Browse reusable instructions for your AI tools. Copy and customize a prompt, or download a skill for a supported agent.
Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.
Build automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates. Use when shipping agent features, validating prompt changes, or gating deployments on quality.
Instrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.
Secure AI agents against prompt injection, tool abuse, and data exfiltration with defense-in-depth controls.
Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.
Use verified service mesh patterns for AI inference traffic management, mTLS, canary releases, policy enforcement, and cross-cluster resilience.
Orchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster.
Run structured AI red team exercises for jailbreak resistance, data exfiltration risk, harmful output controls, and agent tool abuse resilience.
Harden AI/LLM deployments against prompt injection, data exfiltration, model theft, and supply chain attacks.
Build AI-focused SRE incident response practices for LLM outages, degraded quality, runaway cost events, and safety regressions.
Set up alerting rules, configure on-call rotations, and manage incident response workflows.
Implement GitOps with ArgoCD for declarative Kubernetes deployments.
Deploy Azure resources with ARM templates and Bicep. Create modular deployments and manage dependencies. Use when deploying Azure-native IaC.
Maintain IT asset inventory and configuration management database. Track hardware, software, and cloud resources. Use when managing IT assets.
Implement centralized audit logging and SIEM integration. Configure log retention and security monitoring. Use when implementing audit trail requirements.
Configure AWS CloudTrail for audit logging. Set up organization trails and event analysis. Use when auditing AWS activity.
Reduce AWS spend with rightsizing, autoscaling, commitment planning, and storage lifecycle policies. Use when running FinOps reviews, lowering cloud bills, or improving cost-per-request metrics.
Manage EC2 instances, AMIs, and auto-scaling groups. Configure security groups, key pairs, and instance types. Use when deploying compute resources on AWS.
Deploy containers on ECS and Fargate. Configure task definitions, services, and load balancing. Use when running containerized workloads on AWS.
Manage IAM users, roles, and policies. Implement least-privilege access and security best practices. Use when configuring AWS identity and access management.
Build and deploy serverless functions on AWS Lambda. Configure triggers, manage permissions, and optimize performance. Use when implementing serverless applications.
Provision and manage RDS databases. Configure backups, replication, and security. Use when deploying managed relational databases on AWS.
Configure S3 buckets, policies, and lifecycle rules. Implement versioning, replication, and security. Use when managing object storage on AWS.
Store and rotate secrets in AWS Secrets Manager.
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