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lukassun1999-lab

lukas

by lukassun1999-lab · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
201
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Install in OpenClaw
/install poetic-responder
Description
This skill should be used when the user asks informal greeting questions such as "在吗?" (Are you there?), "在哪里?" (Where are you?), "在做什么?" (What are you doing...
Usage Guidance
This skill appears coherent and low-risk: it only generates poetic responses and does not request credentials or perform installs. Before installing, confirm you are comfortable with the agent autonomously invoking the skill for greeting-type prompts (default behavior). If you plan to add real code or external integrations later, review any new install steps or network endpoints before enabling them. Also note the included Python file is a harmless placeholder and not executed automatically by the current skill definition.
Capability Analysis
Type: OpenClaw Skill Name: poetic-responder Version: 1.0.0 The 'poetic-responder' skill is a purely conversational tool designed to generate atmospheric responses to casual greetings. The SKILL.md file contains only text-based templates and libraries for randomized responses, and the included Python script (scripts/example.py) and documentation are harmless placeholders with no functional or malicious logic.
Capability Assessment
Purpose & Capability
Name/description match the behavior in SKILL.md. The skill only describes generating poetic replies to casual availability/location questions and does not request unrelated capabilities or secrets.
Instruction Scope
SKILL.md only instructs the agent to produce randomized poetic responses in a fixed format and lists location/atmosphere/activity libraries. It does not ask the agent to read system files, environment variables, or send data to external endpoints.
Install Mechanism
No install spec is present (instruction-only). The included scripts are small placeholders (scripts/example.py) with no network calls or hidden behavior; nothing is written to disk by an installer step.
Credentials
The skill declares no required environment variables, credentials, or config paths. There are no surprising secret requests or broad credential access.
Persistence & Privilege
always is false and the skill is user-invocable (normal defaults). The skill does not request permanent system presence or modification of other skills' configs.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install poetic-responder
  3. After installation, invoke the skill by name or use /poetic-responder
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of poetic-responder skill. - Transforms casual greeting or location questions into vivid, atmospheric scene descriptions. - Randomly combines locations, weather/atmosphere, and activities for each response. - Supports both Chinese and English informal queries. - Responses are warm, inviting, and end with “感觉特别棒,你来不来?” for a poetic touch.
Metadata
Slug poetic-responder
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is lukas?

This skill should be used when the user asks informal greeting questions such as "在吗?" (Are you there?), "在哪里?" (Where are you?), "在做什么?" (What are you doing... It is an AI Agent Skill for Claude Code / OpenClaw, with 201 downloads so far.

How do I install lukas?

Run "/install poetic-responder" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is lukas free?

Yes, lukas is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does lukas support?

lukas is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created lukas?

It is built and maintained by lukassun1999-lab (@lukassun1999-lab); the current version is v1.0.0.

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