Results for “ce”

Organize multi-project .NET repos with Directory.Build.props, Directory.Build.targets, Directory.Packages.props, and Directory.Build.rsp for centralized MSBuild settings and NuGet Central Package Management.

Single-cell RNA-seq analysis. Load .h5ad/10X data, QC, normalization, PCA/UMAP/t-SNE, Leiden clustering, marker genes, cell type annotation, trajectory, for scRNA-seq analysis.

Create or maintain STRATEGY.md - the product's target problem, approach, users, key metrics, and tracks of work. Use when starting a new product, updating direction, or when prompts like 'write our strategy', 'update the roadmap', 'what are we working on', or 'set up the strategy doc' come up. Also triggers when ce-ideate, ce-brainstorm, or ce-plan need upstream grounding and no strategy doc exists yet.

Manage secrets, cryptographic keys, and certificates in Azure Key Vault using the Python SDK.

Generates Excel formulas to convert times between time zones using a source time cell and an offset cell, handling positive and negative offsets.

Battery Management System reference — cell balancing, SOC estimation, thermal management, and protection circuits. Use when designing BMS for lithium-ion packs, evaluating battery safety, or understanding cell monitoring.

Single-cell RNA-seq analysis. Load .h5ad/10X data, QC, normalization, PCA/UMAP/t-SNE, Leiden clustering, marker genes, cell type annotation, trajectory, for scRNA-seq analysis.

Produces legally focused summaries of California Environmental Impact Reports (EIRs) under CEQA and federal Environmental Impact Statements (EISs) under NEPA. Extracts impacts, mitigation, alternatives, and compliance vulnerabilities. Reflects the 2025 CEQA reforms (AB 130 + SB 131) and the April 2025 rescission of CEQ NEPA implementing regulations. Triggers on requests for EIR/EIS summary, CEQA/NEPA review, mitigation analysis, alternatives analysis, cumulative impacts review, permit challenge prep, or administrative record review.

Creates .NET projects from templates with validated parameters, Central Package Management adaptation, and multi-project composition.

Single-cell RNA-seq analysis. Load .h5ad/10X data, QC, normalization, PCA/UMAP/t-SNE, Leiden clustering, marker genes, cell type annotation, trajectory, for scRNA-seq analysis.

Use to measure customer effort from behavioural signals instead of CES surveys, and to audit whether a composite effort score is honest. Trigger for "customer effort score", "behavioural CES", effort without survey, repeat contacts and channel switches, transfers and reopens, or "our CES doesn't match operational data".

Manage Azure API Center resources including APIs, versions, definitions, deployments, and metadata using the Python management SDK.

Manage Azure API Center resources including services, workspaces, APIs, versions, definitions, environments, and deployments using the .NET SDK.

Analyze single-cell RNA-seq data using Scanpy, including quality control, normalization, clustering, marker gene identification, and visualization.

Analyze single-cell RNA-seq data with Scanpy, covering quality control, normalization, dimensionality reduction, clustering, marker gene identification, and visualization.

Analyze single-cell RNA-seq data with Scanpy, covering quality control, normalization, 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, dimensionali

Manim CE animations: 3Blue1Brown math/algo videos.

Manim CE animations: 3Blue1Brown math/algo videos.

Manim CE animations: 3Blue1Brown math/algo videos.

Manim CE animations: 3Blue1Brown math/algo videos.

Conduct systematic access reviews and certifications to ensure users have appropriate access rights aligned with their roles, covering review campaign design, reviewer selection, risk-based prioritization, and remediation tracking for compliance with SOX, HIPAA, and PCI DSS.

Implements layered security for Flutter apps: code obfuscation, certificate pinning, secure storage, encryption, biometric authentication, and root/jailbreak detection.

Análise de RNA-seq de célula única. Carregue dados .h5ad/10X, QC, normalização, PCA/UMAP/t-SNE, clustering Leiden, genes marcadores, anotação de tipo celular, trajetória, para análise de scRNA-seq.

Django + Celery async task patterns — configuration, task design, beat scheduling, retries, canvas workflows, monitoring, and testing. Use when adding background jobs, scheduled tasks, or async processing to a Django app.

This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq, scATAC-seq, CITE-seq, spatial transcriptomics, and other single-cell modalities. Use this skill for probabilistic modeling, batch correction, dimensionality reduction, differential expression, cell type annotation, multimodal integration, and spatial analysis tasks.

Discover OPC UA servers and create client connections in MATLAB using opcuaserverinfo, opcua, connect, setSecurityModel, and certificate trust functions. Use when discovering OPC UA servers on the network, connecting to OPC UA servers, authenticating with username/password or certificates, configuring security modes, handling certificate trust errors, fixing hostname mismatch warnings, troubleshooting connection failures or empty discovery results, or inspecting an OPC UA certificate (.der or .pem) for compliance issues. Trigger on: opcuaserverinfo, OPC UA discovery, find OPC UA servers, LDS setup, opcua, opc.ua.Client, connect OPC UA, OPC UA client, OPC UA security, OPC UA certificate trust, OPC UA certificate inspection, setSecurityModel, opc.ua.trustServerCertificate, opc.ua.exportClientCertificate, Industrial Communication Toolbox, OPC UA server connection, OPC UA server discovery.

Guides internal and external ISMS audits for ISO 27001 compliance, including audit planning, control assessment, finding management, and certification support.

Build scalable Django 5.x applications with async views, DRF, Celery, and Channels, following best practices for architecture, testing, and deployment.

Run standard single-cell RNA-seq analysis pipelines: QC, normalization, dimensionality reduction, clustering, differential expression, and visualization using Scanpy.

Manages annotated data matrices for single-cell genomics, covering creation, I/O, concatenation, and manipulation of AnnData objects in h5ad and zarr formats.

Analyze single-cell RNA-seq data with Scanpy, covering quality control, normalization, clustering, marker gene identification, visualization, and trajectory analysis.

Analyze single-cell RNA-seq data with Scanpy, covering quality control, normalization, clustering, marker gene identification, visualization, and trajectory analysis.

Use to lock the single narrative arc before drafting — converts a set of correct results into one Cell-shaped story that runs hypothesis → mechanism → significance, not a list of experiments.

Audit Jupyter notebooks for hardcoded values that contradict configuration cells. Trigger when: (1) notebook behavior differs from documented settings, (2) updating notebook version, (3) finding inconsistent values across cells.

Scrum master — ceremonies, facilitation, impediments, retrospectives, metrics