Enforce low-tier Haiku and Sonnet agents for cost-efficient parallel execution.
npx skills add https://github.com/MeroZemory/oh-my-droid --skill ecomode-merozemory
Please help me install this Agent Skill. Skill: ecomode Source: https://github.com/MeroZemory/oh-my-droid/tree/main/skills/ecomode Command: npx skills add https://github.com/MeroZemory/oh-my-droid --skill ecomode-merozemory
This skill keeps Factory Droid pro-plan workflows within budget by enforcing low-tier agent usage, token-conscious routing, and persistent verification so teams never waste expensive Opus cycles.
Ask for token-efficient parallel execution with Haiku and Sonnet agents to lower costs.
High-intent search queries and answers about installing and using this skill.
You can reduce token costs by enforcing parallel execution rules that route independent background operations to low-tier Haiku and Sonnet agents, reserving expensive Opus cycles only for essential planning or critique tasks.
Yes, Factory Droid pro-plan workflows support routing independent background operations to Haiku and Sonnet agents, enforcing run-in-background actions for long-running commands while keeping all coordinated tasks token-efficient.
The best way to orchestrate multiple agents within budget is to apply routing and escalation rules that prefer low-tier agents, enforce parallel background execution for independent tasks, and require cleanup of state files upon completion.
Parallel agent routing handles cleanup by demanding zero unfinished tasks during verification and automatically removing ecomode state files before workflow completion, ensuring safe continuous use for cost-focused engineering teams.
You should escalate a background processing task to Opus only when essential planning or critique is required, as routing rules prefer Sonnet and Haiku agents for standard execution and research operations to maintain token efficiency.
Yes, ecomode supports coordinated background operations across analysis, execution, research, and QA agents by enforcing parallel execution and routing independent tasks to low-tier Haiku and Sonnet agents to optimize overall token costs.
sigridjinethCoordinates parallel execution of independent tasks across multiple GPUs and machines.
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JoeyJoziahCoordinate multi-agent swarm workflows across MCP and CLI environments.
frankxaiSelects Haiku, Sonnet, or Opus based on complexity analysis and cost-benefit.
