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概要と使いどころ
Look up company/business data through Openapi - Italian companies by VAT/tax code or name, European and worldwide company search, shareholders, UBO, AML, PEC/SDI codes, company monitoring. Use for questions like "find data about company X", "who owns VAT number Y", "search companies in France/EU/worldwide".
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Obtain official Italian documents through Openapi - chamber of commerce reports (visure camerali), financial statements/balance sheets, company files (fascicoli), bylaws, DURC, protest reports. Use when the user needs an official PDF document about an Italian company or person.
日本語の概要は準備中です。原文の説明を表示しています。
Search cloud memory backup when local results are insufficient. Use when memory_search returns few/no results for a topic you know was discussed before. Cloud preserves everything - even memories that were deleted or compacted locally.
日本語の概要は準備中です。原文の説明を表示しています。
Use when explicitly authorized lab traffic must be captured, searched, or exported from the project's mitmproxy-backed Docker lab recorder.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze suspicious SMS/email messages, phishing links, redirects, domains, payloads, malware indicators, and suspected C2 infrastructure safely. Use when the user provides spam, smishing/phishing content, raw .eml headers, URLs, QR links, attachments, hashes, strange payloads, redirect chains, DNS/WHOIS/RDAP questions, C2 clues, exploit-chain questions, or asks what defenses to apply.
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Stores and operates on sparse expression matrices for single-cell and large bulk RNA-seq, covering dgCMatrix/dgRMatrix/dgTMatrix when-each-is-fast, the dgCMatrix (CSC, R) <-> CSR (Python) implicit transpose, AnnData (cells-rows) <-> SingleCellExperiment (cells-cols) orientation flip, HDF5/h5ad vs Zarr cloud-native shift, HDF5SummarizedExperiment + DelayedArray for out-of-memory bulk, scanpy backed mode for large h5ad, the ~10-15% density crossover where dense beats sparse, 10X format proliferation (MTX vs CellRanger H5 vs h5ad), the dense-conversion memory blow-up, and Dask + Zarr for consortium-scale matrices. Use when choosing sparse format, working with single-cell-sized matrices, importing/exporting 10X, debugging R/Python interop transposes, processing matrices too large for RAM, or building cloud-native pipelines.
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Creates DE-specific diagnostic and result visualizations using DESeq2/edgeR built-in functions and lightweight ggplot2 wrappers. Covers MA plot (with the shrunken-LFC compression effect), volcano (with the apeglm caveat that p-values are unchanged), PCA on VST/rlog (never raw counts), sample distance heatmaps, top-DE-gene heatmaps with the row-scaling trap, dispersion / BCV plot interpretation, p-value histogram diagnostics, plotCounts for individual genes, blind=TRUE vs FALSE rationale, and the n=3 visualization stake. Use when generating DE diagnostic plots, choosing VST vs rlog for visualization, troubleshooting suspicious plot patterns (shifted MA cloud, batch-dominated PCA, anti-conservative p-value histogram), or building a standard QC figure panel.
日本語の概要は準備中です。原文の説明を表示しています。
Estimates bivariate genetic correlation (rg) between traits from GWAS summary statistics or individual-level genotypes using cross-trait LDSC, HDL, LAVA, rho-HESS, GREML-bivariate, Popcorn, and HDL-L. Use when quantifying shared genetic architecture between two traits, screening MR validity before causal inference, distinguishing global from locus-level rg, estimating trans-ancestry rg, separating partial from full causation via LCV gcp, or producing a STROBE-MR-compliant cross-trait sensitivity battery. Cross-trait LDSC intercept absorbs sample overlap and is NOT a bias; HDL is biased under sample overlap above ~5%. High rg between exposure and outcome motivates CHP-aware MR sensitivity (CAUSE, LHC-MR).
日本語の概要は準備中です。原文の説明を表示しています。
Collection of AWS development skills covering CDK infrastructure as code, cost optimization, and serverless/event-driven architectures with integrated MCP servers.
日本語の概要は準備中です。原文の説明を表示しています。
This skill provides AWS cost optimization, monitoring, and operational best practices with integrated MCP servers for billing analysis, cost estimation, observability, and security assessment.
