Results for “sca”

Deterministic pixel art upscaling using EPX/Scale2x, hq2x/hq4x, and xBR algorithms that add valid sub-pixels through pattern recognition. Activate on 'pixel art scaling', 'EPX', 'Scale2x', 'hq2x', 'hq4x', 'xBR', 'retro game upscaling'. NOT for AI/ML upscaling, photo enlargement, or simple nearest-neighbor.

CLI for Google OSV database. Query vulnerabilities for packages, scan local projects for vulnerable dependencies. **Dependency**: This is an x-cmd module. Install x-cmd first (see x-cmd skill). **Required Tool**: Install osv-scanner for project scanning (see https://github.com/google/osv-scanner).

Scan Kubernetes resource manifests with Kubesec to identify misconfigurations, privilege escalation risks, and deviations from security best practices.

Design scalable distributed systems using structured approaches for load balancing, caching, database scaling, and message queues.

Runs OWASP ZAP security scans against web applications using Java or Docker, with setup guidance and links to upstream documentation.

Scaling Laws for Neural Language Models

TRAK: Attributing Model Behavior at Scale

Nocaps: Novel Object Captioning at Scale

SVIT: Scaling up Visual Instruction Tuning

Masked Autoencoders Are Scalable Vision Learners

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

Run authenticated vulnerability scans using valid credentials to deeply inspect target systems for missing patches, misconfigurations, and security weaknesses.

Automates security scanning for Infrastructure as Code templates using Checkov, tfsec, and KICS to detect misconfigurations before deployment.

Creates modular typography scales with size, weight, and line-height relationships for consistent digital interfaces.

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.

Diagnoses Qdrant capacity needs and guides horizontal scaling decisions, including node count, shard count, replication factor, and resharding trade-offs.

Scans Cosmos SDK blockchain modules and CosmWasm contracts for consensus-critical vulnerabilities such as chain halts, fund loss, and state divergence.

Scaffolds a coder-eval task suite in a repository by scanning for testable components, writing one real task, and validating it.

Scans agent skills for security issues including prompt injection, malicious scripts, excessive permissions, secret exposure, and supply chain risks.

Scaling Vision with Sparse Mixture of Experts

CapsFusion: Rethinking Image-Text Data at Scale

Scaling Vision Transformers to 22 Billion Parameters

ImageNet: A Large-Scale Hierarchical Image Database

Polishes existing motion against the transitions.dev motion-token scale by auditing duration, distance, scale, blur, and easing values and suggesting token-based corrections.

Automated security auditing covering SAST, DAST, dependency scanning, secret detection, container hardening, and compliance checks before deployments or when integrating new dependencies.

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...

Scan project dependencies for known vulnerabilities, generate software bills of materials, and enforce license compliance across the software supply chain. Use when the user requests dependency scanning or provides relevant inputs for this workflow.

DevSecOps IA — Expert en intégration sécurité dans les pipelines CI/CD (SAST, DAST, SCA, container scanning, compliance automation)

Expert en DevSecOps avancé (SAST, DAST, SCA, container scanning, policy-as-code, GitGuardian, supply chain security, SBOM)

Check all outreach channels for replies using Chrome DevTools MCP. Scans Zoho webmail, LinkedIn messaging, and Instagram DMs.

Use to surface fraud, scam and financial-crime signals that customers describe to support before detection systems see them, and to check whether agents recognised and routed them. Trigger for "are customers reporting scams", "new scam pattern targeting our customers", "did we spot the fraud signals", authorised push payment scams, "customer was coached by someone on the phone", or fraud reports arriving through support.

Scan Docker images for vulnerabilities, misconfigurations, secrets, and license violations using Trivy, with CI/CD integration and policy enforcement.

Audits a codebase for scalability bottlenecks, flagging N+1 queries, missing indexes, unbounded result sets, blocking operations, and memory pressure, then outputs a prioritized fix list.

Runs standard single-cell RNA-seq analysis with Scanpy, covering QC, normalization, dimensionality reduction, clustering, marker identification, visualization, and conversion of R single-cell formats to h5ad.

Scans root uv.lock and package-lock.json files with the pinned osv-scanner CLI and emits deterministic advisory records. Opt-in: copy this directory into <home>/skills/dependency-advisory-watch/ and install osv-scanner.