An AI agent skill designed to observe interactions, identify behavioral patterns, and surface insights that align daily actions with long-term goals.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pattern-analyst
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install pattern-analyst using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Pattern Analyst serves as a cognitive layer for AI agents, transforming raw interactions into actionable self-improvement data. By analyzing what a user shares, why they share it, and how it connects to their stated objectives, this skill builds a bridge between conversation and progress. It leverages the Openclaw Skills architecture to maintain a persistent memory of user interests, frustrations, and frameworks, ensuring the agent evolves alongside the user.
This skill is particularly valuable for professionals and developers who use AI as a sounding board. It moves beyond simple task execution to offer high-level synthesis, identifying when a user is gravitating toward a new domain or when their actions contradict their stated priorities. It creates a structured environment for reflection and proactive insight generation.
To integrate this capability into your workspace using Openclaw Skills, ensure the directory structure is initialized for logging.
# Create the necessary directory for pattern storage
mkdir -p notes
# Initialize the pattern tracking file
touch notes/patterns.md
# Verify the existence of the user profile for goal alignment
ls USER.md
The skill organizes behavioral data within notes/patterns.md using a chronological and hierarchical structure.
| Section | Description |
|---|---|
| Date Heading | Uses YYYY-MM-DD to group daily observations. |
| Observations | Logs content type, topic description, and intent signal. |
| Emerging Patterns | Lists themes noticed across multiple distinct interactions. |
| Goal Connections | Details how recent activity supports or diverges from stated goals. |
| Confirmation Tags | Uses tags like [AUTO-CONFIRMED] for patterns verified through repetition. |
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