Dispatch background agents with structured manifests and track status via SCRATCHPAD.
npx skills add https://github.com/reiserwang/Coding_Agent --skill async-invoke
Please help me install this Agent Skill. Skill: async-invoke Source: https://github.com/reiserwang/Coding_Agent/tree/main/.gemini/skills/async-invoke Command: npx skills add https://github.com/reiserwang/Coding_Agent --skill async-invoke
Dispatch one or more agents as background jobs with structured manifests and track their status via SCRATCHPAD. This approach lets tasks run independently while the main agent continues, ensuring deterministic state and progress visibility.
Create manifests for each job in workspace/state/async-jobs and dispatch them with async-invoke:dispatch to run as background tasks.
High-intent search queries and answers about installing and using this skill.
To run background agents in parallel, you can dispatch independent tasks concurrently on Gemini using nohup and Claude Code using the Task tool, tracking their progress through a structured manifest and SCRATCHPAD.
A manifest-driven workflow for background agents uses a structured JSON file to define job parameters, allowing you to dispatch tasks independently while maintaining deterministic state and real-time progress visibility via SCRATCHPAD.
You track the status of dispatched background jobs by updating a centralized ASYNC_JOBS table and using specific status commands to monitor the SCRATCHPAD, ensuring real-time visibility of concurrent tasks.
Yes, you can collect results from concurrent background agents, post them to a Handoff Queue, and trigger downstream workflows across Gemini and Claude Code runtimes after the parallel tasks complete.
Before dispatching background agents, you need to create a manifest JSON file under a specific workspace state directory for async jobs, which structures the job parameters for the concurrent runtimes.
Structured manifests ensure deterministic state and progress visibility for parallel agents, allowing independent tasks to run concurrently across different runtimes while the main agent continues working without interruption.
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