Coordinate parallel scientists to perform autonomous research with decomposition and synthesis.
npx skills add https://github.com/atmigtnca/sidep-ops --skill science-atmigtnca
Please help me install this Agent Skill. Skill: science Source: https://github.com/atmigtnca/sidep-ops/tree/main/skills/science Command: npx skills add https://github.com/atmigtnca/sidep-ops --skill science-atmigtnca
Coordinate parallel scientists to perform autonomous research, streamlining complex investigations by distributing work across multiple specialists and routing tasks to the most suitable models.
Initiate a parallel research session for a given goal and deliver a structured plan.
High-intent search queries and answers about installing and using this skill.
To orchestrate parallel agents for autonomous research, you initiate a session that decomposes goals into independent stages, routes tasks to suitable models, and schedules them for parallel execution.
Automating complex scientific workflows involves using AUTO-mode looping to distribute work across multiple specialists, cross-validate findings through verification, and synthesize results into a consumable report.
You start a parallel research session by providing a specific goal, which the system decomposes into a structured plan of independent stages ready for parallel execution and verification.
Yes, you can resume an autonomous research session because the system enforces session persistence and status tracking, allowing workflows to resume from their last completed stage.
Yes, parallel workflow orchestration supports cross-validation by running parallel stages independently and then verifying findings to ensure consistency and coverage before synthesis.
You should avoid autonomous parallel orchestration when tasks cannot be decomposed into independent stages, as the system relies on explicit agent routing and parallel scheduling to function effectively.
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