Results for “ce”

Analyzes uploaded data files with full Python access, producing cleaned datasets, statistical reports, charts, and dashboards via the CellCog coding agent.

Guides integrating Teya's payment ecosystem, covering POSLink, All-In-One, E-Commerce APIs, and Payments Gateway with authentication, test cards, and certification steps.

Analyzes AWS CloudFront distributions, including cache hit ratios, origin health, SSL certificate status, and invalidation history, producing structured reports.

Query free LLM APIs from OpenRouter, Groq, Cerebras, Google AI, and Mistral, with commands to compare models and check status.

Evaluates central hypothyroidism (CH) patients for adrenal insufficiency (AI) prior to initiating levothyroxine (L‑T4) replacement. Triggers include consideration of L‑T4 start in central hypothyroidism needing thyroid replacement.

Deploy, manage, and govern MCP-based declarative agents in Microsoft 365 admin center with governance, assignments, and organizational distribution.

Generates CA and service certificates, then configures mutual TLS authentication between microservices using Python's cryptography and ssl modules.

Design an Azure AI gateway layer for centralized model routing, policy enforcement, and operational control. Use this skill when users ask about centralized AI traffic management, model governance, rate limiting, or gateway patterns.

Execute work efficiently while maintaining quality and finishing features

Navigate the Ethereum L2 landscape: Arbitrum, Optimism, Base, zkSync, Unichain, and Celo. Covers how they work, deployment, bridging, and selection criteria, including 2025–2026 updates.

Create, read, manipulate, and store annotated data matrices using the AnnData Python package, designed for single-cell genomics and general-purpose annotated data workflows.

Provides deep generative models for single-cell omics analysis, including probabilistic batch correction, transfer learning, differential expression, and multi-modal integration.

Centralize secrets management with HashiCorp Vault, including dynamic secret generation, transit encryption, PKI certificate management, and Kubernetes integration.

Recommends using the lowest tolerable hydrocortisone dose to potentially decrease risks of metabolic and cardiovascular disease in central adrenal insufficiency. Triggers include managing a patient with central adrenal insufficiency requiring glucocorticoid replacement.

Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identific...

Expert knowledge for Azure IoT Central development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing device templates, data export, IoT Edge gateways, REST/CLI automation, or IoT Central–to–IoT Hub migrations, and other Azure IoT Central related development tasks. Not for Azure IoT Hub (use azure-iot-hub), Azure IoT Edge (use azure-iot-edge), Azure IoT Operations (use azure-iot-operations), Azure Digital Twins (use azure-digital-twins).

Diagnoses and operates Kubernetes clusters: pods, deployments, ingress, HPA, PVC, StorageClass, NetworkPolicy, Secrets, Helm, ArgoCD, cert-manager. Reads before changing; mutations require confirmation and diff review.

Scans repositories for markdown and HTML documentation, classifies files as repo-local or centralizable content, generates an inventory report, and optionally consolidates content into a centralized docs repository.

Use to structure a Cell Article and hold its length — Summary, Introduction, Results, Discussion, STAR Methods, figure legends, references — with main-text length and display-item budgets, and Results subheadings driving the single arc.

Configure cenci's neutral project core and generate Claude/Codex adapters.

Resolve cenci's neutral project configuration and shared guidance consistently.

Provides structured coaching for founders and first-time CEOs, covering archetype identification, delegation frameworks, energy management, calendar audits, leadership evolution, and blind spot identification.

Builds an external attack surface management (EASM) program using Shodan, Censys, and ProjectDiscovery tools for asset discovery, subdomain enumeration, service fingerprinting, and exposure scoring.

Use to write Cell's Summary — a single unstructured paragraph of ≤ ~150 words that conveys the complete story, the mechanism, and the broad significance, quantified and readable by a general life-scientist. Late-stage polish.

RNA velocity analysis with scVelo. Estimate cell state transitions from unspliced/spliced mRNA dynamics, infer trajectory directions, compute latent time, and identify driver genes in single-cell RNA-seq data. Complements Scanpy/scVI-tools for trajectory inference.

This skill guides perioperative levothyroxine management for adults with preoperative central hypothyroidism undergoing non-emergency surgery. Trigger phrases include "preoperative central hypothyroidism patient requiring non-emergency surgery" and "use when managing preoperative CH patient".

Hardens Linux endpoints using CIS Benchmark recommendations for Ubuntu, RHEL, and CentOS to reduce attack surface, enforce security baselines, and meet compliance requirements.

Applies ISO/IEC 42001 to establish, audit, or certify an AI Management System, mapping controls to clauses 4-10 and producing governance plans.

Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.

Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.

Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.

Determines levothyroxine dosing for central hypothyroidism to achieve serum free T4 in the mid to upper half of the reference range. Triggers include confirmed central hypothyroidism requiring thyroid hormone replacement when initiating L‑4 therapy.

Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.

Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.

Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.

Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.