Orchestrates multi-agent problem solving with consensus via staged workflows.
npx skills add https://github.com/objectiveSee/claude-skills --skill ensemble
Please help me install this Agent Skill. Skill: ensemble Source: https://github.com/objectiveSee/claude-skills/tree/main/ensemble Command: npx skills add https://github.com/objectiveSee/claude-skills --skill ensemble
Ensemble coordinates multi-agent problem solving by dispatching independent agents to work on the same task, then uses a review phase to reach consensus.
Configure and run a 5-build, 3-review, 1-synth ensemble pipeline for the given task, then await user confirmation before dispatch.
High-intent search queries and answers about installing and using this skill.
Multi-agent orchestration coordinates independent agents to work on the same task in parallel, then uses a review phase to reach consensus. It is needed for tasks that benefit from parallel exploration, independent outputs, and formal evaluation by reviewers.
You build a multi-agent pipeline by configuring fan-out and fan-in workflows across four stage types: build, research, review, and synthesize. Standard templates structure comparable outputs before a formal consensus algorithm determines the final results.
Yes, you can add human-in-the-loop approval to a multi-agent consensus workflow. The orchestration supports a formal escalation path that awaits user confirmation before dispatching or finalizing the pipeline's synthesized output.
Multi-agent orchestration works for code generation pipelines by dispatching multiple build agents to explore the task independently. A review stage then formally evaluates these parallel outputs to reach a consensus before final synthesis.
The best way to merge independent research outputs is using a formal consensus algorithm during a dedicated review stage. Template-based outputs ensure the independent results are structured and comparable before the synthesis phase.
The main limitation of fan-out and fan-in agent orchestration is the overhead of running multiple agents and a formal review phase. Tasks that do not benefit from parallel exploration or independent evaluation may find this staged consensus workflow excessive.
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