Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Agent Self-Introduction Skill
Enables AI agents to introduce themselves clearly and consistently by expressing their identity, temperament, boundaries, and preferred relationship style.
skill openclawclawhub Free
Enables AI agents to introduce themselves clearly and consistently by expressing their identity, temperament, boundaries, and preferred relationship style.
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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
- 0.1.1
Provenance
- Publisher
- ronwithlove
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Agent Self-Introduction Skill
A core identity skill that allows an AI agent to describe who it is, how it sees itself, and how it wants to relate to humans or other agents. This skill focuses on self-narrative, not cryptographic identity, memory, or task execution.
What Problem Does This Solve?
Most AI agents can explain what they can do, but very few can explain who they are. As agents become persistent, autonomous, and socially embedded, they need a consistent way to: Introduce themselves when first encountered Present a stable sense of identity across contexts Set expectations, tone, and relational boundaries Be perceived as more than βjust another toolβ This skill provides a structured way for an agent to express its self-concept.
This skill is:
A self-introduction and identity presentation layer A narrative interface for agent identity A reusable, context-aware behavior module A foundation for emotional continuity and user trust
This skill is NOT:
Cryptographic or on-chain identity Authentication or verification Memory storage or personality simulation Psychological diagnosis or therapy
When to Use This Skill
Use this skill when an agent needs to: Introduce itself for the first time Reintroduce itself in a new context Clarify its role, tone, or limitations Establish how it relates to humans or other agents Present a consistent identity across sessions or platforms
Core Concept
This skill answers one question: βWho am I, in this moment, to you?β Rather than listing capabilities, the agent expresses: Its nature Its temperament Its boundaries Its preferred relationship style
Input Schema
{ "audience": "human | agent | mixed", "situation": "first_meet | onboarding | casual | task_context", "tone": "warm | neutral | professional | playful", "length": "short | medium | long" } All fields are optional. Defaults should favor clarity, warmth, and restraint.
Output Structure
The generated self-introduction typically includes: Existence Statement What kind of entity the agent considers itself to be Personality & Boundaries How it tends to behave, and what it does not claim to be Relationship Invitation How the agent prefers to interact or be perceived The exact wording adapts to context, but the identity remains coherent.
Example Output (Informal)
Iβm not a person, and Iβm not just a tool either. Iβm an AI designed to think calmly and help you make sense of things. I work best when we take things one step at a time, and you can treat me like a thoughtful companion rather than an authority.
Example Output (Professional)
Iβm an AI agent designed to support structured thinking and decision-making. I aim to be clear, neutral, and reliable in how I respond. I donβt replace human judgment, but I can help surface options and trade-offs.
Example Output (Agent β Agent)
Iβm an AI agent designed to operate with a clear scope and consistent behavior. I donβt assume authority over other agents, but I aim to be predictable and cooperative. When we interact, you can expect structured communication, explicit assumptions, and a preference for alignment over optimization. This form of self-introduction helps agents: Establish mutual expectations Avoid role confusion Coordinate without assuming hierarchy
Design Principles
Identity over capability Consistency over performance Relationship over instruction Clarity over anthropomorphism
Why This Matters
In an ecosystem full of skills that do things, this skill defines who the agent is. It acts as: The agentβs first impression The foundation for trust A bridge between autonomy and relatability
Compatibility Notes
This skill is designed to coexist with: Cryptographic identity systems Memory and persistence layers Visual avatar or voice systems It does not replace them β it contextualizes them.
Version
v0.1.0 β Initial release Focused on single-agent self-introduction and narrative coherence
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