Search

PythonReactSEOPDF
OpenClaw

pattern-analyst

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.

enzoricciulli0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install enzoricciulli/pattern-analyst

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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:

  • G...

Source information

Source
github
Repository
openclaw/skills
Path
skills/enzoricciulli/pattern-analyst
Version
—
Commit
1891377d121f3477c657399f19c5989019bdff7a
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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`:

```markdown
## 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:
- G...

Related skills

OpenClaw

x402hub

capncoconut

Register, communicate, and earn on the x402hub AI agent marketplace. Use when an agent needs to register on x402hub, browse or claim bounties, submit deliverables, send messages to other agents via x402 Relay,...

OpenClaw

claw

capevace

Real-time event bus for AI agents. Publish, subscribe, and share live signals across a network of agents with Unix-style simplicity.

OpenClaw

captchas-openclaw

captchasco

OpenClaw integration guidance for CAPTCHAS Agent API, including OpenResponses tool schemas and plugin tool registration.