| name | research-prompt |
| description | Write a single-paragraph Deep Research prompt to hand to a human researcher (or a deep-research AI). Use when the user wants a research brief, a "deep research prompt", a one-paragraph task for a researcher, or asks "what should our researcher look for". Produces ONE tight paragraph with full context, numbered sub-questions, and per-finding output format. |
Research Prompt
Goal: turn a vague research need into ONE self-contained paragraph the researcher can act on with zero back-and-forth.
Rules
- One paragraph. No headers, no bullet list in the deliverable.
- Prompt the job, not the topic. Give search handles (timeframe, ranking, source type, decision logic) — not just a subject.
- Lead with the goal + decision. First sentence = the single question the research must answer and the decision/use it informs.
- Embed all context. Names, dates, product, prior known facts, constraints. The researcher must not need to ask anything or guess.
- Number the sub-questions inline (1, 2, 3…) so coverage is explicit. Keep to 3–6. One mission per prompt — don't cram unrelated questions.
- State constraints. What to include, what to avoid (e.g. "only non-Chinese competitors", "no marketing fluff").
- Source hierarchy. Prefer primary sources (official docs, GitHub, papers, filings, changelogs); forums/X/Reddit are weak signal only, never factual proof.
- Contradiction handling. If sources conflict, separate confirmed facts / inference / unresolved uncertainty — don't force fake consensus. Flag low-confidence claims for verification.
- Constrain output hard, method loosely. Be strict on the deliverable; leave the search path flexible so the researcher can explore.
- Demand a fixed output per finding: source link + specific claim + one-line "why it matters / why a viewer should care".
- Verifiable, citable facts only. No opinions.
- Last sentence: instruct them to output everything into a single detailed markdown file.
Process
- Pull context from the relevant project files / conversation (dates, names, known facts, audience, end use).
- Identify the ONE question the research answers.
- Draft 3–6 numbered sub-questions that fully cover it.
- Add include/avoid constraints + the per-finding output format.
- Compress to one clean paragraph. Cut filler.
Template
Research [TOPIC + key identifying facts] to answer one question: [THE QUESTION] — for [DECISION / END USE]. Find: (1) …; (2) …; (3) …; (4) …. [Constraints: include X, avoid Y.] Prefer primary sources; treat forums/social as weak signal only; if sources conflict, separate fact from inference and flag what needs verification. For each point, give the source link, the specific claim, and a one-line "why it matters". No marketing fluff — verifiable, citable facts only. Output everything into a single detailed markdown file.
