Spawn multiple scouts to research angles and generate a unified report.
npx skills add https://github.com/SethGammon/Citadel --skill research-fleet-sethgammon
Please help me install this Agent Skill. Skill: research-fleet Source: https://github.com/SethGammon/Citadel/tree/main/skills/research-fleet Command: npx skills add https://github.com/SethGammon/Citadel --skill research-fleet-sethgammon
Parallelizes research by spawning multiple scouts to investigate different angles of a single question and unify findings into a single briefing, reducing time to insight.
Provide a broad research question and optional angles, then deploy Fleet scouts to generate a unified research brief.
High-intent search queries and answers about installing and using this skill.
Parallel research is automated by spawning multiple independent scouts to investigate distinct angles of a single question simultaneously. These scouts compress their findings into a unified brief containing consensus points, conflicts, and a final recommendation.
Fleet-driven consensus research is a technique that spawns multiple scouts to investigate different angles of a question and unifies them into a single report. It is best applied to complex, multi-faceted topics like technology evaluations, policy analysis, or market research.
Multi-angle market research analysis requires 3 to 5 independent angles to function properly. Providing a broad research question along with these distinct angles allows the fleet scouts to cover different aspects simultaneously and generate a cohesive briefing.
Yes, parallel research requires Fleet-enabled orchestration to deploy and manage the multiple scouts. This orchestration environment coordinates the independent angle exploration and compresses the gathered findings into a final unified report.
The best way to identify consensus and conflicts in policy analysis is deploying parallel scouts to investigate 3 to 5 independent angles. This approach compresses findings into a unified REPORT that explicitly highlights agreements, conflicting data, and a recommendation.
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