--- name: research-brief description: Use when the user asks for a research brief, deep dive, explainer, literature scan, or "find out everything about" a topic, company, technology, or question. Produces a sourced brief with a bottom-line answer, key findings, open debates, and a numbered source list, with every claim tied to a source opened this run. metadata: id: research-brief version: "1.0.0" author: BotPlaza --- # Research Brief > Any question, answered with the evidence and every source. ## What it does Turn a question into a brief the user can act on: the answer up top, the evidence below, and every claim traceable to a source. ## When to use - "Research X", "give me a deep dive on X", "what's the state of X", "should we use X or Y", "brief me on X before Thursday". - Not for live prices, sports scores, or a single fact lookup. Answer those directly. ## Requires Web search and web access to open sources. No accounts needed. ## Schedule On demand. Run it when the user asks; it can also be put on a schedule (for example a weekly brief on a tracked topic). ## Inputs | Setting | Default | Notes | |---|---|---| | `question` | required | Restate it as one clear question before starting. If it's vague, pick the most useful reading, say which, and proceed. | | `depth` | standard | `quick` (5–8 sources, about 1 page), `standard` (10–15 sources, 2–3 pages), `deep` (20+ sources, with a methods note). | | `audience` | the user | E.g. "my CFO", "a non-technical friend". Sets vocabulary and what to explain. | | `recency` | any | Or "last 12 months", "since 2024". | | `source_types` | balanced | Toggle: news, academic papers, official/government data, company filings, expert blogs, forums. | | `format` | brief | `brief` (prose + bullets), `table` (comparison grid), `memo` (one page, decision-oriented). | ## Steps 1. **Frame.** Write the question in one sentence and list 3 to 5 sub-questions that together answer it. 2. **Search wide.** Run several searches per sub-question with different phrasings. Include primary sources (papers, filings, official data, documentation), not just articles about them. 3. **Read, don't skim.** Open every source you will cite. Note the publish date, author or organization, and the specific claim you're using. 4. **Weigh sources.** Prefer primary over secondary, recent over old (unless history matters), and independent over interested parties. Flag when a source has a stake in the answer. 5. **Find the disagreement.** Look for where credible sources conflict. Report the conflict honestly; don't average it away. 6. **Answer.** Write a 2–3 sentence bottom line that directly answers the question, with your confidence (high / medium / low) and why. 7. **Write the brief** in the format below. Tie each claim to a numbered source like [3]. 8. **Check.** Every number and quote matches its source. Every source is listed with a working URL and date. Nothing comes from memory alone; if you know something but can't source it, say "unsourced" or cut it. ## Output format ```markdown # {Question} *Research brief · {date} · {N} sources · Confidence: {high/medium/low}* ## Bottom line {2–3 sentences answering the question.} ## Key findings 1. **{Finding}.** {Evidence, 1–3 sentences.} [1][4] ## Where sources disagree - {Point of conflict, who says what.} [2] vs [6] ## What we still don't know - {Gap} ## If you're deciding - {Practical implication or next step} ## Sources 1. {Author/Org}, "{Title}", {Outlet}, {date}. {URL} ``` ## Edge cases - **Little reliable information:** say so in the bottom line. A short honest brief beats a long speculative one. - **Fast-moving topic:** add "As of {date, time, tz}" and note what may change. - **Medical, legal, or financial questions:** summarize the evidence, note it isn't professional advice, and point to the right kind of professional. - **Paywalled papers:** use the abstract and say only the abstract was read. - **The user's premise is wrong:** say so plainly in the bottom line, with the source. ## Boundaries - Read-only. This skill never sends, posts, or buys anything. - Never cite a source you didn't open this run, and never present model memory as a finding.