Coordinate parallel OST solution exploration across multiple agents with fan-out and fan-in orchestration.
npx skills add https://github.com/haabe/tic-tac-toe --skill fan-out-haabe
Please help me install this Agent Skill. Skill: fan-out Source: https://github.com/haabe/tic-tac-toe/tree/main/.claude/skills/fan-out Command: npx skills add https://github.com/haabe/tic-tac-toe --skill fan-out-haabe
Enable parallel exploration of multiple OST solutions by fan-out and fan-in orchestration to efficiently identify the best options and document decisions.
Load the canvas opportunities, identify parallelizable solutions, and spawn workers for each solution.
High-intent search queries and answers about installing and using this skill.
Parallel exploration is orchestrated by a lead agent that identifies parallelizable solutions, distributes tasks via fan-out, and aggregates findings via fan-in to select winners and log decisions.
You need fan-out and fan-in workflow when evaluating 2 or more competing OST solutions simultaneously, requiring isolated agents to explore each option in parallel before aggregating results.
The best way to prevent modification is applying guardrails that restrict worker agents to read-only context, ensuring they cannot modify the canvas or progress diamonds during parallel exploration.
To run a bias check, the lead agent performs the evaluation during the fan-in phase, aggregating collected findings, updating scores, and validating results before logging the final decision.
Yes, parallel exploration requires distributing tasks with read-only context and isolation, establishing time bounds to ensure workers operate independently without interfering with each other.
Yes, this orchestration pattern is suitable for multiple research streams needing simultaneous evaluation, coordinating parallel tasks to efficiently identify the best options and document decisions.
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