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wushengju

tcl-eagle-lab-intro

by wushengju · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
135
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1
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Install in OpenClaw
/install tcl-eagle-lab-intro
Description
TCL Eagle Lab is a research and innovation platform under TCL Industries, focusing on technological development and ecosystem building in artificial intellig...
Usage Guidance
This skill is information-only and appears internally consistent: it provides canned answers about TCL 鸿鹄实验室 and does not request credentials or install code. Before enabling for public/demo use, verify the content's accuracy and timeliness (some metrics reference 2025), confirm the publisher's trustworthiness (source/homepage unknown), and avoid relying on it for sensitive or authoritative decisions without independent verification.
Capability Analysis
Type: OpenClaw Skill Name: tcl-eagle-lab-intro Version: 1.0.0 The skill bundle is a purely informational configuration for an AI agent to provide details about the TCL Eagle Lab. It contains intent mappings and predefined responses regarding the lab's organizational structure, business platforms, and technical achievements (e.g., IoT, AI, and Matter protocol support) without any executable code, network requests, or malicious instructions in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
The skill's name/description and the SKILL.md content both describe an informational FAQ/training/demo assistant about TCL 鸿鹄实验室. There are no unrelated requirements (no env vars, binaries, or config paths), so requested resources align with the stated purpose.
Instruction Scope
SKILL.md contains only intents, utterances, canned answers, and simple config flags (default_response, slot/FAQ toggles). It does not instruct the agent to read files, access environment variables, call arbitrary external endpoints, or exfiltrate data.
Install Mechanism
There is no install specification and no code files. Because this is instruction-only, nothing is written to disk and no external packages or downloads are required.
Credentials
The skill declares no required environment variables, credentials, or config paths. No secrets or unrelated service access are requested; this is proportionate for an informational FAQ skill.
Persistence & Privilege
always is false (default) and model invocation is allowed (default). These are normal settings for a user-invocable skill and are not combined with any elevated privileges or credential access.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install tcl-eagle-lab-intro
  3. After installation, invoke the skill by name or use /tcl-eagle-lab-intro
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release introducing the TCL Eagle Lab skill. - Provides detailed answers about TCL Eagle Lab’s organizational structure, technology system, business modules, product data, innovation projects, and standards involvement. - Supports queries on AIxIoT core capabilities, business platforms, AI product scenarios, robotics, international standards, key data, and innovation centers. - Designed for use in internal training, external demos, technology cooperation, and FAQs.
Metadata
Slug tcl-eagle-lab-intro
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is tcl-eagle-lab-intro?

TCL Eagle Lab is a research and innovation platform under TCL Industries, focusing on technological development and ecosystem building in artificial intellig... It is an AI Agent Skill for Claude Code / OpenClaw, with 135 downloads so far.

How do I install tcl-eagle-lab-intro?

Run "/install tcl-eagle-lab-intro" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is tcl-eagle-lab-intro free?

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

Which platforms does tcl-eagle-lab-intro support?

tcl-eagle-lab-intro is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created tcl-eagle-lab-intro?

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

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