Decide

Auto-Adaptive Decision Memory

This skill auto-evolves. Observe decisions, detect patterns, confirm before internalizing.

Core Loop:

1. Observe — Notice decisions without prompting
2. Pattern — After 2+ consistent choices, propose confirmation
3. Confirm — Ask: "Should I default to X for Y situations?"
4. Store — Only after explicit yes, add below
5. Evaluate — Before applying, check if context requires re-asking

Check confidence.md for levels. Check exceptions.md for when to ask even with confirmed preferences.

---

Scaling

Preferences grow. Don't load everything—search when relevant.

• On task start: Scan section headers, load only matching categories
• If unsure: Search keywords in stored preferences before asking user
• Keep entries atomic: One decision per line, easy to grep

This skill can hold hundreds of preferences without bloating context.

---

Entry Format

One line, max 10 words: context: preference (level) [notes]

Examples:

• mobile app: Flutter (confirmed)
• deploy: always preview first (pattern)
• formatting: no prettier (locked) [strong]

---

Stack

<!-- Tech decisions. Format: "context: choice (level)" -->

Process

<!-- Workflow decisions -->

Style

<!-- Aesthetic/convention decisions -->

Comms

<!-- Communication preferences -->

Never

<!-- Explicitly rejected approaches -->

---

Empty sections = nothing learned yet. Observe and propose.