القائمة
Skills في هذا المستودع
جمع SkillsMP عدد ٥٢٩ من skills من kalilurrahman/kr-claudiator-skills. افتح أي skill لمراجعة مصدره وتفاصيله.
kalilurrahman/kr-claudiator-skillsعرض ٤٠ من أصل ٥٢٩ skills مجمعة.
Implement FinOps practices to optimise cloud spend without sacrificing performance. Outputs cost allocation strategy, savings recommendations, tagging taxonomy, and budgeting framework.
لغة النص الأصلي: الإنجليزية
Harden Kubernetes clusters with RBAC, pod security, network policies, and supply chain controls. Outputs security baseline, admission policies, audit configuration, and hardening checklist.
لغة النص الأصلي: الإنجليزية
Design and operate an effective on-call rotation. Outputs rotation schedule, escalation policies, alert routing rules, on-call handbook, and well-being guidelines.
لغة النص الأصلي: الإنجليزية
Design an Internal Developer Platform (IDP) that reduces cognitive load for engineers. Outputs platform capabilities, golden paths, self-service workflows, and adoption strategy.
لغة النص الأصلي: الإنجليزية
Implement progressive delivery strategies including canary releases, feature flags, and traffic splitting. Outputs deployment pipeline, rollout configuration, automated rollback triggers, and observability requirements.
لغة النص الأصلي: الإنجليزية
Design a release management process for coordinated, low-risk software releases. Outputs release workflow, change approval process, rollback procedures, and communication templates.
لغة النص الأصلي: الإنجليزية
Implement service discovery for dynamic microservice environments. Outputs discovery patterns, DNS vs registry approaches, health check design, and client-side load balancing.
لغة النص الأصلي: الإنجليزية
Define Service Level Objectives and manage error budgets for reliability engineering. Outputs SLI/SLO definitions, error budget calculations, burn rate alerts, and reliability review process.
لغة النص الأصلي: الإنجليزية
Secure the software supply chain from source code to production deployment. Outputs SLSA compliance controls, artifact signing, dependency vetting, and provenance attestation pipeline.
لغة النص الأصلي: الإنجليزية
Deploy WebAssembly workloads for edge computing, plugin systems, and portable compute. Outputs WASM runtime selection, compilation pipeline, deployment patterns, and security sandboxing.
لغة النص الأصلي: الإنجليزية
Build cohort analyses to understand user retention, behaviour over time, and revenue patterns. Outputs cohort SQL queries, retention visualisations, revenue cohorts, and actionable insights.
لغة النص الأصلي: الإنجليزية
Build customer segmentation models for personalisation, targeting, and lifecycle management. Outputs RFM analysis, behavioural clustering, segment SQL, and activation playbooks.
لغة النص الأصلي: الإنجليزية
Design data enrichment pipelines that augment first-party data with external sources. Outputs enrichment strategy, provider evaluation, pipeline design, match rate optimisation, and quality controls.
لغة النص الأصلي: الإنجليزية
Implement data virtualisation to query distributed data sources without moving data. Outputs virtual layer design, query federation strategy, performance optimisation, and governance approach.
لغة النص الأصلي: الإنجليزية
Apply dbt best practices for scalable, maintainable analytics engineering. Outputs project structure, naming conventions, testing strategy, documentation standards, and CI/CD pipeline.
لغة النص الأصلي: الإنجليزية
Build production dbt projects with best practices for modelling, testing, documentation, and performance. Outputs project structure, model patterns, macro library, and CI configuration.
لغة النص الأصلي: الإنجليزية
Design a comprehensive event tracking plan for product analytics. Outputs event taxonomy, tracking spec, implementation guide, and governance process.
لغة النص الأصلي: الإنجليزية
Build an internal experimentation platform for running A/B tests at scale. Outputs experiment service architecture, assignment engine, metric pipeline, and statistical analysis framework.
لغة النص الأصلي: الإنجليزية
Analyse feature flag experiments to measure impact on key metrics. Outputs statistical test selection, sample size calculation, results interpretation, and ship/no-ship decision framework.
لغة النص الأصلي: الإنجليزية
Build time-series forecasting models for business metrics. Outputs model selection framework, Prophet/ARIMA implementation, evaluation methodology, production serving pattern, and uncertainty quantification.
