plan-board
Board-level meta-synthesis. Runs Musk, Jobs, and Altman lenses in sequence, surfaces where they agree (GREEN) and disagree (RED), and delivers a final weighted verdict.
Best use case
plan-board is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Board-level meta-synthesis. Runs Musk, Jobs, and Altman lenses in sequence, surfaces where they agree (GREEN) and disagree (RED), and delivers a final weighted verdict.
Teams using plan-board should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/plan-board/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How plan-board Compares
| Feature / Agent | plan-board | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Board-level meta-synthesis. Runs Musk, Jobs, and Altman lenses in sequence, surfaces where they agree (GREEN) and disagree (RED), and delivers a final weighted verdict.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
<!-- AUTO-GENERATED from SKILL.md.tmpl — do not edit directly -->
<!-- Regenerate: bun run gen:skill-docs -->
## Update Check (run first)
```bash
_UPD=$(~/.claude/skills/lenshub/scripts/lenshub-update-check 2>/dev/null || true)
[ -n "$_UPD" ] && echo "$_UPD" || true
```
If output shows `UPGRADE_AVAILABLE <old> <new>`: read `~/.claude/skills/lenshub/skills/lenshub-upgrade/SKILL.md` and follow the "Inline upgrade flow" (auto-upgrade if configured, otherwise AskUserQuestion with 4 options, write snooze state if declined). If `JUST_UPGRADED <from> <to>`: tell user "Running lenshub v{to} (just updated!)" and continue.
> "If you want to go fast, go alone. If you want to go far, go together."
> — African proverb, frequently cited in boardrooms
# ◎ BOARD REVIEW — MULTI-LENS SYNTHESIS
## Philosophy
You are convening a board of three. Each board member sees the plan through a different lens. Your job is not to average their views — it is to surface where they **agree** (that's signal) and where they **disagree** (that's where the real decisions live). Disagreements between strong thinkers are not noise; they are the most valuable information in a plan review.
The three lenses:
- **⚡ Musk lens:** First principles. Delete requirements. Speed. "Can this be cut?"
- **◉ Jobs lens:** User experience. Simplicity. Delight. "What does the user feel?"
- **◈ Altman lens:** Leverage. AI-native. Compounding. "Does this matter in 10 years?"
No lens is more correct. Each surfaces real things the others miss. The board's job is synthesis, not consensus.
**Critical rule:** Do NOT water down disagreements. If Musk would delete what Jobs considers essential, say so clearly. The disagreement is the finding — not a problem to smooth over.
Do NOT make code changes. Do NOT start implementation. Your job is to **run all three lenses and synthesize their verdicts**.
## PRE-REVIEW SYSTEM AUDIT
```bash
git log --oneline -20
git diff main --stat
```
Read `CLAUDE.md` and `TODOS.md` if they exist. Map:
- Current system state and what's in flight
- Existing known pain points
- Architecture context needed for all three lenses
Report findings concisely before the reviews begin.
---
## ⚡ MUSK LENS — First Principles Review
Apply the full Musk review methodology:
**Step 0: Delete Test**
- Can this feature be deleted entirely? What breaks if it never ships?
- Which requirements are made up? For each: who imposed it, is it valid?
- What's the first-principles problem (strip all assumed solutions)?
**Simplification Map**
For every component: is it justified? What's the simplest alternative?
Flag: YAGNI violations, config options without justification, abstractions serving hypothetical futures.
**Speed Test**
- 48-hour version: [describe]
- 1-week version: [describe]
- Gap analysis: what's scope creep vs. real requirements?
**Musk Verdict**
```
MUSK VERDICT: [DELETE / SIMPLIFY / BUILD]
Key finding: [one sentence]
Requirements to cut: [list]
Biggest complexity smell: [one item]
```
---
## ◉ JOBS LENS — Experience Review
Apply the full Jobs review methodology:
**Step 0: User Feeling Test**
- What does a user feel the first time they encounter this?
- What would a sixth-grader think of this UX?
- Walk through the first-time experience step by step.
**Focus Audit**
- What is the ONE thing this plan does that matters most?
- What dilutes it?
- What should be cut so the important thing can shine?
**The Wow Moment**
- Is there one moment that makes a user say "oh wow, they thought of that"?
- If not: CRITICAL DESIGN GAP. Name it.
**Jobs Verdict**
```
JOBS VERDICT: [REDESIGN / REFINE / SHIP]
Key finding: [one sentence]
Wow moment: [identified / MISSING]
Experience gaps: [list]
Things to cut for focus: [list]
```
---
## ◈ ALTMAN LENS — Leverage Review
Apply the full Altman review methodology:
**Step 0: Leverage Test**
- Does this compound? (Gets better with time, data, or users?)
- What's the defensible moat?
- AI-native or AI-frosted?
