--- name: research-prompt description: "Turn vague research needs into one precise deep-research prompt with context and output criteria." category: research risk: safe source: community source_repo: davidondrej/skills source_type: community date_added: "2026-07-07" author: davidondrej tags: [research, prompting, briefs] tools: [claude, codex] license: "MIT" license_source: "https://github.com/davidondrej/skills/blob/main/LICENSE" --- # Research Prompt ## When to Use - Use when the user wants a deep-research brief or researcher prompt. - Use when a vague research question needs to become one precise self-contained paragraph. Goal: turn a vague research need into ONE self-contained paragraph that a researcher with zero prior knowledge of the project 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. - **Assume zero prior knowledge.** Write for a researcher who has never heard of the project. Open by explaining, in plain English, what the project/product is, why it exists, and the current situation — so they understand what's going on, what we need, and why we need it. - **Lead with the goal + decision.** Right after that explainer, state 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. - **Completion bar (define "done").** Don't stop at the first plausible answer. Corroborate each key claim with multiple independent primary sources where they exist; where sources are scarce, say so explicitly instead of padding. Keep going until every numbered sub-question is covered to this bar. - **Gap round before finishing.** List gaps, contradictions and single-source claims, then make a bounded targeted search pass. Stop when additional searches do not change the evidence, and report unresolved uncertainty rather than looping until an impossible clean result. - **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 1. Pull context from the relevant project files / conversation (dates, names, known facts, audience, end use), and write a 1–2 sentence plain-English explainer of what the project is and why it exists for a reader who knows nothing. 2. Identify the ONE question the research answers. 3. Draft 3–6 numbered sub-questions that fully cover it. 4. Add include/avoid constraints + the per-finding output format. 5. Compress to one clean paragraph. Cut filler. ## Template > [For a reader with zero prior knowledge: in 1–2 plain-English sentences, what the project/product is, why it exists, and the current situation.] 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. Don't stop at the first plausible answer: corroborate each key claim with multiple independent primary sources where they exist (and say so explicitly where they don't), continuing until every numbered question is covered to that bar. Before finishing, do a self-critique pass — list gaps, contradictions, and any single-source claims, then run another round of searches to close them, repeating until clean. 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. ## Executing the prompt A prompt-drafting request does not authorize execution, paid provider calls or private-context transmission. If research execution is separately requested, discover an authorized available provider and its actual schema/cost/data boundary; follow the matching installed skill without assuming DeepAPI availability. ## Example **User request:** > Turn vague research needs into one precise deep-research prompt with context and output criteria. ## Limitations - Adapted from `davidondrej/skills`; verify local paths, tools, credentials, and agent features before acting. - For commands, remote access, scheduling, browser automation, or file-changing workflows, get explicit user approval and confirm the target environment first. --- Source attribution: davidondrej/skills contributors, via Agentic Awesome Skills Original project: https://github.com/davidondrej/skills License: MIT + CC-BY-4.0 License information: https://creativecommons.org/licenses/by/4.0/ Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 David Ondrej Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: davidondrej/skills contributors, via Agentic Awesome Skills Original project: https://github.com/davidondrej/skills Attribution basis: Recorded upstream repository Fields of work: Education & Research Roles: Researcher Specialties: Specialty not specified Tools: Tool not specified Country applicability: Country not specified Classification basis: Dave AI task classification from package title, description, and declared metadata Instruction SHA-256: 0481f9d4c9cd1ce73a52a1d7bc7b6383fc9a8ad3643dcb89839e48a875931807 Metadata reviewed: 2026-10-27 This metadata supersedes earlier Mega AI Hub catalog attribution. Original instruction and supporting files are preserved.