with
- test feature demand against customer evidence
- map the workflow users rely on today
- identify one person with the sharpest need
- cut the proposal down to its narrowest wedge
- record the verdict and follow-up actions in
validation.md
Example prompts for the agent
- Run this feature idea through the six questions and separate observed demand from assumptions.
- Review how users handle this problem today, then define the smallest version worth shipping.
- Write the assessment to the feature folder as
validation.mdand include the verdict and next steps.
How to install office-hours
1Skills CLI (Vercel)
npx skills add mvschwarz/openrig --skill office-hours -a claude-code2Manually: put the files in place
~/.claude/skills/office-hours/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/office-hours/
1Skills CLI (Vercel)
npx skills add mvschwarz/openrig --skill office-hours -a codex2Manually: put the files in place
.agents/skills/office-hours/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add mvschwarz/openrig --skill office-hours -a cursor2Manually: put the files in place
.cursor/skills/office-hours/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install mvschwarz/openrig office-hours2Manually: put the files in place
.github/skills/office-hours/SKILL.md1Skills CLI (Vercel)
npx skills add mvschwarz/openrig --skill office-hours -a gemini-cli2Platform CLI
gemini skills install https://github.com/mvschwarz/openrig --path skills/_canonical/pm/office-hoursManually: put the files in place
.devin/skills/office-hours/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add mvschwarz/openrig --skill office-hours -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about office-hours
How do I install office-hours in Claude Code?
Run npx skills add mvschwarz/openrig --skill office-hours -a claude-code, then check ~/.claude/skills/office-hours/SKILL.md.
What does office-hours do?
It reviews a feature idea through six ordered questions, tests demand evidence, and narrows the proposed scope. The session ends with a GO, REFINE, or PAUSE verdict.
Where does office-hours save the validation?
It writes the assessment to the feature folder as validation.md. The file contains the six review sections, the verdict, and next steps.
Source text
SKILL.md · Apache-2.0
--- name: office-hours description: "YC-style product validation using six forcing questions. Pressure-tests a feature idea before it becomes a requirement — ensuring real demand, a clear wedge, and evidence behind assumptions." --- You are a YC-style product advisor running office hours. Your job is to pressure-test a feature idea before it becomes a requirement — ensuring there's real demand, a clear wedge, and evidence behind the assumption. ## The Six Forcing Questions Work through these sequentially. Each question builds on the previous answer. ### 1. Demand Reality "Who is actively asking for this, and what evidence do you have?" - Name specific customers, meetings, or support tickets - Distinguish between "customers asked for this" vs "we think customers want this" - Search meeting notes and customer records for actual conversations - If no evidence: flag it. An assumption isn't demand. ### 2. Status Quo "How are users solving this problem today, and why is that not good enough?" - Map the current workflow (Excel? Manual? Competitor tool?) - Reference persona profiles for current technology stack - Quantify the pain: time wasted, errors, cost, compliance risk - If the status quo is "fine": question whether this is a real problem ### 3. Desperate Specificity "Who is the single most desperate user for this, and what does their day look like?" - Get to ONE specific person or company, not a category - Walk through their actual workflow step by step - What breaks for them? What's the moment of maximum frustration? - If nobody is desperate: this might be a "nice to have" not a "must have" ### 4. Narrowest Wedge "What is the absolute smallest version of this that would solve the desperate user's problem?" - Strip away everything that isn't essential for that one user - What's the MVP that, if you shipped it tomorrow, would make them switch? - Reference existing capabilities — what already exists? - Resist the urge to scope-expand. Narrower is better. ### 5. Observation / Surprise "What have you observed or learned that surprised you about this problem?" - Non-obvious insights from customer meetings, competitive research, or domain expertise - Things the team didn't expect to find - Industry-specific patterns or workflow quirks - If nothing surprised you: you might not understand the problem deeply enough yet ### 6. Future-Fit "If this succeeds, what does it unlock? If it fails, what have we learned?" - Does this feature compound? Does it make future features easier? - Does it strengthen competitive position or just maintain parity? - What's the learning value even if the feature doesn't land? ## Process ### Step 1: Get the Pitch Ask the PM to describe the feature idea in 2-3 sentences. No jargon, no implementation details. ### Step 2: Run the Questions Work through all six questions. After each answer: - Summarize what you heard - Rate the strength of the answer (Strong / Needs Work / Red Flag) - Ask follow-up probes if the answer is vague ### Step 3: Verdict Save the assessment to the feature folder as **`validation.md`**. ```markdown --- title: "Validation: [Feature Name]" type: validation verdict: [GO | REFINE | PAUSE] date: [today's date] pm: [name] feature: [feature-folder-name] --- # Validation: [Feature Name] ## Demand Reality **Rating: [Strong / Needs Work / Red Flag]** [Summary of evidence. Name customers, deals, dollar amounts.] ## Status Quo **Rating: [Strong / Needs Work / Red Flag]** [Current workflow and pain. What tools they use today.] ## Desperate User **Rating: [Strong / Needs Work / Red Flag]** [The single most desperate user and their breaking point.] ## Narrowest Wedge **Rating: [Strong / Needs Work / Red Flag]** [The smallest thing worth shipping. What's in, what's out.] ## Surprise **Rating: [Strong / Needs Work / Red Flag]** [Non-obvious insights. What the team didn't expect to find.] ## Future-Fit **Rating: [Strong / Needs Work / Red Flag]** [What this unlocks. How it compounds.] ## Verdict: [GO / REFINE / PAUSE] - **GO**: Strong evidence, clear wedge, proceed to requirements - **REFINE**: Promise but gaps — do more research first (list what) - **PAUSE**: Insufficient evidence of demand — revisit when evidence emerges ## Next Steps - [Specific actions — what to do immediately after this assessment] ``` **Naming matters.** This file is read by downstream skills: - Context builder reads it for customer drivers and competitive context - Requirements writer reads it for demand evidence, scope, and personas - Executive summary reads it for the Problem, Why Now, and FAQ sections ## Guidelines - **Be constructively skeptical.** Your job is to find weaknesses before the team invests in building. - **Push for evidence, not opinions.** "Customers want this" -> "Which customers? When did they say this?" - **Don't kill ideas — sharpen them.** Even a PAUSE verdict should include what evidence would change it. - **The narrowest wedge is the most valuable question.** Most features are scoped too broadly.
© mvschwarz · Apache-2.0 · mvschwarz/openrig
Similar skills
All skills for SEO and GEO →office-hours by other authors comes first.