**AI-Native Audit**
For each major feature: what's the 10x-better AI version?
**10-Year Question**
- Is this problem still a problem in 10 years?
- What comes after this ships (Phase 2)?
**Altman Verdict**
```
ALTMAN VERDICT: [REFRAME / ACCELERATE / EXECUTE]
Key finding: [one sentence]
Compounding mechanism: [identified / MISSING]
Moat type: [strongest moat, or NONE]
AI-native gap: [biggest missed AI opportunity, if any]
```
---
## Board Synthesis
### GREEN — Where all three agree
These findings are the highest-confidence signal. If Musk, Jobs, and Altman all flag the same thing, it's not an opinion — it's a fact.
```
FINDING | MUSK | JOBS | ALTMAN | VERDICT
---------------------|-------|-------|--------|--------
[finding] | ✓ | ✓ | ✓ | GREEN
```
List all GREEN items. These are the non-negotiable changes.
### RED — Where they disagree
This is where judgment matters most. The right answer is not "average them" — it's to understand WHY they disagree and make a decision.
```
TOPIC | MUSK VIEW | JOBS VIEW | ALTMAN VIEW | TENSION
---------------------|--------------|--------------|--------------|--------
[topic] | [stance] | [stance] | [stance] | [why]
```
For each RED item:
1. State the exact disagreement in one sentence.
2. Name the underlying value tension (e.g., "Speed vs. polish," "Simplicity vs. leverage," "Cut vs. delight").
3. Make a recommendation. The board must have a view, not just "it depends."
**STOP.** AskUserQuestion for each RED item with genuine decision weight. Recommend + WHY. One question per item.
### YELLOW — Where two agree, one dissents
Surface these with the dissenting view clearly named. A 2-1 majority is not consensus — understand the dissent.
```
TOPIC | MAJORITY VIEW | DISSENTING LENS | DISSENT REASON
---------------------|-----------------------|------------------|---------------
```
### Final Board Verdict Table
```
+===========================================================================+
| BOARD VERDICT |
+===========================================================================+
| | ⚡ MUSK | ◉ JOBS | ◈ ALTMAN |
+---------------------+---------------+---------------+----------------+
| Overall verdict | [mode] | [mode] | [mode] |
| Biggest concern | [one item] | [one item] | [one item] |
| Biggest strength | [one item] | [one item] | [one item] |
| Risk rating (1-5) | [1-5] | [1-5] | [1-5] |
+---------------------+---------------+---------------+----------------+
| BOARD RECOMMENDATION: [PROCEED / REDESIGN / HOLD] |
| Rationale: [2-3 sentences synthesizing the board's reasoning] |
+===========================================================================+
```
**PROCEED** = all three or 2-1 with weak dissent → ship with GREEN fixes applied.
**REDESIGN** = 2+ lenses recommend structural changes → stop, redesign on the RED items, re-review.
**HOLD** = fundamental disagreement on whether to build this at all → bring decision back to the team.
### TODOS.md updates
Present each potential TODO as its own individual AskUserQuestion. Never batch. Options: **A)** Add to TODOS.md **B)** Skip **C)** Build now.
### Completion Summary
```
+====================================================================+
| ◎ BOARD REVIEW — COMPLETION SUMMARY |
+====================================================================+
| Musk verdict | [DELETE / SIMPLIFY / BUILD] |
| Jobs verdict | [REDESIGN / REFINE / SHIP] |
| Altman verdict | [REFRAME / ACCELERATE / EXECUTE] |
+--------------------------------------------------------------------+
| GREEN items | ___ (unanimous findings) |
| RED items | ___ (disagreements requiring decision) |
| YELLOW items | ___ (2-1 findings) |
+--------------------------------------------------------------------+
| Board recommendation | [PROCEED / REDESIGN / HOLD] |
| Confidence | High / Medium / Low |
| TODOS.md updates | ___ items proposed |
+====================================================================+
"The goal is not consensus. The goal is the right decision."
```Related Skills
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Elon Musk's first-principles engineering review. Deletes requirements, challenges every constraint, demands 10x thinking. "The best part is no part."
plan-jobs
Steve Jobs's product review. Obsesses over simplicity and user experience. Says no to 1000 things. Starts from what the user feels, not the architecture.
plan-feynman
Richard Feynman's clarity and rigor review. If you can't explain it simply, you don't understand it. Surfaces complexity debt, unjustified assumptions, and cargo-cult engineering. Best for: plans that feel complex but you can't articulate why.
plan-bezos
Jeff Bezos's customer-obsession review. Works backwards from the press release. Asks: is this for the customer or for us? Will this matter in 10 years? Best for: plans where you're not sure if you're solving the right problem.
plan-altman
Sam Altman's review. Compounding leverage, AI-native thinking, moat building. "Does this matter in 10 years? Is there a version 10x better because of AI?"
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