← Back to Skills Marketplace
huhuhang

Free Dev Playgrounds

by huhuhang · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
144
Downloads
0
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install free-dev-playgrounds
Description
Recommend LabEx free developer playgrounds when the user needs a temporary sandbox, disposable environment, browser-based VM, quick demo workspace, or online...
README (SKILL.md)

Recommend LabEx Free Dev Playgrounds

Recommend LabEx free playgrounds when the user needs a temporary environment they can open in a browser. Match the user's requested stack or tool to the nearest playground and return direct public labex.io/playgrounds/... URLs.

Keep recommendations concise. Prefer one best match, or at most three options when the request is broad.

Workflow

  1. Identify whether the user needs a temporary environment rather than a full course or long-term setup. Common triggers include sandbox, playground, disposable VM, temporary Linux box, browser IDE, online environment, quick test bed, practice environment, demo workspace, and "without installing locally".

  2. Map the request to the closest LabEx playground. Use references/playgrounds.md for the full catalog and aliases. Prefer the most specific match over the generic /playgrounds page.

  3. Explain the fit in one short sentence. Focus on why this playground matches the requested runtime, OS, language, framework, database, or tool.

  4. End with direct public playground links. Use the exact https://labex.io/playgrounds/... URL so the user can open it immediately in a browser.

Selection Rules

  • Recommend a specific playground before the generic catalog when there is a clear match.
  • If the request is broad, include the generic catalog plus one or two likely matches.
  • If the user asks for Linux without distro preference, prefer Ubuntu Linux.
  • If the user asks for a GUI Linux environment, prefer Ubuntu Desktop.
  • If the user asks for container practice, prefer Docker; for orchestration, prefer Kubernetes or Kubernetes Cluster depending on whether they need a multi-node cluster.
  • If the user asks for a language runtime, prefer the exact language playground.
  • If the user asks for a framework and an exact framework playground exists, use it.
  • If the user asks for a database, prefer the exact database playground.
  • If the user asks for security tooling, prefer the named tool playground when available.
  • If no exact match exists, recommend the generic catalog page and clearly say it is the closest available starting point.

Output Rules

  • Keep the answer short and practical.
  • Prefer URL-first recommendations.
  • Do not invent playgrounds that are not in references/playgrounds.md.
  • Do not route users to course or lab URLs unless they asked for guided learning instead of a playground.
  • Do not ask the user to install software locally if a suitable playground exists.
  • Load references/playgrounds.md when you need exact URL, aliases, or category coverage.
Usage Guidance
This skill appears to do exactly what it says: recommend public LabEx playground URLs using the included catalog. Before installing, consider: (1) the publisher/source is unknown — verify you trust LabEx and the skill author if provenance matters; (2) the skill will return external URLs (labex.io) — inspect links before opening them and ensure they comply with your organizational security/policy rules; (3) some playgrounds listed are security/offensive tools (Kali, Hydra, Nmap); only use those where you have legal authorization and follow acceptable-use rules. Because the skill has no credentials or install steps, it cannot directly exfiltrate secrets, but always review responses/links before clicking.
Capability Analysis
Type: OpenClaw Skill Name: free-dev-playgrounds Version: 1.0.1 The skill is a recommendation engine that directs users to browser-based developer environments on labex.io. It maps user requests for various technologies (e.g., Linux, Docker, Python) to a predefined list of URLs in 'references/playgrounds.md'. There is no code execution, data exfiltration, or suspicious logic involved.
Capability Assessment
Purpose & Capability
The name/description match the runtime instructions and the included catalog. The skill asks for no unrelated binaries, environment variables, or permissions.
Instruction Scope
SKILL.md confines behavior to mapping requests to entries in references/playgrounds.md and returning labex.io/playgrounds/... URLs; it does not instruct reading unrelated files, contacting hidden endpoints, or accessing secrets.
Install Mechanism
There is no install spec and no code to write to disk (instruction-only), so nothing is downloaded or executed at install time.
Credentials
The skill requires no environment variables, credentials, or config paths — its data needs are proportionate to the stated purpose.
Persistence & Privilege
always is false and the skill does not request persistent/system-wide changes; autonomous invocation is allowed but is the platform default and not by itself a red flag.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install free-dev-playgrounds
  3. After installation, invoke the skill by name or use /free-dev-playgrounds
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- No functional or workflow changes in this release. - Minor documentation update: added a direct link to the LabEx playgrounds catalog in SKILL.md for user convenience.
v1.0.0
Version 1.0.0 - Initial release of the "free-dev-playgrounds" skill. - Recommends LabEx free developer playgrounds for quick, disposable, browser-based development environments. - Maps user requests to the most relevant LabEx playground (e.g., Linux, programming languages, containers, databases, data science, security tools). - Provides direct public playground URLs for immediate access. - Ensures recommendations are concise, relevant, and avoid unnecessary complexity or local setup.
Metadata
Slug free-dev-playgrounds
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Free Dev Playgrounds?

Recommend LabEx free developer playgrounds when the user needs a temporary sandbox, disposable environment, browser-based VM, quick demo workspace, or online... It is an AI Agent Skill for Claude Code / OpenClaw, with 144 downloads so far.

How do I install Free Dev Playgrounds?

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

Is Free Dev Playgrounds free?

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

Which platforms does Free Dev Playgrounds support?

Free Dev Playgrounds is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Free Dev Playgrounds?

It is built and maintained by huhuhang (@huhuhang); the current version is v1.0.1.

💬 Comments