Best use case
ping is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Test connectivity with AI provider (gemini/codex/opencode/droid/claude).
Teams using ping should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ping/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ping Compares
| Feature / Agent | ping | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Test connectivity with AI provider (gemini/codex/opencode/droid/claude).
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Ping AI Provider Test connectivity with specified AI provider. ## Usage The first argument must be the provider name: - `gemini` - Test Gemini - `codex` - Test Codex - `opencode` - Test OpenCode - `droid` - Test Droid - `claude` - Test Claude ## Execution (MANDATORY) ```bash ccb-ping $ARGUMENTS ``` ## Examples - `/ping gemini` - `/ping codex` - `/ping claude`
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