Results for “sca”

Set up NVIDIA infrastructure for synthetic data generation on MicroK8s or Azure AKS. Coordinate Kubernetes, inference services, and OSMO workflow execution, with prerequisite checks, deployment validation, capacity planning, and failure investigation before workloads are retried.

• Set up a synthetic data generation environment on MicroK8s
• Deploy an Azure AKS environment with OSMO and inference services
• Check GPU quotas and capacity before scaling

Set up a NVIDIA Holoscan Sensor Bridge demo for the selected development kit. The workflow configures the host, builds and launches the demo container, checks board connectivity and FPGA version, and reports issues encountered.

• Setting up an HSB demo on a supported development kit
• Building and launching the demo container
• Checking board connectivity and FPGA version

Build Holoscan SDK 5.x from a selected tag, commit, or development branch using its run wrapper. Check prerequisites, choose build options, preserve existing changes, and verify the result with example tests for SDK development or Early Access features.

• Building unpublished Early Access features
• Building and testing a modified SDK checkout
• Creating debug or C++-only builds

Use when writing or editing Simscape Language (.ssc) source files — components, domains, or functions. Triggers include: model a physical component in .ssc; write physical equations for a Simscape block; add or modify physics or parameterization options in a Simscape component; build a composite component. Also use for validating .ssc syntax, fixing Simscape Language errors, or converting governing equations into working Simscape component code. Do NOT use for configuring or connecting existing Simscape blocks in a Simulink model — that is model building, not language authoring.

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Use when running or explaining the ClawScan CLI, including one-off agent-skill scans, benchmark runs, scanner fixtures, judge harness commands, env var validation, and interpreting clawscan-run-v1 and clawscan-benchmark-v1 artifacts.

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Design escalation path -- Tier 1 to Tier 2 to Engineering handoff, decision criteria, and communication templates. Use when asked to "design our escalation process", "when should support escalate to engineering", "build an escalation runbook", or "reduce escalation rate".

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Scan the current market landscape and produce a ground-truth ecosystem snapshot. Chains /last30days for live research, validates with user, and writes brand/landscape.md with a Claims Blacklist that hard-gates all content generation. Use when: "landscape", "ecosystem", "market snapshot", "ground truth", "what's happening", "refresh landscape", "market trends", or before any content campaign to verify claims.

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Security scanner for AI Agent skills, plugins, and MCP servers. Use when: user asks to scan a skill, check if a plugin is safe, vet an MCP server, review skill security, detect malicious code, supply chain safety, or says 'is this safe to install', 'scan this skill', 'check this MCP server', 'security scan', 'vetting', 'skill safety', 'prism scan', '安全扫描', '这个插件安全吗', '扫描一下', '检查安全性', '安装前检查', '技能审查'.

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Manages scaling for GKE workloads using HPA and VPA. Use when configuring Horizontal Pod Autoscaler (HPA), configuring Vertical Pod Autoscaler (VPA), or applying best practices for GKE workload autoscaling. Do not use for cluster-level autoscaling (Cluster Autoscaler), static cluster sizing, or configuring node-level machine styles directly.

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ScalarDB Analytics設計エージェント - ScalarDB Analyticsを使用した分析基盤の設計。Apache Sparkベースの分析クエリ、マルチDB横断分析を策定。/design-scalardb-analytics [対象パス] で呼び出し。

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Use when working with Trivy — trivy comprehensive security scanner. Covers container image scanning, filesystem scanning, Kubernetes cluster scanning, SBOM generation, secret detection, license scanning, and misconfiguration detection. Use when scanning containers for vulnerabilities, generating SBOMs, scanning K8s clusters, or detecting misconfigurations.

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ScalarDB Analytics設計エージェント - ScalarDB Analyticsを使用した分析基盤の設計。Apache Sparkベースの分析クエリ、マルチDB横断分析を策定。/design-scalardb-analytics [対象パス] で呼び出し。

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ScalarDBエディション選定エージェント - 対話形式で最適なScalarDBエディション（OSS/Enterprise Standard/Premium）を選定。/select-scalardb-edition で呼び出し。

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ScalarDBコード生成エージェント - 設計仕様からScalarDB/Spring Bootのコードを自動生成。エンティティ、リポジトリ、サービス、コントローラーを出力。/generate-scalardb-code [対象パス] で呼び出し。

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Set up Strix security checks in CI/CD to test pull request changes, report verified vulnerabilities, and gate merges. Covers both a CLI running on your own infrastructure and a managed service with pull request comments.

• Check pull request changes for vulnerabilities before merging
• Add Strix scans to GitHub Actions or GitLab CI
• Choose between managed reviews and scans on your own runners

Design scene transitions and animated text using matched movement direction and speed across cuts. The catalog provides concrete settings for zooms, blur, word-by-word transitions, staggered entrances, and repositioning groups of elements.

• Connect scenes with matching motion
• Transition between headlines word by word
• Bring title elements in with staggered timing

Reduce data with many features into fewer dimensions using UMAP. Create 2D or 3D views, prepare inputs for clustering, compare parameter settings, and project new samples while checking whether the results remain stable and meaningful.

• Visualizing data with many features in 2D or 3D
• Preparing reduced features for HDBSCAN clustering
• Guiding dimensionality reduction with partial labels

Scan a codebase or selected changes for security issues, then request targeted patch files for findings. Independent agents verify reported issues and proposed fixes, while you review and apply patches yourself.

• Auditing an entire repository or a selected area
• Checking security issues in branch or pull request changes
• Scanning a single commit

Scan a codebase to create project documentation and project-specific agent instructions. The first run examines the whole project; later runs focus on changed files, with human confirmation required before updating agent instructions after architectural changes.

• Create documentation when starting agent-assisted development
• Refresh project documentation after architecture changes
• Check changed code for documentation drift

Investigate attempts to gain higher privileges on Windows and Linux using endpoint and security logs. Guide hypothesis testing, evidence analysis, false-positive checks, and reporting to help assess suspicious privilege changes and the scope of a compromise.

• Hunting for signs of privilege escalation
• Investigating alerts about suspicious privilege changes
• Assessing compromise scope during incident response

Configure Zscaler Private Access to replace VPN access with access to specific internal applications. The skill covers connectors, application groups, identity and device checks, browser access, and logging for deployment and migration reviews.

• Migrating remote access from VPN to ZPA
• Limiting application access by user group and device condition
• Providing contractors with browser access to approved applications

Analyze threat intelligence stored in MISP, a platform for sharing security threat data. Summarize event counts, indicator types, attacker groups, and trends over time to create a threat landscape report for a chosen period.

• Create a threat landscape report for the past 90 days
• Summarize attacker activity and frequently tagged attack techniques
• Track changes in submitted threat indicator types and volumes

Audit MCP servers, which provide external tools to AI agents, for hidden instructions, changes after approval, unsafe internal requests, and missing authentication. Use mcp-scan and manual checks to document risks and recommended fixes.

• Reviewing an MCP server before adding it to an agent
• Auditing an internally developed MCP server
• Checking approved tools for unexpected changes

Audit Kubernetes access rules to find excessive permissions and service account token abuse paths. Trace which users or workloads could gain cluster administrator access, then produce prioritized findings and recommendations for reducing permissions.

• Reviewing Kubernetes privilege escalation paths
• Checking permissions after an RBAC change
• Tracing workloads with overprivileged service accounts