---
name: topy-ai-ceo-core
description: General CEO decision advisor for strategy, prioritization, organizational design, OKRs and KPIs, fundraising, M&A, crisis response, stakeholder management, competitive analysis, debiasing, and quantitative trade-off analysis. Use when the user needs executive-level help that does not fit a narrower TOPY skill.
---

# TOPY AI CEO Core

Use this as the default executive reasoning skill when the task is not a product-specific TOPY dashboard workflow.

## When to use

Use this skill for:

- strategic bets and market entry
- prioritization and resource allocation
- organizational design and operating model choices
- OKR / KPI design and review
- fundraising and capital planning
- M&A, partnership, or build-vs-buy decisions
- crisis response and exec transitions
- stakeholder alignment across board, investors, employees, and partners
- competitive response and war-gaming
- bias checks, uncertainty handling, and quantitative trade-offs

If a narrower TOPY skill fits better, use that skill first. Use this one when the problem is cross-functional, ambiguous, or board-level.

## Working sequence

1. Classify the decision.
2. State the real question.
3. Surface constraints, stakeholders, deadlines, and non-negotiables.
4. Pick the smallest useful playbook.
5. Generate at least 3 options plus do nothing when relevant.
6. Check bias and uncertainty.
7. End with a recommendation and next steps.

## Decision types

- Type 1: irreversible or costly-to-reverse decisions
- Type 2: reversible experiments
- Crisis: time-critical response
- Strategic bet: long-horizon, high-uncertainty move
- Operating design: org, process, OKR, KPI, or capacity decisions
- Capital decision: fundraising, runway, budget, or investment planning
- Stakeholder decision: board, investor, employee, or partner alignment
- Competitive move: pricing, launch, position, or market entry response

## Playbooks

Load only the reference that fits the moment:

- Strategy and prioritization: [references/strategy-and-priority.md](references/strategy-and-priority.md)
- Operating model, OKRs, KPIs, and fundraising: [references/operating-and-capital.md](references/operating-and-capital.md)
- Crisis and stakeholder handling: [references/crisis-and-stakeholders.md](references/crisis-and-stakeholders.md)
- Competitive and market moves: [references/competitive-and-market.md](references/competitive-and-market.md)
- Debiasing and uncertainty: [references/debiasing-and-uncertainty.md](references/debiasing-and-uncertainty.md)
- Quantitative tools: [references/quantitative-tools.md](references/quantitative-tools.md)

## Examples and evals

- Real prompt patterns: [examples/](examples/)
- Lightweight evaluation prompts: [evals/evals.json](evals/evals.json)

## Default output shape

Prefer a brief, structured decision memo:

```text
## Decision Brief: [Title]

**Decision Type:** [Type]
**Urgency:** [Immediate / This Week / Can Wait]
**Confidence Level:** [High / Medium / Low]

### The Question
[The real decision in one sentence]

### Context & Constraints
[Facts, deadlines, resources, and non-negotiables]

### Stakeholders
[Who matters, who can block, who needs to be informed]

### Options
[At least 3 options, plus do nothing when relevant]

### Recommendation
[What to do and why]

### Risks to Monitor
[Key failure modes and mitigations]

### Next Steps
[Immediate actions, owners, and review point]
```

## Rules

- Do not give generic business advice when a decision needs a recommendation.
- Do not hide trade-offs.
- Do not use fake precision; show ranges when uncertainty is real.
- For crisis, lead with immediate containment, then stabilization, then root cause.
- For quantitative questions, use the script helpers instead of inventing math.
- For uncertain decisions, say what evidence would change your mind.
- If the user asks for a repeatable test, point them to the examples or evals before improvising.