Results for “endorsal”

Recommends using mineralocorticoid receptor antagonists rather than epithelial sodium-channel inhibitors for medical treatment of primary aldosteronism. Use when a clinician asks whether to use an MRA or ENaC inhibitor for medical treatment of PA.

Builds a multi-channel DSAR intake system supporting web form, email, phone, and in-person requests with identity verification tiers, automated routing logic, SLA tracking, and response generation. Activate for DSAR intake, rights request portal, multi-channel intake, SLA tracking, request management queries.

Diagnoses and resolves slow Qdrant indexing and data ingestion by optimizing batching, sharding, HNSW parameters, and payload indexing strategies.

Remove background noise and isolate vocals or speech from audio files using the ElevenLabs Voice Isolator API.

Train, evaluate, export, quantize, and run inference for a TAO OneFormer model that performs panoptic, instance, and semantic segmentation using task-conditioned queries.

This skill recommends obtaining a baseline BMD measurement by DXA in adolescents or women with functional hypothalamic amenorrhea (FHA) and concurrent polycystic ovary syndrome (PCOS) who have six or more months of amenorrhea, and earlier if there is history or suspicion of severe nutritional deficiency, other energy deficit states, or skeletal fragility. Use when a clinician states, “She has PCOS and no periods for seven months—let’s get a DXA,” or similar triggers such as “Check BMD in PCOS+FHA after six months amenorrhea” or “Order DXA sooner due to low weight.”

Donate to charities onchain via Endaoment. Use when the user wants to donate crypto to charity, make a charitable contribution, give to nonprofits, support a cause, or donate to a 501(c)(3). Supports Base, Ethereum, and Optimism. Handles USDC donations directly or swaps ETH/tokens to USDC automatically.

Executes a structured ransomware incident response from initial detection through containment, forensic analysis, decryption assessment, recovery, and post-incident hardening.

Determines whether to recommend unilateral laparoscopic adrenalectomy or medical therapy with a mineralocorticoid receptor antagonist for patients with confirmed unilateral PA (aldosterone-producing adenoma or unilateral adrenal hyperplasia). Triggered when discussing treatment options after confirming unilateral PA in a hypertensive patient with hypokalemia or resistant hypertension.

This skill recommends monitoring desmopressin (DDAVP) doses and adjusting them as needed in patients who have recently started antiepileptic drugs (AEDs). It is triggered when a patient initiates AED therapy and requires DDAVP management for diabetes insipidus.

Detects ransomware encryption activity in real time using entropy analysis, file system I/O monitoring, and behavioral heuristics.

When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy. Also use when the user mentions 'referral,' 'affiliate,' 'ambassador,' 'word of mouth,' 'viral loop,' 'refer a friend,' or 'partner program.' This skill covers program design, incentive structure, and growth optimization.

Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency on NVIDIA GPUs (A100/H100).

Read and query onchain data using events, The Graph, Dune, Ponder, Multicall3, and WebSocket subscriptions, with guidance on block iteration limitations.

Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.

Provides a structured risk scoring methodology for Data Protection Impact Assessments aligned with ENISA threat taxonomy and ISO 29134. Covers likelihood and severity assessment, risk matrix construction, inherent vs residual risk calculation, and risk appetite thresholds per EDPB WP248rev.01 guidance. Keywords: risk scoring, DPIA risk matrix, likelihood, severity, ENISA, ISO 29134, residual risk, risk appetite.

Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.

Utilize Shodan, the search engine for Internet-connected devices, to discover exposed assets, vulnerable ports, default credentials, and specific infrastructure configurations using advanced search queries (dorks).

Deploys and configures CrowdStrike Falcon EDR sensors across Windows, macOS, and Linux endpoints, sets prevention and response policies, validates deployment, and integrates with SIEM platforms.

Build and deploy machine learning models with TensorFlow, covering Keras, data pipelines, and production serving.

Modern Angular (v20+) expert with deep knowledge of Signals, Standalone Components, Zoneless applications, SSR/Hydration, and reactive patterns.

Develop and implement OT-specific incident response playbooks aligned with SANS PICERL framework, IEC 62443, and NIST SP 800-82 that address unique ICS challenges including safety-critical systems, limited downtime tolerance, and coordination between IT SOC, OT engineering, and plant operations teams.

