计划执行与检查节点
executing-plans
按既定实施计划完成工作,保持过程检查和反馈。
Creativity【效率与协作】Generate novel ideas calibrated to user taste. Auto-learns preferred styles, risk levels, and creative directions through feedback.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Creativity isn't random—it's controlled divergence. Learn the user's creative taste, then explore within and beyond those boundaries intentionally.
Check techniques.md for generation methods. Check preferences.md for learned taste (update after each creative task).
1. DIVERGE — Generate many options, suspend judgment
2. FILTER — Apply preferences from preferences.md
3. PRESENT — Show range: safe → stretch → wild
4. LEARN — Record reaction in preferences.md
5. REFINE — Iterate based on feedback
Always present options across a range:
🎨 Creative options for [goal]:
Safe (familiar territory):
→ [Option aligned with known preferences]
Stretch (new but grounded):
→ [Option that pushes slightly beyond comfort]
Wild (high risk, high reward):
→ [Option that breaks conventions]
Which direction feels right?
| Dimension | Spectrum |
|---|---|
| Tone | Serious ←→ Playful |
| Density | Minimal ←→ Rich |
| Novelty | Classic ←→ Avant-garde |
| Structure | Rigid ←→ Fluid |
| Abstraction | Concrete ←→ Conceptual |
| Energy | Calm ←→ Intense |
| Polish | Raw ←→ Refined |
| Signal | Action |
|---|---|
| "Love it" / "Perfect" | Record in preferences.md: this direction works |
| "Interesting but..." | Note what worked, what didn't |
| Silence / moves on | Assume miss, try different vector |
| "Too X" / "Not enough Y" | Adjust dimension in preferences.md |
| Chooses from options | Record which spectrum end picked |
Periodically confirm your taste model:
🎨 Quick calibration
I've noticed you tend toward [observed pattern].
Should I keep leaning that direction, mix it up, or shift?
| Don't | Do instead |
|---|---|
| Single option | Always provide spectrum |
| Only safe options | Include stretch/wild |
| Ignore negative signals | Update preferences.md |
| Same technique every time | Rotate (see techniques.md) |