لغة النص الأصلي: الإنجليزية
Build conversion funnel analyses to identify drop-off points and optimisation opportunities. Outputs funnel SQL queries, drop-off attribution, segment comparison, and experiment prioritisation.
لغة النص الأصلي: الإنجليزية
Build product analytics infrastructure to understand user behaviour, feature adoption, and business outcomes. Outputs event taxonomy, funnel analysis, retention queries, and reporting infrastructure.
لغة النص الأصلي: الإنجليزية
Build revenue analytics systems tracking MRR, ARR, churn, expansion, and cohort revenue. Outputs revenue recognition logic, MRR waterfall analysis, LTV calculation, and forecasting models.
لغة النص الأصلي: الإنجليزية
Analyse and model time series data for forecasting, anomaly detection, and trend analysis. Outputs decomposition approach, forecasting model selection, evaluation metrics, and production pipeline.
لغة النص الأصلي: الإنجليزية
Design AI-powered products that are useful, trustworthy, and safe. Outputs capability-first design process, failure mode analysis, human-in-the-loop patterns, and evaluation framework.
لغة النص الأصلي: الإنجليزية
Design comprehensive testing strategies for AI-powered features and LLM applications. Outputs test taxonomy, evaluation harness, regression suite, human evaluation protocol, and CI integration.
لغة النص الأصلي: الإنجليزية
Optimise LLM context windows for long-document processing, multi-turn conversations, and token efficiency. Outputs chunking strategies, compression techniques, and memory management patterns.
لغة النص الأصلي: الإنجليزية
Build RAG systems enhanced with knowledge graphs for multi-hop reasoning and relationship queries. Outputs graph schema, hybrid retrieval pipeline, and query routing strategy.
لغة النص الأصلي: الإنجليزية
Implement caching strategies for LLM applications to reduce costs and latency. Outputs exact cache, semantic cache, prompt cache, and KV cache configurations with measurement.
لغة النص الأصلي: الإنجليزية
Manage LLM context windows effectively for long conversations, document processing, and complex tasks. Outputs context budgeting, summarisation strategies, retrieval injection, and memory patterns.
لغة النص الأصلي: الإنجليزية
Prepare high-quality datasets for LLM fine-tuning. Outputs data collection strategy, formatting standards, quality filtering pipeline, deduplication, and evaluation split design.
لغة النص الأصلي: الإنجليزية
Route LLM requests to the optimal model based on complexity, cost, and latency. Outputs routing logic, model selection criteria, cost-quality tradeoffs, and fallback chains.
لغة النص الأصلي: الإنجليزية
Reliably extract structured data from LLM responses using function calling, JSON mode, and validation. Outputs schema definitions, extraction patterns, retry logic, and parsing pipelines.
لغة النص الأصلي: الإنجليزية
Select the most predictive features for ML models to improve accuracy and reduce overfitting. Outputs filter, wrapper, and embedded selection methods with validation strategy.
لغة النص الأصلي: الإنجليزية
Compress and optimise ML models for production deployment. Outputs quantisation, pruning, and distillation approaches with size-accuracy tradeoff analysis.
لغة النص الأصلي: الإنجليزية
Plan and execute model fine-tuning to improve performance on domain-specific tasks. Outputs fine-tuning decision framework, dataset preparation guidelines, evaluation strategy, and deployment plan.
لغة النص الأصلي: الإنجليزية
Design and deploy ML model serving infrastructure for low-latency production inference. Outputs serving architecture, batching strategy, scaling configuration, and SLO monitoring.
لغة النص الأصلي: الإنجليزية
Design and orchestrate multi-agent AI systems with specialist agents, coordination patterns, and shared memory. Outputs agent topology, communication protocol, error handling, and evaluation framework.
لغة النص الأصلي: الإنجليزية
Defend LLM-powered applications against prompt injection attacks. Outputs threat model, input/output sanitisation, privilege separation, detection patterns, and monitoring strategy.
لغة النص الأصلي: الإنجليزية
Evaluate and improve RAG (Retrieval Augmented Generation) pipeline quality. Outputs retrieval evaluation metrics, answer quality benchmarks, end-to-end evaluation framework, and improvement roadmap.
لغة النص الأصلي: الإنجليزية