Best use case
async-repl-protocol is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Async REPL Protocol
Teams using async-repl-protocol 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/async-repl-protocol/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How async-repl-protocol Compares
| Feature / Agent | async-repl-protocol | 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?
Async REPL Protocol
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.
SKILL.md Source
# Async REPL Protocol
When working with Agentica's async REPL harness for testing.
## Rules
### 1. Use `await` for Future-returning tools
```python
content = await view_file(path) # NOT view_file(path)
answer = await ask_memory("...")
```
### 2. Single code block per response
Compute AND return in ONE block. Multiple blocks means only first executes.
```python
# GOOD: Single block
content = await view_file(path)
return any(c.isdigit() for c in content)
# BAD: Split blocks (second block never runs)
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