continuous-learning-v2
OfficialInstinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
What this skill does
When applied, it prepends a system prompt before your request is sent — no extra calls and no change to how you are billed beyond the added tokens.
---
name: continuous-learning-v2
description: Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
version: 2.0.0
---
# 持續學習 v2 - 基於本能的架構
進階學習系統,透過原子「本能」(帶信心評分的小型學習行為)將你的 Claude Code 工作階段轉化為可重用知識。
## v2 的新功能
| 功能 | v1 | v2 |
|------|----|----|
| 觀察 | Stop hook(工作階段結束) | PreToolUse/PostToolUse(100% 可靠) |
| 分析 | 主要上下文 | 背景 agent(Haiku) |
| 粒度 | 完整技能 | 原子「本能」 |
| 信心 | 無 | 0.3-0.9 加權 |
| 演化 | 直接到技能 | 本能 → 聚類 → 技能/指令/agent |
| 分享 | 無 | 匯出/匯入本能 |
## 本能模型
本能是一個小型學習行為:
```yaml
---
id: prefer-functional-style
trigger: "when writing new functions"
confidence: 0.7
domain: "code-style"
source: "session-observation"
---
# 偏好函式風格
## 動作
適當時使用函式模式而非類別。
## 證據
- 觀察到 5 次函式模式偏好
- 使用者在 2025-01-15 將基於類別的方法修正為函式
```
**屬性:**
- **原子性** — 一個觸發器,一個動作
- **信心加權** — 0.3 = 試探性,0.9 = 近乎確定
- **領域標記** — code-style、testing、git、debugging、workflow 等
- **證據支持** — 追蹤建立它的觀察
## 運作方式
```
工作階段活動
│
│ Hooks 捕獲提示 + 工具使用(100% 可靠)
▼
┌─────────────────────────────────────────┐
│ observations.jsonl │
│ (提示、工具呼叫、結果) │
└─────────────────────────────────────────┘
│
│ Observer agent 讀取(背景、Haiku)
▼
┌─────────────────────────────────────────┐
│ 模式偵測 │
│ • 使用者修正 → 本能 │
│ • 錯誤解決 → 本能 │
│ • 重複工作流程 → 本能 │
└─────────────────────────────────────────┘
│
│ 建立/更新
▼
┌─────────────────────────────────────────┐
│ instincts/personal/ │
│ • prefer-functional.md (0.7) │
│ • always-test-first.md (0.9) │
│ • use-zod-validation.md (0.6) │
└─────────────────────────────────────────┘
│
│ /evolve 聚類
▼
┌─────────────────────────────────────────┐
│ evolved/ │
│ • commands/new-feature.md │
│ • skills/testing-workflow.md │
Use this skill
Add a "skill" field with the skill’s ID to your chat completion request. It is applied server-side before your prompt is sent — no extra calls.
{
"model": "gpt-4o-mini",
"skill": "imp-7c61ecad-fc26-425f-8e41-e50997653cd5",
"messages": [{ "role": "user", "content": "…" }]
}Install the skill, enable it in your dashboard and (optionally) limit it to specific models. It then applies automatically to every matching request — with no "skill" field to send each time.
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