Orchestrate parallel multi-agent research workflows and generate structured reports.
npx skills add https://github.com/Fancu1/dotfile --skill deep-research-fancu1
Please help me install this Agent Skill. Skill: deep-research Source: https://github.com/Fancu1/dotfile/tree/main/skills/deep-research Command: npx skills add https://github.com/Fancu1/dotfile --skill deep-research-fancu1
This Skill automates complex, multi-stage research tasks by breaking them down into parallelizable sub-goals, executing them across multiple agents, and then systematically aggregating, refining, and delivering a polished, comprehensive report.
Use the deep-research skill to conduct a comprehensive analysis of the latest advancements in renewable energy technologies.
High-intent search queries and answers about installing and using this skill.
Automated competitive analysis report generation is achieved by decomposing a broad research objective into parallel sub-goals. Multiple agents execute these sub-tasks concurrently to gather data, which is then systematically aggregated into a chaptered report with key conclusions.
Multi-agent orchestration for web research works by breaking down a target into smaller, concurrently executable sub-tasks within a sandboxed environment. Each agent leverages installed skills or MCP tools for data retrieval, and sub-results are aggregated via scripts into a polished report.
Automated data aggregation prioritizes web access through your installed skills or MCP tools. You need to provide these data retrieval mechanisms beforehand so the parallel agents can successfully gather and aggregate the required information for the final report.
The best way to conduct a deep dive into market trends and competitor strategies is using parallel agent orchestration. This approach systematically executes concurrent sub-goals for data collection and aggregates the findings into a comprehensive, evidence-based strategy report.
Systematic research for evidence-based writing on topics like renewable energy is fully supported. The workflow decomposes the subject into parallel sub-goals, gathers data via web tools, and delivers a polished, chaptered report with actionable conclusions.
Sandboxed environments for multi-agent data gathering limit direct access to local system resources and restricted networks. Data retrieval is strictly mediated through installed skills or MCP tools, meaning any external source requiring authentication outside these tools cannot be accessed.
stevessrSearch and retrieve agent skills from the MCP server.
InneiMaintain evidence-based conclusions during analysis despite emotional stakeholder pushback.
giraphantGenerate cross-text synthesis reports, aggregated reference lists, and knowledge base updates from analysis files.
davduncProduce verified structured research outputs across multi-agent investigation workflows.
