Parallelize deep research across multiple AI services into a cited report.
npx skills add https://github.com/hAcKlyc/MyAgents --skill ultra-research
Please help me install this Agent Skill. Skill: ultra-research Source: https://github.com/hAcKlyc/MyAgents/tree/main/bundled-skills/ultra-research Command: npx skills add https://github.com/hAcKlyc/MyAgents --skill ultra-research
多AI并行深度研究。当用户需要对某个主题进行全面调研、深度研究、多方对比、或需要覆盖多个维度和来源的综合分析时触发。适合复杂主题（技术选型、竞品分析、行业趋势、争议性话题等），不适合简单事实查询。通过多个AI服务并行研究，交叉验证，输出带引用的综合报告。 这一能力为需要宽广视角、快速初步结论并随之进行深度验证的场景提供支持。
Trigger Ultra-Research to start a parallel, multi-service study and generate a cited, cross-validated report.
High-intent search queries and answers about installing and using this skill.
Cross-source AI research for a competitive analysis report is conducted by parallelizing deep research across multiple AI services to cross-validate findings and produce a comprehensive, citation-rich final output with structured metadata.
The best way to generate a cited report for technology selection topics is orchestrating multi-service AI coordination to analyze multiple dimensions simultaneously, preserving key source links for traceability within a structured final document.
Yes, you can use parallel AI services for cross-validating controversial industry trends by assigning research tasks across multiple services simultaneously, comparing sources, and synthesizing the cross-validated results into a single comprehensive report.
You need multi-service parallel research instead of a simple AI query when your topic requires multidimensional sources and broad perspective coverage, such as complex competitive analysis, industry trends, or controversial subjects needing deep cross-validation.
Cross-source report generation handles citations by preserving key source links during multi-service orchestration, returning a structured final output that includes comprehensive sources and metadata for full traceability of the research findings.
Multi-service AI research does not work efficiently for simple factual queries, as it is specifically designed for complex topics requiring multidimensional sources and broad perspective coverage rather than straightforward information retrieval.
brittaniebuffiecsuManage research queries via Parallel API with JSON output.
HyunjunJeonStructure research reports with executive summaries, sections, and citations.
lengo0951Document AI coding processes and generate detailed project reports.
LichAmnesiaAggregate 3–30 research artifacts into a structured pack with provenance.
