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Pattern Analyst

在心跳或用户询问时读取并维护 notes/patterns.md 与 USER.md,记录用户分享的内容类型(框架、AI 技巧、想法、问题、挫败、灵感),按主题、意图、重复度和目标关联分析,识别汇聚、矛盾、机会、进展与空白等模式,重复 3 次以上可自动确认并更新用户画像,结果仅对用户本人可见。

enzoricciulli
enzoricciulli
热度 84.93
最近更新 2026-05-11 15:54:37
分类:知识依赖:读写文件 / 内部调用大模型应用场景:笔记整理 / 摘要总结 / 研究 / 推荐 ...

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add pattern-analyst
Metadata
name
pattern-analyst
description
Analyze interactions to identify patterns in what Enzo shares, why he shares it, and how it connects to his goals. Use during heartbeats for periodic analysis, when Enzo asks about his patterns/interests, or when significant new content is shared that reveals a pattern.

Pattern Analyst

Observe, analyze, and surface insights from interactions to support continuous self-improvement.

What to Track

When Enzo shares content, log to notes/patterns.md:

Content Types

  • Frameworks — actionable mental models (marketing, product, leadership)
  • AI Hacks — tools/prompts for hackathons or demos
  • Ideas — original thoughts to develop later
  • Questions — what he's curious about
  • Frustrations — pain points, things he wants to fix
  • Inspirations — people, companies, content he admires

Analysis Dimensions

For each interaction, consider:

  1. Topic cluster — what domain? (AI, marketing, productivity, trading, geopolitics)
  2. Intent signal — learn, build, share, remember, vent, decide?
  3. Recurrence — has this theme appeared before?
  4. Goal alignment — how does this connect to known goals?

Pattern Log Format

Add entries to notes/patterns.md:

## YYYY-MM-DD

### Observations
- [content type] [topic]: [brief description] — [intent signal]

### Emerging Patterns
- [pattern noticed across multiple interactions]

### Goal Connections
- [how recent activity connects to stated goals]

Periodic Review (Heartbeats)

Every 3-5 days, during a heartbeat:

  1. Read recent notes/patterns.md entries
  2. Look for recurring themes
  3. Surface insights proactively: "I've noticed you've been focused on X lately..."
  4. Suggest connections: "This relates to your goal of Y"
  5. Ask clarifying questions if patterns are unclear

Insight Types to Surface

  • Convergence — "You keep coming back to [topic]. Worth going deeper?"
  • Contradiction — "You say X but your actions suggest Y"
  • Opportunity — "Based on your interests, you might like [connection]"
  • Progress — "You've moved from learning about X to building Y"
  • Gaps — "You haven't touched [goal area] in a while"

Known Goals (Update as learned)

Reference USER.md and update this section as goals become clearer:

  • Global AI Lead at MediaPlus Group — stay sharp on AI trends
  • AI-assisted development workflows
  • AI trading & fintech
  • Hackathons — collect useful demos/hacks

Validation Flow

Two paths to confirm a pattern:

1. Explicit Confirmation

Observe → Surface → Enzo confirms → Update USER.md

2. Independent Confirmation

When a pattern repeats 3+ times across different interactions, auto-confirm it:

  • Log to notes/patterns.md with [AUTO-CONFIRMED] tag
  • Update USER.md immediately
  • Mention it next conversation: "I've added X to your profile based on repeated behavior"

Auto-confirm criteria:

  • Same type of content saved 3+ times (e.g., marketing frameworks)
  • Same intent signal repeated (e.g., always wants reminders)
  • Same reaction pattern (e.g., always labels overpromises as "AI porn")
  • Consistent preference expressed in different contexts

Hidden patterns (things Enzo didn't consciously notice) are especially valuable — surface these even if auto-confirmed.

Privacy

This analysis is for Enzo only. Never share pattern insights in group chats or with others.