日本語の概要は準備中です。原文の説明を表示しています。
AWS serverless and event-driven architecture expert based on Well-Architected Framework. Use when building serverless APIs, Lambda functions, REST APIs, microservices, or async workflows. Covers Lambda with TypeScript/Python, API Gateway (REST/HTTP), DynamoDB, Step Functions, EventBridge, SQS, SNS, and serverless patterns. Essential when user mentions serverless, Lambda, API Gateway, event-driven, async processing, queues, pub/sub, or wants to build scalable serverless applications with AWS best practices.
日本語の概要は準備中です。原文の説明を表示しています。
Master defensive Bash programming techniques for production-grade scripts. Use when writing robust shell scripts, CI/CD pipelines, or system utilities requiring fault tolerance and safety.
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Deploy universal wisdom voices from all traditions simultaneously - Hindu, Buddhist, Taoist, Abrahamic, Indigenous, Scientific - revealing their unified recognition of consciousness navigation.
日本語の概要は準備中です。原文の説明を表示しています。
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. Use when creating CDK stacks, defining CDK constructs, implementing infrastructure as code, or when the user mentions CDK, CloudFormation, IaC, cdk synth, cdk deploy, or wants to define AWS infrastructure programmatically. Covers CDK app structure, construct patterns, stack composition, and deployment workflows.
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This skill checks for contraindications or sources of inaccuracy that may affect continuous glucose monitoring (CGM) reliability in hospitalized adults. It is triggered when clinicians ask, “Are there factors that could make CGM unreliable?” or when assessing for skin infection, hypoperfusion, hypovolemia, vasoactive/pressor therapy, or medications such as acetaminophen >4 g/day, dopamine, vitamin C, or hydroxyurea.
日本語の概要は準備中です。原文の説明を表示しています。
This skill indicates the need for periodic prolactin monitoring in transgender females undergoing estrogen therapy. Clinical triggers include a transgender female patient receiving estrogen treatment.
日本語の概要は準備中です。原文の説明を表示しています。
Provides monitoring schedule for transgender males on testosterone therapy, detailing timing of clinical visits, laboratory tests, and assessment for virilization and adverse reactions. It is triggered when a clinician manages a transgender male patient on gender‑affirming hormone therapy and needs to schedule appropriate follow‑up.
日本語の概要は準備中です。原文の説明を表示しています。
Provides monitoring schedule for transgender females on estrogen therapy, including clinical evaluation, hormone levels, prolactin, electrolytes, BMD, and cancer screening. Triggered when a transgender female is receiving estrogen therapy for gender affirmation.
日本語の概要は準備中です。原文の説明を表示しています。
Provides schedule for monitoring during sex hormone induction. Trigger: patient initiating gender-affirming hormone therapy (GAHT).
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Provides a monitoring schedule for patients receiving GnRH agonist therapy for pubertal suppression. Trigger phrases include 'patient undergoing GnRH agonist therapy' or 'initiating pubertal suppression'.
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Recommends CGM over SMBG for type 1 diabetes patients on multiple daily injections to reduce hypoglycemia risk. Triggered by clinician questions such as "Should I use CGM or SMBG for this T1D patient on MDI?" or "Is CGM preferred for glucose monitoring in this patient?"
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This skill suggests using real-time continuous glucose monitoring (CGM) rather than no CGM for outpatients with type 2 diabetes (T2D) who take insulin and/or sulfonylureas and are at high risk for hypoglycemia. It is triggered by clinician questions such as "Should I use CGM for this T2D patient on insulin or sulfonylureas with high hypoglycemia risk?" or "Is CGM indicated for this patient?"
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This skill suggests using real-time continuous glucose monitoring (CGM) and algorithm-driven insulin pumps (ADIPs) rather than multiple daily injections (MDIs) with self-monitoring of blood glucose (SMBG) three or more times daily for adults and children with type 1 diabetes (T1D). Trigger phrases include "Should I use RT-CGM+ADIP or MDI+SMBG for this T1D patient?" or "Is intensive pump therapy indicated for this patient?"
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Reassesses annually the patient’s use of self-monitoring blood glucose to calibrate the CGM system. Triggered by ‘Yearly calibration practice review’ or ‘Annual check of SMBG calibration adherence’.
日本語の概要は準備中です。原文の説明を表示しています。