Security First
Skills with the best security audit scores
Showing 8,461–8,520 of 13,205 skills · Page 142 of 221
fcakyon / create-pr
1.2kThis skill should be used when user asks to "create a PR", "make a pull request", "open PR for this branch", "submit changes as PR", "push and create PR", or explicitly invokes "create-pr".
matlab / building-simulink-models
1.1kBuilds and edits Simulink, System Composer, Stateflow, and Simscape models
matlab / configuring-block-policy
1.1kGuide users through creating and managing .satk/block-policy.json for controlling which blocks the agent can use, which are excluded, and which block parameters the agent should not modify
matlab / specifying-plant-models
1.1kSpecify plant models for closed-loop simulation: system specs, architecture, build plans, validation plans
MoizIbnYousaf / curate-a-team-library
1.1kUse when building a managed team skills library for a real stack. Map work to shelves, browse before curating, write meaningful `whyHere` notes, and create a starter pack once the first pass is solid.
MoizIbnYousaf / migrate-skills-between-libraries
1.1kUse when moving skills between library workspaces or upgrading from a personal library to a team library. Export from one workspace, import into another.
gamedev-skills / unity-build-pipeline
1.1kBuild and ship Unity 6.3 LTS players: build settings and scenes, player/quality settings, the IL2CPP vs Mono scripting backend, managed code stripping, scripted BuildPipeline.BuildPlayer, and CI/headless builds
gamedev-skills / unity-tilemap-2d
1.1kBuild and script 2D tilemaps in Unity 6.3 LTS: the Grid + Tilemap components, the Tile Palette, tilemap colliders, rule tiles, and runtime SetTile/GetTile painting
gamedev-skills / unreal-enhanced-input
1.1kSet up player input in Unreal Engine 5 with Enhanced Input: Input Actions, Input Mapping Contexts, modifiers and triggers, adding the mapping context, and binding actions by ETriggerEvent
gamedev-skills / unreal-packaging
1.1kPackage and ship an Unreal Engine 5 project: the Platforms menu Package Project flow, build configurations (Development vs Shipping), cooking content, packaging settings and the Game Default Map, and command-line builds with RunUAT BuildCookRun
TencentCloudBase / cloudbase-code-review
1.1kCode review and validation for CloudBase projects. After writing code for Web / miniprogram / CloudRun / cloud-function projects, call this skill to check for known pitfalls — auth guard misuse, missing database tables, RLS misconfiguration, storage domain setup, and SDK API misuse.
TencentCloudBase / spec-workflow
1.1kUse when medium-to-large changes need explicit requirements, technical design, and task planning before implementation, especially for multi-module work, unclear acceptance criteria, or architecture-heavy requests.
adithya-s-k / manimgl-best-practices
1.1kTrigger when: (1) User mentions "manimgl" or "ManimGL" or "3b1b manim", (2) Code contains `from manimlib import *`, (3) User runs `manimgl` CLI commands, (4) Working with InteractiveScene, self.frame, self.embed(), ShowCreation(), or ManimGL-specific patterns.
higgsfield-ai / higgsfield-soul-id
1.1kTrain a Soul Character — a personalized model on a person's face that Higgsfield uses for identity-faithful image and video generation.
BagelHole / ai-pipeline-orchestration
1.1kOrchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster. Build reliable, observable, and retriable workflows for production AI systems.
BagelHole / ai-sre-incident-response
1.1kBuild AI-focused SRE incident response practices for LLM outages, degraded quality, runaway cost events, and safety regressions.
BagelHole / llm-caching
1.1kImplement multi-layer LLM caching with exact match, semantic similarity, and provider-side prompt caching. Reduce API costs by 30–70%, cut latency, and improve throughput using Redis, GPTCache, and provider caching APIs.
BagelHole / llm-cost-optimization
1.1kReduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and self-hosting strategies. Track spend by team and model, set budgets, and implement cost-aware routing.
