“research”

Conduct preliminary research on a topic and generate research outline.

Research on the open web, in feeds and in notebooks: pick the method that fits the question — pulse for what people say right now, deep-research for a…

Build, extend, AND query a persistent LLM-maintained wiki for any research topic.

Gather external knowledge the spec needs and distill it into §R — the durable research log — so build grounds in facts instead of hallucinating library…

This skill should be used when the user asks to "research", "fact-check", "check the history", "is this accurate", "research notes", "sources", "historical…

Default entry point for any research request — a hybrid router that classifies the question deterministically and either delegates to a specialist research…

Business research for competitor intelligence, diligence, ICP research, account research, customer research, prospect enrichment, and evidence synthesis.

Answer a hard research question by fanning it out across DISTINCT search modalities, each blind to the others, then synthesizing one sourced artifact.

Starts Phase 1 (Research) for a topic: reads every relevant file, optionally runs a panel of Explore teammates, and saves a research artifact to…

How to research topics using web tools

Run source-backed technical research and convert findings into implementation-ready guidance.

Use this skill to run Sokosumi research workflows from a coding-agent environment: research briefs, competitor analysis, market scans, source gathering…

Research any token, wallet, or contract with the ChainGPT Web3 toolkit.

Vulnerability-research loop toward a novel CVE.

SOP to run verified, on-demand research on any question and write a structured research report to research/.

Produce bounded, source-backed research packets for product, ecosystem, and operator decisions.

Use this skill to conduct deep parallel research on a topic using web searches and available tools.

Comprehensive research and content extraction — quick/standard/extensive/deep modes with multi-agent parallel research, content retrieval, AI trends analysis…

Autonomous ML research loop for a "research lab" repo — survey, hypothesize, pre-register, run matched-compute experiments with seeds and a negative control…

Content topic research and angle discovery.

Structured research through parallel subagents — split the question into topics, collect sourced findings, report concisely.

Technical research methodology with YAGNI/KISS/DRY principles.

Deep technical research via the research-gateway MCP — agentic Tavily + Context7 + page-fetch with cross-verification, returns a cited markdown report

对照高可信一手来源调研问题，并把发现保存为仓库中的 Markdown 文件。适用于用户想调研主题、收集文档或 API 事实，或把阅读工作委托给后台代理时。