AI Research Brief Generator is a skill published by agensi that equips an AI agent with a structured research methodology for producing professional intelligence briefings from brief prompts. Rather than summarizing the first few search results, the skill enforces a multi-perspective querying approach: it conducts primary, adjacent, and contrarian searches to reduce blind spots and echo chambers. Every source is evaluated on a 0–10 scale for credibility and recency, and sources that fall below the quality threshold are discarded. Factual claims require at least two independent sources before they appear in the output. The skill also identifies where data sources agree versus where they conflict, separating consensus findings from contested claims and flagging that distinction explicitly. Output is formatted as structured Markdown documents suited for decision-makers. These documents include inline citations with source and year, source-bias assessments, risk matrices, source analysis tables, confidence ratings (high or medium) for recommendations, and methodology notes. This makes the final report a defensible intelligence product rather than a plain summary. The skill has no listed environment variables and exposes no discrete tools; its value is in the workflow logic it applies when an agent calls it. It is classified as a skill, not an MCP server, so it fits agent frameworks that support the skill kind rather than tool-call integrations.

Use cases

Use it to generate competitive intelligence briefs that surface contrarian viewpoints alongside mainstream consensus.

Use it to produce executive-ready market research reports with inline citations from multiple verified sources.

Use it to automate due-diligence summaries that flag contested claims and low-credibility sources.

Use it to create risk matrices from open-source research on a topic or entity.

Use it to replace ad-hoc web searches with a repeatable, documented research methodology inside an agent workflow.

When to use it

When an agent task requires a defensible, citation-backed research output rather than a quick answer.

When the workflow needs source credibility scoring and explicit methodology notes.

When reports must distinguish between consensus findings and contested or conflicting data.

When the output consumer is a decision-maker who needs structured Markdown with risk assessments.

When not to use it

When the agent runtime does not support the skill kind — this is not an MCP server with tool calls.

When the task requires real-time data retrieval tied to a specific search API, as no tool integrations are listed.

When a simple factual lookup is sufficient and structured report formatting adds no value.

Ai Research Brief Generator

Use cases

When to use it

When not to use it