Orchestrate multi-phase task pipelines with isolated subagents via the Task tool.
npx skills add https://github.com/zby/llm-do --skill ralph-zby
Please help me install this Agent Skill. Skill: ralph Source: https://github.com/zby/llm-do/tree/main/arscontexta/skills/arscontexta-ralph Command: npx skills add https://github.com/zby/llm-do --skill ralph-zby
This Skill addresses the challenge of context contamination in sequential AI task processing by ensuring each task phase operates with a fresh, isolated context, preventing degradation of attention and ensuring learnings are captured.
Process up to 5 tasks from the queue using the ralph skill.
High-intent search queries and answers about installing and using this skill.
Pipeline automation for multi-phase task processing orchestrates tasks through extract, create, enrich, reflect, reweave, and verify stages. It uses isolated subagent spawning to ensure each phase operates with a fresh context, preventing attention degradation while capturing specific learnings.
Subagent spawning for multi-phase queue processing is orchestrated by using the Task tool to spawn a subagent for every single task. This guarantees context isolation across phases like extract, create, enrich, reflect, reweave, and verify, while capturing learnings via a handoff block.
Yes, concurrent queue processing supports parallel execution modes for handling tasks concurrently with up to 5 workers. It also offers serial processing for up to N tasks, allowing you to choose the best execution strategy for your workload.
Queue processing supports dry runs to preview actions before execution and includes filtering capabilities to select tasks by batch or type. This allows you to safely test the pipeline and target specific subsets of your task queue.
The best way to capture learnings across isolated agent pipeline stages is to employ a handoff block for robust context management. This mechanism ensures verifiable outcomes are passed between phases, maintaining quality even when subagent context is isolated.
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