Econometrics skill for machine learning methods in causal inference. Activates when the user asks about: "causal forest", "generalized random forest", "GRF", "double machine learning", "DML", "debiased machine learning", "LASSO for variable selection", "post-LASSO", "heterogeneous treatment effects", "CATE", "conditional average treatment effect", "BLP analysis", "CLAN analysis", "causal tree", "honest estimation", "因果森林", "双重机器学习", "异质性处理效应", "条件平均处理效应", "LASSO变量选择", "机器学习因果推断", "去偏机器学习"

Econometrics skill for machine learning methods in causal inference. Activates when the user asks about: "causal forest", "generalized random forest", "GRF", "double machine learning", "DML", "debiased machine learning", "LASSO for variable selection", "post-LASSO", "heterogeneous treatment effects", "CATE", "conditional average treatment effect", "BLP analysis", "CLAN analysis", "causal tree", "honest estimation", "因果森林", "双重机器学习", "异质性处理效应", "条件平均处理效应", "LASSO变量选择", "机器学习因果推断", "去偏机器学习"

Guide pre-endoscopy management decisions for patients on GLP-1 receptor agonists (semaglutide, tirzepatide, liraglutide etc.), deciding whether to proceed, delay, or modify the approach based on GI symptoms, fasting status, and indication. Trigger when a clinician asks about GLP-1 RA and endoscopy, semaglutide before colonoscopy, Ozempic before procedure, or whether to hold a GLP-1 agonist before endoscopy.

Interprets the saline infusion test (SIT) to assess the probability of primary aldosteronism when a patient has a positive aldosterone-to-renin ratio (ARR) and requires confirmatory testing. Triggers include evaluating post‑infusion plasma aldosterone concentration (PAC) after a positive ARR, hypertension work‑up, or when deciding whether to proceed to adrenal venous sampling (AVS).

CONDOR v2.0 — Multi-Asset Thesis Picker. Evaluates BTC, ETH, SOL, HYPE simultaneously and enters the strongest thesis. Conviction-scaled margin. DSL exit managed by plugin runtime via runtime.yaml.

Recommends using NSAIDs or DMARDs instead of glucocorticoids for chronic inflammatory disease (e.g., rheumatoid arthritis) to limit weight gain. Triggered when clinicians ask, “What anti‑inflammatory should I choose for this RA patient to avoid weight gain?” or “Should I avoid steroids in this obese patient with RA?”

Provides a command-line interface to manage Ansible, Terraform/OpenTofu/Terragrunt, PowerShell, and other DevOps tools through a modern UI and API.

Mapa i przewodnik po wyspecjalizowanych skillach platformy Soneta (enova365, Triva): soneta-programming (ORM, kod biznesowy), soneta-addon-planning, soneta-business-xml, soneta-form-xml, soneta-repx (wydruki DevExpress .repx), soneta-place-def-elementow, soneta-config (import/eksport XML, scan-folders, appsettings.json — porty i adresy komponentów), soneta-config-reg (rejestr konfiguracji ConfigReg, providery, *.reg.json), soneta-tools (narzędzia CLI: dbmgr, buscall, SonetaFrame), soneta-containers (docker compose, Apple container, Helm/Kubernetes, wersje obrazów, baza w kontenerze). Używaj gdy użytkownik: (1) rozpoczyna zadanie dla platformy Soneta i nie wiadomo, który skill wybrać; (2) pyta ogólnie o dodatki, moduły lub rozszerzenia Soneta ERP; (3) wspomina enova, Soneta Enterprise, Triva bez sprecyzowania warstwy (dane, UI, logika, płace); (4) chce poznać dostępne skille; (5) realizuje zadanie obejmujące wiele warstw platformy (np. moduł z bazą, formularzami i logiką).

Helps distinguish unilateral from bilateral adrenal disease based on 18-oxocortisol levels, which are typically higher in aldosterone-producing adenoma than idiopathic adrenal hyperplasia. Use when evaluating 18-oxocortisol results during PA workup to guide subtype classification after a positive ARR.

Decision-grade entity research skill — produces a hypothesis-tested dossier on a specific company, person, nonprofit, or government org, not a generic profile. Forcing intake makes the user state their hypothesis upfront (what they already believe and want to verify or disprove) so the dossier tests it rather than confirms it. Output is an editable Word document (.docx) with verdict on the hypothesis, identity facts, 12-month activity timeline, network and reputation signals, red flags, conversation hooks tied to specific findings, and source-provenance audit log. Uses WebSearch + WebFetch + free APIs (SEC EDGAR, GitHub, ProPublica) as workhorses; optional BYOK MCPs enhance coverage. Use when the user asks for background research, diligence, or meeting prep on a specific entity (e.g., 'prep me for a meeting with [person/company]', 'due diligence on [company]'). Honors sensitivity exclusions for journalism + personal-vetting contexts.

Inspects metadata, hidden channels, and appended payloads in media files to recover concealed data in steganography challenges.

Enable MIPI/GMSL camera sensors on a Jetson Thor or Orin custom carrier by rendering a kernel-DT overlay from the in-tree sensor DTSI.

Extracts and analyzes firmware images using binwalk to identify embedded filesystems, compressed archives, bootloaders, kernel images, and cryptographic material. Covers entropy analysis, recursive extraction, filesystem mounting, and string analysis for credential and configuration discovery.