BagelHole / azure-devops
1.1kSet up Azure Pipelines for CI/CD, configure build and release pipelines, manage Azure DevOps projects, and integrate with Azure services
BagelHole / circleci
1.1kConfigure CircleCI workflows and orbs for continuous integration and deployment. Create config.yml pipelines, use orbs for reusable configurations, and optimize build performance
BagelHole / github-actions
1.1kBuild, test, and deploy applications using GitHub Actions workflows. Create CI/CD pipelines, configure runners, manage secrets, and automate software delivery
BagelHole / container-registries
1.1kManage container registries including ECR, ACR, GCR, and Docker Hub. Push and pull images, configure authentication, set up repository policies, and implement image lifecycle management
BagelHole / docker-compose
1.1kDefine and run multi-container Docker applications using Docker Compose. Create compose files, manage service dependencies, configure networks and volumes, and orchestrate local development environments
BagelHole / docker-management
1.1kBuild, optimize, and troubleshoot Docker containers and images. Create efficient Dockerfiles, manage container lifecycle, configure networking and volumes, and debug container issues
BagelHole / podman
1.1kManage containers using Podman, the daemonless container engine. Run rootless containers, create pods, manage images, and use Docker-compatible commands
BagelHole / devcontainers-nix
1.1kCreate reproducible development environments with Dev Containers, Nix flakes, and Devbox for consistent toolchains across teams
BagelHole / datadog
1.1kImplement Datadog monitoring and APM for infrastructure and applications. Configure agents, create dashboards, set up alerts, and implement distributed tracing
BagelHole / elk-stack
1.1kDeploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis. Configure log pipelines, create visualizations, and implement log-based monitoring
BagelHole / loki-logging
1.1kConfigure Grafana Loki for log aggregation and analysis. Set up Promtail for log collection, write LogQL queries, and integrate with Grafana for visualization
BagelHole / new-relic
1.1kConfigure New Relic observability platform for infrastructure and application monitoring. Set up APM agents, create dashboards, configure alerts, and implement distributed tracing
BagelHole / prometheus-grafana
1.1kSet up metrics collection and visualization with Prometheus and Grafana. Configure scrape targets, create PromQL queries, build dashboards, and implement alerting
BagelHole / argocd-gitops
1.1kImplement GitOps with ArgoCD for declarative Kubernetes deployments. Configure applications, manage sync policies, implement progressive delivery, and automate deployments from Git repositories
BagelHole / helm-charts
1.1kCreate, manage, and deploy Helm charts for Kubernetes package management. Build reusable chart templates, manage releases, configure values, and use Helm repositories
BagelHole / kubernetes-ops
1.1kDeploy, scale, and manage Kubernetes workloads. Create deployments, services, and configurations, manage cluster resources, troubleshoot pods, and implement production-ready Kubernetes patterns
BagelHole / kustomize
1.1kCustomize Kubernetes manifests without templating using Kustomize. Create base configurations with environment overlays, manage configuration variants, and patch resources declaratively
BagelHole / model-serving-kubernetes
1.1kDeploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server. Includes canary deployments, autoscaling, model versioning, A/B testing, and GPU resource management for production model serving.
BagelHole / openshift
1.1kManage Red Hat OpenShift clusters and deployments. Configure projects, routes, builds, and deploy applications using OpenShift-specific features
BagelHole / blue-green-deploy
1.1kConfigure zero-downtime deployment strategies including blue-green, canary, and rolling deployments. Implement traffic shifting, health checks, and rollback procedures
BagelHole / feature-flags
1.1kImplement feature flags for progressive feature rollout using LaunchDarkly, Unleash, or custom solutions. Control feature visibility, perform A/B testing, and enable trunk-based development
BagelHole / git-workflow
1.1kImplement Git branching strategies, PR workflows, and release management patterns. Configure GitFlow, trunk-based development, or GitHub Flow for team collaboration
BagelHole / semantic-versioning
1.1kAutomate versioning and changelog generation using semantic versioning principles. Configure release automation, version bumping, and changelog tools
BagelHole / vector-database-ops
1.1kDeploy, manage, and optimize vector databases for AI applications. Covers Qdrant, Weaviate, pgvector, and Pinecone — collection management, indexing strategies, backup, and performance tuning for production RAG and semantic search workloads.
