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Determines if PAC/PRA ratio and PAC levels indicate positive or provisionally positive screening for primary aldosteronism. Triggered when a clinician has PAC and PRA results and asks “Is this screening test positive for PA?” or needs to interpret borderline results.
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Recommends antihypertensive therapy including mineralocorticoid receptor antagonists (MRAs) for patients with a positive primary aldosteronism (PA) screening test who decline confirmatory testing. Triggers include when a patient has positive screening but refuses additional tests and asks "What should I treat with?" or initiates empiric therapy, with preference for MRAs in typical PA presentations (e.g., spontaneous hypokalemia, resistant hypertension, adrenal tumor on CT).
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Provides guidance on acceptable blood sampling conditions for primary aldosteronism screening when ideal early‑morning supine fasting conditions cannot be met. Triggers include when a clinician says “The patient wasn’t fasting/supine” or questions whether non‑ideal sampling affects screening validity.
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Selects the aldosterone-to-renin ratio (ARR) method over hypokalemia for screening hypertensive patients for primary aldosteronism. Use when a clinician asks what test to use for screening hypertensive patients with resistant hypertension or unexplained hypokalemia for PA.
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Suggests periodic screening for autoimmune diseases known to be more prevalent in PAI patients in whom autoimmune origin of PAI has not been excluded; optimal frequency unknown but can be done annually. Use when determining screening schedule for PAI patient with uncertain autoimmune origin.
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Reads one export transaction, order or shipment description and returns a DRAFT export review pack: parties to screen with a screening checklist, an item classification worksheet, a red-flag review, licence-determination questions and open items. Use when the user asks to "prepare the export review for this order", "pre-check this shipment for export control", "who do we need to screen on this deal", "build the classification worksheet for this item" or "assemble the trade-compliance file for this technology transfer". Do not use for vendor security or due-diligence screening of a supplier's questionnaire answers; use vendor-risk-screening-brief instead. Never classifies, screens, clears, decides licence need or releases a shipment; trade compliance does. Drafts for human review; never approves, authorises or signs off.
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Prepares a DRAFT vendor risk screening brief from the material the user provides on one vendor (questionnaire answers, certificates, assurance reports, policies, contract extracts): per screening topic, what a document evidences with reference, date and scope, what is only asserted, what is missing or contradicted, certificate and report details as stated, and ready-to-send questions for the vendor and the internal owners. No web research, no risk rating, tier, score or recommendation. Use when the user asks to "screen this vendor", "review the vendor's questionnaire answers", "check what the vendor's certificate covers", "what is missing from this due diligence pack" or "draft the follow-up questions for the vendor". Do not use for answering a customer's questionnaire about your own organisation, use vendor-security-questionnaire-prefill instead. Drafts for human review; never approves, authorises or signs off.
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协助进出口商品关税归类、通关文件审查和制裁对象匹配核查，涵盖美国、欧盟、英国及亚太地区的贸易实务，并整理关税优惠条件及海关问询应对。
Plan and write literature reviews using multiple scholarly databases. Document searches, screen papers, synthesize findings, and check citations, then prepare Markdown or PDF reports with transparent selection counts, evidence limitations, and reproducible search records.
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Find stock investment candidates by combining financial filters with research into investment themes. Produce five to ten long or short ideas, each with a rationale and risks, plus a comparison table and priorities for further research.
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Screen dependency names on npm, PyPI, and crates.io before installation to find lookalikes of legitimate packages. This skill compares spelling patterns and registry metadata, helping review AI-generated lists, lockfile changes, and new dependencies in CI/CD.
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Build a screening pipeline for web pages, PDFs, and images before an AI agent reads them. Extract hidden text, check for malicious instructions with detection models, and record decisions to block or allow content.
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Add checks to LLM prompts and responses using Llama Guard 3, NeMo Guardrails, and LLM Guard. Configure content screening, conversation boundaries, and sensitive-data filtering, then measure blocking and false-positive rates with labeled test prompts.
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Screen documents and external URLs before they enter a processing workflow. Check blocked domains and document permissions, then produce a pass or reject decision, a risk report, and a tracking ID for later review.
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Screen supplied proteins, peptides, antibodies, or nanobodies against a target with Boltz. Prepares inputs, obtains a cost estimate for approval, downloads results, and ranks candidates by binding confidence, a score for predicted binding reliability.
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Screen incoming nondisclosure agreements against a supplied playbook or default criteria. Receive a three-level classification, a summary of problematic clauses, suggested fixes, and recommended next steps for approval or legal review.
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Coordinate research from question development through literature searches, analysis, and publication with specialized agents. Supports quantitative, qualitative, and mixed methods studies, plus systematic reviews, with human approval at key decisions about research direction and methods.
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Review research ethics, participant protection, and potential bias from planning through publication. The skill examines questionable research practices and study trustworthiness, then produces a structured report with evidence, risk levels, and prioritized recommendations.
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Screen search results by scoring paper abstracts, then examine promising papers for specific measurements, methods, or datasets. Record findings and review history so you can identify useful evidence and avoid checking the same papers again.
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Investigate research questions by searching PubMed, assessing paper relevance, and following references and citing papers. Extract specific data and findings into an organized summary, with search methods, citation links, and screening records for later review.
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NOTE: molecule and target inputs and your NGC_API_KEY are transmitted to external NVIDIA-hosted API endpoints on every call. Use local NIM containers for confidential or proprietary data. Run a complete computational drug discovery pipeline using NVIDIA BioNeMo NIMs: generate drug-like molecules with GenMol, dock them to a protein target with DiffDock, then predict binding affinity with Boltz2. Use this skill whenever the user wants to generate and screen small molecule drug candidates, perform hit discovery, optimize leads against a protein target, or do virtual screening combining molecule generation, docking, and affinity prediction. Triggers on: drug discovery pipeline, hit discovery, lead optimization, virtual screening, molecule generation, molecular docking, binding affinity, GenMol, DiffDock, Boltz2, SMILES, SAFE notation, NIM microservice. This is a multi-step pipeline composing three BioNeMo NIMs.
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Screen US stocks for high-quality dividend opportunities combining value characteristics (P/E ratio under 20, P/B ratio under 2), attractive yields (3% or higher), and consistent growth (dividend/revenue/EPS trending up over 3 years). Supports two-stage screening using FINVIZ Elite API for efficient pre-filtering followed by FMP API for detailed analysis. Use when user requests dividend stock screening, income portfolio ideas, or quality value stocks with strong fundamentals.
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将日语或英语描述的选股条件转换为FinViz筛选链接，组合股息率、盈利增长、市值和股价走势等条件，并支持主题筛选、排序及仅输出链接。
Convert Kanchi-style dividend investing into a repeatable US-stock operating procedure. Use when users ask for かんち式配当投資, dividend screening, dividend growth quality checks, PERxPBR adaptation for US sectors, pullback limit-order planning, or one-page stock memo creation. Covers screening, deep dive, entry planning, and post-purchase monitoring cadence.
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