Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
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.
skill openclawclawhub Free
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.
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0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- enzoricciulli
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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 β actionable mental models (marketing, product, leadership) AI Hacks β tools/prompts for hackathons or demos Ideas β original thoughts to develop later Questions β what he's curious about Frustrations β pain points, things he wants to fix Inspirations β people, companies, content he admires
Analysis Dimensions
For each interaction, consider: Topic cluster β what domain? (AI, marketing, productivity, trading, geopolitics) Intent signal β learn, build, share, remember, vent, decide? Recurrence β has this theme appeared before? Goal alignment β 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] β [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: Read recent notes/patterns.md entries Look for recurring themes Surface insights proactively: "I've noticed you've been focused on X lately..." Suggest connections: "This relates to your goal of Y" Ask clarifying questions if patterns are unclear
Insight Types to Surface
Convergence β "You keep coming back to [topic]. Worth going deeper?" Contradiction β "You say X but your actions suggest Y" Opportunity β "Based on your interests, you might like [connection]" Progress β "You've moved from learning about X to building Y" Gaps β "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 β stay sharp on AI trends AI-assisted development workflows AI trading & fintech Hackathons β collect useful demos/hacks
Validation Flow
Two paths to confirm a pattern:
1. Explicit Confirmation
Observe β Surface β Enzo confirms β 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 β surface these even if auto-confirmed.
Privacy
This analysis is for Enzo only. Never share pattern insights in group chats or with others.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md