Deep Research Assistant Skill
Turn a broad topic or business question into a structured, source-aware research process — with clear scope, evaluated evidence, and a decision-ready brief, report, or comparison table.
Deep Research Assistant Skill is a free, reviewed AI skill for agent systems & llm workflows. Turn a broad topic or business question into a structured, source-aware research process — with clear scope, evaluated evidence, and a decision-ready brief, report, or comparison table. It works with ChatGPT, Claude, Gemini and is ready to use out of the box.
- • This skill cannot verify facts beyond what's provided or found through available browsing.
- • It does not invent sources, statistics, or citations.
- • It is not a substitute for professional legal, medical, financial, or engineering advice.
About this skill
Good research isn't just gathering information — it's clarifying what question actually needs answering, evaluating whether sources can be trusted, and being honest about what's still uncertain. This skill guides an AI assistant through that full process: narrowing a broad topic into focused research questions, choosing the right source strategy, evaluating source quality, separating facts from assumptions, synthesizing findings instead of just listing them, and producing the right output format — whether that's a quick brief, a comparison table, a decision memo, or a full research report. It's built for business, market, product, technical, and academic-style research where getting the framing right matters as much as the findings.
What it does
- Clarify a vague or overly broad research question
- Define scope, geography, time period, and source preferences
- Break a topic into focused, answerable research questions
- Evaluate source reliability and flag bias or weak evidence
- Separate confirmed facts from assumptions and opinions
- Compare viewpoints and highlight disagreements between sources
- Synthesize findings into practical insights, not just a list of facts
- Produce research briefs, comparison tables, decision memos, and reports
- Clearly mark uncertainty and what still needs verification
What is included
- SKILL.md — runtime instructions for using the skill
- workflow.md — step-by-step structured research process
- research-planning-guide.md — scoping fields, question types, and depth options
- source-quality-checklist.md — practical checklist for evaluating sources
- synthesis-frameworks.md — frameworks for turning findings into real insight
- output-templates.md — ready-to-use formats for briefs, reports, and memos
- examples.md — realistic research scenarios across business, technical, and academic contexts
- piskill-page-content.md — public PiSkill page content
How to use it
1. Share your research topic or question. 2. Mention the purpose, audience, and what decision it supports. 3. Note any scope preferences (geography, time period, source types). 4. Choose an output format, or let the assistant recommend one. 5. Review the clarifying questions or research plan before the final research runs. 6. Read the final brief, report, or table, paying attention to confidence labels and verification notes.
Examples
Is there a market for a niche AI resource marketplace like PiSkill?
A market opportunity brief with an executive summary, key trends, notable competitors, risks, and a recommendation — with claims clearly labeled as confirmed, likely, or requiring further verification, and a note about the assumptions made regarding market scope.
Known limitations
- This skill cannot verify facts beyond what's provided or found through available browsing. - It does not invent sources, statistics, or citations. - It is not a substitute for professional legal, medical, financial, or engineering advice. - If browsing isn't available, output is based only on provided material or general knowledge, and this is stated clearly. - High-stakes or fast-changing topics should be independently verified before acting on them.