Spawn dedicated subagents per task across a six-phase workflow.
npx skills add https://github.com/adiman9/mnemos --skill ralph-adiman9
Please help me install this Agent Skill. Skill: ralph Source: https://github.com/adiman9/mnemos/tree/main/core/skills/ralph Command: npx skills add https://github.com/adiman9/mnemos --skill ralph-adiman9
Processing AI agent tasks at scale requires strict isolation and reliable orchestration. Ralph provides a self-contained workflow that spawns a dedicated subagent per task and per phase to ensure fresh context and prevent cross-task contamination.
The system coordinates a multi-phase pipeline (extract, create, enrich, reflect, reweave, verify) with queue-driven progression, batch handling, and cross-sibling linkage to maintain traceability across related claims.
By enforcing end-to-end, deterministic behavior and standardized handoffs, it enables predictable outcomes and easier debugging in complex agent pipelines.
Process the next N tasks from the queue in serial mode, spawning a subagent for each task.
High-intent search queries and answers about installing and using this skill.
Subagent orchestration prevents context leakage by spawning a dedicated subagent for every task and phase, ensuring fresh context isolation and preventing cross-task contamination during complex AI agent workflows.
Multi-phase AI agent orchestration coordinates a six-phase pipeline (extract, create, enrich, reflect, reweave, verify) with queue-driven progression and mandatory subagent spawning to enforce deterministic behavior and predictable outcomes.
Queue processing supports serial and parallel modes with batch-aware reflect and reweave phases, utilizing cross-sibling linkage to maintain traceability and consistency across related claims during parallel task execution.
Pipeline chaining uses RALPH HANDOFF payloads to connect workflows, providing standardized handoff outputs that enable deterministic behavior and easier debugging across complex, multi-stage AI agent processing pipelines.
Subagent task isolation operates as a self-contained workflow with no external dependencies, managing queue advancement, batch handling, and per-claim note creation entirely through its internal phase progression system.
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