ai-native-product-skills

Multi-perspective AI council - get 3-5 expert viewpoints on any product question, with debate, a groupthink check, and synthesis. Use for strategic decisions, competitive analysis, feature prioritization, positioning, pricing - any JUDGMENT question where multiple lenses improve the outcome. NOT for settling a fact - a same-model panel converges and will confidently ratify a wrong one; send a single adversary with the data instead.

Coach a product leader through producing a 90-day team-transformation plan. Diagnoses current AI maturity from existing artifacts, frames the work by persona (Enterprise / Speed / Founder), forces commitment to a trojan horse + transformation metric + role-shift, and writes transformation-roadmap.md with explicit stage gates. Use after team-assess to convert assessment into action.

Apply Karpathy's autoresearch loop (goal + mechanical fitness + mutable surface + keep-or-revert iteration) to ANY measurable workflow - code, content, sales, research, design, operations, not just ML or software. Use when the user asks to set up an overnight improvement loop, a keep-or-revert experiment workflow, iterative optimization, or asks "can I autoresearch this?". Includes a pre-loop triage that refuses fat-tailed, reflexive, or slow-feedback problems without adapting the mode.

Autonomous prototype builder using the Generator-Evaluator loop. Builds any interactive prototype - pages, dashboards, flows, tools, visualizations - then autonomously improves it across multiple rounds via independent sub-agents. Based on Anthropic's harness architecture (March 2026).

Assess your product team's AI autonomy maturity across 6 dimensions with calibrated examples and generate a visual radar chart