pivot-enginelisted

<!-- version: 0.5.0 | outputs: memory/ideas/<slug>/pivot_options.json + memory/ideas/<slug>/pivot_report.md --> # Skill: pivot-engine ## Purpose When an idea scores poorly in one or more dimensions, generate concrete pivot options rather than abandoning the idea entirely. A pivot is a deliberate change in **one variable** to improve the weakest dimension — not a complete restart. The best pivots preserve what's already strong while fixing what's broken, and they're grounded in real market signals, not wishful thinking. ## Input - Idea slug - `memory/ideas/<slug>/scores.json` (current scores — required) - `memory/ideas/<slug>/weaknesses.json` (weak dimensions with root causes — required in standard mode, optional in micro mode) - `memory/ideas/<slug>/idea.md` (current concept, `business_model`) - `memory/ideas/<slug>/competitors.json` (positioning gaps, competitor complaints) - `memory/ideas/<slug>/distribution.json` (current channel assessment) - `memory/ideas/<slug>/pricing.json` (current pricing model and WTP) - `memory/ideas/<slug>/retention.json` (current retention assessment) - `memory/user_profile.md` (ICP tier, budget, time, distribution advantages) - `memory/market_insights/<niche>-*-<YYYY>-<MM>.md` (trend data — **use all available platform files**) ### Using Market Insights Market insights are essential for generating pivots grounded in real demand rather than theory. Extract: | Field | How it informs pivots | |---|---| | `top_signals` | Identify adjacent ni