Stack prompts in queue while agent runs, minimizing context switches to achieve sustained 6k lines per day output and preserved flow state. Use for heavy coding sessions, iterative refinements, rapid iteration cycles, or sustained productivity. Queue enables async execution without blocking. Triggers on "flow state", "queue prompts", "heavy coding", "sustained output", "minimize interruptions".
3.7
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0
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Tools & Utilities
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The skill provides a clear Python implementation of an async prompt queue pattern with good code examples. However, descriptionCoverage suffers because a CLI agent would struggle to understand how to actually invoke or integrate this skill in practice—it's unclear if this is a service to run, a pattern to apply, or how the 'agent.execute()' method connects to the actual AI agent. TaskKnowledge provides implementation details but lacks practical integration steps, error handling, or how to measure/achieve the claimed 6k lines/day metric. Structure is reasonable for a simple skill with clear sections. Novelty is low: the concept is a basic async queue pattern that doesn't significantly reduce token costs or provide capabilities beyond what a CLI agent could implement with a few prompts. The '6k lines/day' claim appears aspirational rather than a technical feature of the queue itself. Overall, this is a decent workflow pattern but doesn't deliver compelling value as a reusable skill for a CLI agent.
majiayu000
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