BagelHole / llm-fine-tuning
1.1kSet up infrastructure for fine-tuning LLMs with QLoRA, LoRA, and full fine-tuning using Hugging Face TRL, Axolotl, and distributed training with DeepSpeed or FSDP. Covers dataset prep, training runs, and model export.
BagelHole / llm-inference-scaling
1.1kAuto-scale LLM inference clusters on Kubernetes using KEDA, custom GPU metrics, and horizontal pod autoscaling. Handle traffic spikes, implement queue-based scaling, and optimize cost with spot instances for AI workloads.
BagelHole / rag-infrastructure
1.1kBuild and operate Retrieval-Augmented Generation (RAG) infrastructure with vector stores, embedding pipelines, and hybrid search. Covers ingestion, chunking strategies, reranking, and production deployment patterns.
BagelHole / vllm-server
1.1kDeploy and manage vLLM for high-throughput LLM inference. Configure continuous batching, tensor parallelism, quantization, and OpenAI-compatible API endpoints for production LLM serving.
BagelHole / ai-inference-service-mesh
1.1kUse service mesh patterns for AI inference traffic management, mTLS, canary releases, policy enforcement, and cross-cluster resilience.
BagelHole / llm-gateway
1.1kDeploy an API gateway for LLM traffic with load balancing, rate limiting, key management, semantic caching, fallback routing, and cost tracking. Covers LiteLLM Proxy, OpenRouter-compatible setup, and custom Nginx/Traefik patterns.
BagelHole / vercel-deployments
1.1kDeploy frontend and full-stack apps on Vercel with previews, edge functions, environment promotion, and production guardrails
BagelHole / gpu-server-management
1.1kSet up and manage NVIDIA GPU servers for AI workloads — driver installation, CUDA toolkit, container toolkit, MIG partitioning, GPU health monitoring, and multi-GPU configuration for LLM inference and training.
BagelHole / ai-security-hardening
1.1kHarden AI/LLM deployments against prompt injection, data exfiltration, model theft, and supply chain attacks. Covers input validation, output filtering, access control, model API security, and compliance controls for production AI systems.
BagelHole / zero-trust
1.1kImplement zero-trust network architecture. Configure identity-based access, micro-segmentation, and continuous verification
BagelHole / container-scanning
1.1kScan container images for vulnerabilities using Trivy, Grype, and cloud-native tools. Identify security issues in base images, packages, and configurations
BagelHole / dast-scanning
1.1kPerform dynamic application security testing with OWASP ZAP, Burp Suite, and Nikto. Test running applications for security vulnerabilities through automated and manual testing
BagelHole / dependency-scanning
1.1kScan package dependencies for known vulnerabilities using Snyk, Dependabot, and OWASP Dependency-Check. Identify and remediate vulnerable libraries in your software supply chain
BagelHole / sast-scanning
1.1kPerform static application security testing with tools like Semgrep, CodeQL, and SonarQube. Identify security vulnerabilities in source code before deployment
BagelHole / vulnerability-scanning
1.1kScan systems and dependencies for CVEs and security vulnerabilities. Use tools like Nessus, OpenVAS, and Qualys to identify and prioritize vulnerabilities
matlab / matlab-list-products
1.1kShow all installed MATLAB products and support packages for a given MATLAB installation folder
agentlas-ai / hephaestus-cloud
1.1kUse when the user types /hep-cloud or /agentlas-cloud, or asks to staff from THEIR OWN Agentlas cloud packages only. Cloud is one exact source scope; Network means Local + owner Cloud + public Hub.
agentlas-ai / hephaestus-upload
1.1kUse when the user types $hephaestus-upload, /hep-upload, or /agentlas-upload, or asks to upload, publish, or list an Agentlas agent or team. Ask Cloud (private) vs Agentlas Hub (public) FIRST, then publish through the bundled Hephaestus gate.