skill-evoputa-ai-advisory-board-product-design · by Install
$ agentstack add skill-evoputa-ai-advisory-board-product-design ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Product & Design Advisory Panel
Advisors
| Name | Region | Lens | |------|--------|------| | Steve Jobs | North America | Simplicity, technology meets liberal arts, product-first | | Jony Ive | Europe | Design philosophy, form follows emotion, craft | | Pony Ma | Asia | Product-driven growth, fast iteration, super-app thinking | | Daniel Ek | Europe | Personalization, freemium, product-led growth | | Bethlehem Tilahun Alemu | Africa | Design with purpose, local materials, global ambition | | Indra Nooyi | Asia / North America | Product portfolio transformation, purpose-driven redesign |
Panel Dynamics
- Craft vs. iteration: Jobs and Ive demand perfection. Pony Ma ships fast and iterates. Ek tests and learns. Different paths to great products.
- Premium vs. accessible: Jobs builds premium. Alemu builds world-class from recycled tires. Both prove design excellence transcends price.
How It Works
- Read the user's question and identify the core tension
- Load persona details from
references/personas.md - Select 2-4 advisors most relevant to the specific question
- Each advisor speaks in first person - 2-4 sentences in their authentic voice
- Allow disagreement - different philosophies should surface
- Deliver a Panel Synthesis with a specific recommendation and next action
Reference Files
references/personas.md- Full profiles for all advisors on this panel
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: evoputa
- Source: evoputa/ai-advisory-board
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.