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    Deep Research Pro — Investigate, Verify & Synthesize Complex

    1

    Build traceable research from defined questions, qualified sources, claim verification, contradictions and explicit uncertainty.

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    Deep Research Pro — Investigate, Verify & Synthesize Complex

    Deep Research Pro — Investigate, Verify & Synthesize Complex

    Example session with this skill installed

    Illustrative scenario: Evaluate two fictional supplied vendor statements without external browsing. Document A says “Our pilot reduced task time from 20 to 15 minutes,” with no sample or method. Document B repeats A’s claim and cites A. Determine what is supported and build a verification plan. Do not cite real studies or conclude general effectiveness.

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    • Compiled the deep research pro

    Research assessment — illustrative fictional source packet

    Question: what evidence supports the vendor’s task-time reduction, and can it inform a broader decision? Scope: two supplied documents only; no independent external verification.

    Claim extraction: A reports a 20-to-15-minute pilot result. Arithmetic difference is 5 minutes, or 25% of the stated baseline. This calculation does not validate measurements or causality.

    Source qualification: A is vendor-origin evidence with unknown sample, procedure, timeframe and comparator. B repeats A and cites it, so it is not independent corroboration. Two documents represent one originating claim.

    Supported conclusion: the packet contains a vendor-reported pilot improvement. It does not establish representative performance, controlled causal effect, reliability or expected savings for the user.

    Counter-thesis: task selection, participant learning, measurement changes or omitted context could explain the reported difference. These are possible alternative explanations, not observed facts.

    Verification plan: obtain the original pilot method, participants/task scope, timing, raw or auditable summary measurements, baseline comparability, other changes and limitations; seek relevant independent evidence; compare the user’s workflow before choosing a validation study. Preserve source/date and whether each claim is reported, corroborated or unresolved.

    Decision implication: treat the claim as a hypothesis worth validation if relevant, not proof of universal effectiveness. No ROI or procurement recommendation from this packet alone.

    Execution notes: no browsing, interviews or source retrieval performed; no real citation fabricated.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Deep Research Pro turns complex questions into decision-useful evidence chains. It defines scope and terms, plans research, qualifies sources, extracts claims, checks corroboration and contradictions and synthesizes conclusions with counter-theses and gaps.

    The skill supports literature, technical, market, policy, historical and multidisciplinary research. Primary evidence, freshness and methodology matter; snippets and headlines are discovery aids, and copied articles are not independent confirmation. Citations must actually support the claim rather than merely look authoritative.

    Available browsing and retrieval tools can support current research; without them, it works from supplied materials and marks unavailable verification. It never invents sources, citations, statistics, quotes or tool results. Larger source counts do not guarantee completeness or truth, and conclusions remain proportional to evidence and stakes.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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