12,240 skills found · Page 292 of 408
BagelHole / llmops-platform-engineeringBuild production LLMOps platforms with CI/CD, model promotion workflows, evaluation gates, rollback, and governance across cloud and self-hosted inference.
BagelHole / model-registry-governanceEstablish model registry standards, governance controls, metadata schemas, approvals, and lifecycle policies for enterprise AI deployments.
BagelHole / rag-observability-evalsMonitor and evaluate RAG systems with retrieval quality metrics, groundedness checks, hallucination detection, and continuous regression testing.
BagelHole / alerting-oncallSet up alerting rules, configure on-call rotations, and manage incident response workflows. Integrate with PagerDuty, Opsgenie, or Grafana OnCall for alert routing and escalation
BagelHole / ebpf-observabilityUse eBPF for deep kernel-level observability — trace syscalls, network flows, and application behavior without code changes using Cilium, Tetragon, and bpftrace.
BagelHole / platform-engineeringBuild internal developer platforms (IDPs) with self-service infrastructure, golden paths, and developer portals using Backstage, Crossplane, and score.
BagelHole / mdm-device-managementManage and secure company devices with MDM solutions — enroll macOS, Windows, iOS, and Android devices, enforce security policies, and automate software deployment
BagelHole / saas-security-postureAudit and harden your SaaS tool stack — enforce SSO, review OAuth grants, manage shadow IT, and secure admin accounts across Slack, GitHub, Google Workspace, and AWS
BagelHole / gpu-kubernetes-operationsOperate GPU-backed Kubernetes clusters for AI inference and training with scheduling, autoscaling, node health, MIG partitioning, and cost controls.
BagelHole / multi-tenant-llm-hostingDesign secure, multi-tenant LLM hosting platforms with tenant isolation, quotas, billing attribution, noisy-neighbor protection, and per-tenant policy controls.
BagelHole / ai-coding-agent-guardrailsSecure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.
BagelHole / ai-red-teamingRun structured AI red team exercises for jailbreak resistance, data exfiltration risk, harmful output controls, and agent tool abuse resilience.
BagelHole / mcp-server-securitySecure Model Context Protocol (MCP) servers with transport encryption, tool authorization, input validation, and audit logging for safe AI agent integrations.
BagelHole / model-supply-chain-securitySecure the AI model supply chain with artifact signing, provenance attestation, SBOM workflows, dependency controls, and trusted model promotion.
BagelHole / prompt-injection-defenseDefend AI systems against prompt injection and indirect prompt attacks using input controls, tool permissions, output validation, and isolation boundaries.
BagelHole / windows-hardeningHarden Windows servers per security baselines and CIS benchmarks. Configure Group Policy, Windows Defender, and security features
BagelHole / ssl-tls-managementManage SSL/TLS certificates with Let's Encrypt and internal PKI. Configure secure HTTPS, certificate renewal, and cipher suites
BagelHole / incident-responseHandle security incidents with IR playbooks and procedures. Implement detection, containment, eradication, and recovery processes
BagelHole / supply-chain-attack-responseDetect, respond to, and prevent software supply chain attacks on package registries, container images, and CI/CD pipelines with lockfile auditing, provenance verification, and emergency response playbooks.
BagelHole / aws-secrets-managerStore and rotate secrets in AWS Secrets Manager. Configure automatic rotation, access policies, and application integration
BagelHole / azure-keyvaultManage secrets and certificates in Azure Key Vault. Configure access policies, integrate with Azure services, and implement secure secret management
BagelHole / ai-pipeline-orchestrationOrchestrate 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-responseBuild AI-focused SRE incident response practices for LLM outages, degraded quality, runaway cost events, and safety regressions.
BagelHole / llm-cachingImplement 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-optimizationReduce 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-devopsSet up Azure Pipelines for CI/CD, configure build and release pipelines, manage Azure DevOps projects, and integrate with Azure services
BagelHole / circleciConfigure CircleCI workflows and orbs for continuous integration and deployment. Create config.yml pipelines, use orbs for reusable configurations, and optimize build performance
BagelHole / github-actionsBuild, test, and deploy applications using GitHub Actions workflows. Create CI/CD pipelines, configure runners, manage secrets, and automate software delivery
BagelHole / container-registriesManage 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-composeDefine and run multi-container Docker applications using Docker Compose. Create compose files, manage service dependencies, configure networks and volumes, and orchestrate local development environments
