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SkillsMP has collected 529 skills from kalilurrahman/kr-claudiator-skills. Open a skill to review its source and details.
kalilurrahman/kr-claudiator-skillsShowing 40 of 529 collected skills.
Build a continuous product discovery practice that generates a steady stream of customer insights. Outputs weekly interview cadence, opportunity identification, assumption testing, and discovery-to-delivery connection.
Build and run a customer advisory board (CAB) that generates strategic product insights. Outputs member selection criteria, meeting structure, engagement model, and insight integration process.
Facilitate a 5-day design sprint to solve critical product challenges and validate ideas. Outputs sprint plan, facilitation guide, prototype templates, and user testing protocol.
Design and optimise product monetization models including pricing, packaging, and expansion revenue. Outputs pricing strategy, tier design, pricing experiments, and revenue forecasting.
Build and use Opportunity Solution Trees to connect product outcomes to customer opportunities and solutions. Outputs tree structure, prioritisation process, assumption mapping, and experiment design.
Develop a platform strategy that creates an ecosystem around your product. Outputs platform definition, ecosystem design, API strategy, marketplace model, and network effect cultivation.
Define a comprehensive product health dashboard tracking acquisition, engagement, retention, and quality. Outputs metric definitions, threshold setting, anomaly detection, and weekly review process.
Design and implement a product-led growth strategy where the product drives user acquisition, expansion, and retention. Outputs PLG model, activation metrics, viral loops, and freemium conversion strategy.
Design secure APIs with authentication, authorisation, input validation, rate limiting, and audit logging. Outputs security controls checklist, auth flow diagrams, and implementation patterns.
Design event-driven systems with producers, consumers, event schemas, and delivery guarantees. Outputs event catalog, topology diagram, schema contracts, and consumer group strategy.
Diagnose and resolve memory issues in production systems. Outputs heap analysis, leak detection strategies, GC tuning recommendations, and memory-efficient design patterns.
Structure and manage monorepos with multiple packages or services. Outputs workspace configuration, build pipeline, dependency graph, code ownership rules, and CI optimisation strategy.
Design serverless architectures with functions, managed services, and event triggers. Outputs function decomposition, cold start mitigation, cost model, and IaC templates for AWS Lambda or similar.
Model complex workflows as explicit state machines. Outputs state diagrams, transition tables, guard conditions, and production-ready implementations with audit trails.
Plan infrastructure capacity for current and future load. Outputs resource projections, scaling thresholds, cost forecasts, and capacity headroom recommendations.
Harden container images and Kubernetes workloads against attacks. Outputs secure Dockerfile patterns, admission policies, runtime security rules, and vulnerability scanning pipeline.
Test Terraform, Pulumi, and CloudFormation infrastructure code before deployment. Outputs unit tests, integration tests, compliance checks, and CI pipeline for IaC validation.
Design multi-cloud architectures for resilience, cost optimisation, or vendor independence. Outputs cloud placement decisions, abstraction layer strategy, data sovereignty approach, and operational model.
Design and implement Kubernetes NetworkPolicies and cloud security groups for zero-trust network segmentation. Outputs policy definitions, traffic flow diagrams, and validation tests.
Write SRE runbooks for incident response, on-call procedures, and service recovery. Outputs structured runbooks with SLOs, alert response playbooks, escalation paths, and post-incident templates.
Establish data governance frameworks covering ownership, quality standards, access control, and compliance. Outputs governance policy, data stewardship model, classification scheme, and audit procedures.
Design a data mesh architecture with domain ownership, data products, and federated governance. Outputs domain decomposition, data product contracts, self-serve platform requirements, and migration plan.
Test data pipelines for correctness, reliability, and data quality. Outputs unit tests for transformations, integration tests for pipeline runs, data contract tests, and CI strategy.
Design a lakehouse combining data lake flexibility with warehouse query performance. Outputs layer architecture, table format selection, partition strategy, and access control model.
Design a company-wide metrics framework with north star, input metrics, guardrails, and reporting hierarchy. Outputs metric taxonomy, definition docs, instrumentation spec, and anomaly detection rules.
Build real-time analytics pipelines with sub-second query latency. Outputs streaming architecture, OLAP store selection, aggregation strategy, and dashboard update patterns.
Design and implement LLM-powered agentic workflows with tool use, planning, memory, and multi-agent coordination. Outputs agent architecture, tool definitions, evaluation framework, and safety controls.
Evaluate AI systems for safety, robustness, and alignment. Outputs red team test suites, safety benchmarks, harm classification rubrics, and monitoring dashboards for production AI deployments.
Design embedding pipelines for semantic search, RAG, and recommendation systems. Outputs model selection, chunking strategy, index configuration, and retrieval evaluation framework.
Design and implement an LLM gateway for routing, rate limiting, cost control, caching, and observability across multiple AI providers. Outputs gateway architecture, routing rules, and operational runbook.
Validate training and inference data for ML pipelines. Outputs schema contracts, statistical validation rules, drift detection, and data quality gates before model training.
Write comprehensive model cards documenting ML model capabilities, limitations, biases, and intended use. Outputs structured model card following Google/Hugging Face standards with evaluation results.
Conduct a structured security audit of APIs. Outputs OWASP API Top 10 assessment, vulnerability findings with severity ratings, remediation recommendations, and executive summary.
Assess and improve cloud security posture across AWS, GCP, or Azure. Outputs CSPM findings, misconfiguration remediation, IAM least-privilege analysis, and continuous monitoring setup.
Build and maintain compliance programmes for SOC 2, ISO 27001, GDPR, HIPAA, or PCI DSS. Outputs control mapping, evidence collection procedures, gap analysis, and audit readiness checklist.
Build security gates into CI/CD pipelines. Outputs SAST, DAST, dependency scanning, secret detection, and container scanning pipeline with triage workflow.
Design and implement automated secrets rotation for credentials, API keys, and certificates. Outputs rotation architecture, Lambda/script implementations, zero-downtime rotation procedures, and monitoring.
Implement bulkhead patterns to isolate failures and prevent cascade. Outputs thread pool isolation, semaphore limits, service partition designs, and circuit breaker integration.
Design data replication strategies for high availability, read scaling, and disaster recovery. Outputs replication topology, consistency model, failover procedures, and lag monitoring setup.
Design distributed caching with Redis or Memcached. Outputs cache topology, eviction strategy, invalidation patterns, consistency model, and failure handling.