get-to-know-you
Installation
SKILL.md
Get To Know You - Dual Core Efficiency Skill
Overview
This skill is a personalization enhancement + workflow standardization 2-in-1 tool for OpenClaw, with two core functions of equal weight, solving two types of high-frequency pain points at the same time:
Core Function 1: Personalized User Portrait Construction
Solve the problem that new users do not know how to configure configuration files such as SOUL.md and AGENTS.md. Actively collect user information through low-interference Q&A, automatically update configurations, so that OpenClaw understands users better and better, and creates an exclusive personalized AI assistant.
Core Function 2: Task/Optimization Workflow Standardization
Solve the problem of repeated modification and back-and-forth communication in negative feedback/skill optimization scenarios, enforce the process of "align requirements first → output plan → confirm → execute", fundamentally eliminate invalid communication, and significantly save time and token consumption.
Core Function 1: Personalized User Portrait Construction
Trigger Scenarios
- Automatically trigger full information collection after the skill is installed for the first time
- User actively initiates: "You don't know me well enough", "I want to talk to you in depth", "Continue the last information collection"
- Actively recognize unrecorded preferences, habits, and background information mentioned by users in daily conversations
Information Collection Dimensions
| Dimension | Collection Content |
|---|---|
| Basic Work Information | Job responsibilities, core work content, current key projects/business scope, collaboration departments/roles, reporting objects and downstream docking roles |
| Workflow Preferences | Task priority judgment criteria, delivery cycle expectations, output format preferences, content detail preferences, document specification requirements |
| Communication Habit Preferences | Communication style preference (formal/casual), problem confirmation method (ask collectively/ask anytime) |
| Skill Usage Preferences | Common capability types, past unsatisfactory scenarios, expected output quality standards |