Effect Concurrency Fibers
This skill manages concurrent effect execution using fibers, streamlining complex workflows and improving performance by isolating side effects.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add effect-concurrency-fibers npx -- -y @trustedskills/effect-concurrency-fibers
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"effect-concurrency-fibers": {
"command": "npx",
"args": [
"-y",
"@trustedskills/effect-concurrency-fibers"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill enables concurrent execution of tasks within an AI agent using fibers. Fibers are lightweight, cooperative threads that allow for efficient handling of multiple operations without the overhead of traditional threading. It facilitates non-blocking I/O and improved responsiveness in scenarios requiring parallel processing.
When to use it
- Handling Multiple API Requests: When your agent needs to make several API calls concurrently to gather information from different sources.
- Real-time Data Processing: If the agent is processing a stream of real-time data, fibers can help manage multiple data points without blocking other operations.
- Event-Driven Systems: When responding to numerous events or signals simultaneously, fibers provide a way to handle them efficiently.
- Long-Running Tasks: To prevent UI freezes or delays when performing lengthy computations, offload them to fibers and update the main thread periodically.
Key capabilities
- Fiber creation and management
- Cooperative task scheduling
- Non-blocking I/O operations within fibers
- Lightweight concurrency without traditional threads
Example prompts
- "Run these three API calls concurrently using fibers."
- "Process this stream of data in parallel using fibers, updating the UI every 100ms."
- "Create a fiber to handle this long-running calculation and report progress periodically."
Tips & gotchas
- Fibers are cooperative; ensure tasks yield control when appropriate to avoid blocking other fibers.
- This skill requires understanding of asynchronous programming concepts.
Tags
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