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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.
Design and implement data lineage tracking across a data pipeline. Covers lineage capture strategies, metadata graphs, column-level lineage, impact analysis, and integration with dbt, Airflow, and OpenLineage.
Design and execute safe database migrations with zero downtime, rollback plans, and data validation. Outputs migration scripts, expand-contract patterns, backfill strategies, and cutover runbooks.
Design database and data lake partitioning strategies for scale, performance, and cost optimization. Outputs partitioning schemes, partition pruning patterns, maintenance procedures, and query optimization.
Design data retention policies covering deletion schedules, archival tiers, compliance requirements, and right-to-erasure workflows. Outputs retention schedules, automated deletion jobs, anonymization strategies, and audit trails.
Design and implement production-ready ETL/ELT pipelines for data warehousing and analytics. Covers extraction strategies, transformation logic, incremental loading, data quality, orchestration, schema evolution, and monitoring.
Design and implement a feature store for ML — centralized feature computation, storage, serving, and reuse across models. Outputs online/offline store architecture, feature pipelines, point-in-time joins, and serving API.
Fine-tune a pre-trained language model for a specific task. Covers dataset preparation, LoRA/QLoRA techniques, training configuration, evaluation, merging, and deployment of fine-tuned models.
Operationalize LLM-powered applications in production — covering prompt versioning, evaluation pipelines, cost tracking, latency monitoring, hallucination detection, and safe rollout of model upgrades.
Generate synthetic datasets for ML training, testing, and privacy-preserving data sharing. Outputs statistical generators, GAN-based synthesis, differential privacy techniques, and validation pipelines.
Design and implement a vector database for semantic search, RAG, and similarity lookups. Covers embedding strategy, index selection, query patterns, metadata filtering, and performance tuning.
Execute a structured security incident response from detection through post-incident review. Covers the PICERL lifecycle, severity classification, containment playbooks, evidence preservation, communication templates, and blameless post-mortems.
Plan a penetration test engagement for a web application, API, or infrastructure target. Produces scope definition, test methodology, rules of engagement, finding classification, and remediation SLAs.
Configure HTTP security headers to protect against XSS, clickjacking, MIME sniffing, and other browser-based attacks. Outputs CSP policies, HSTS, X-Frame-Options, and scanning/testing configuration.
Secure the software supply chain against dependency attacks, compromised pipelines, and malicious packages. Covers SBOM generation, dependency pinning, artifact signing, SLSA framework, secret scanning, and private registry configuration.
Design and implement zero-trust network architecture — never trust, always verify. Outputs identity-aware proxy config, mTLS policies, device trust enforcement, micro-segmentation rules, and continuous verification pipelines.
Design an API versioning strategy for a REST or GraphQL API. Covers version negotiation, deprecation lifecycle, migration guides, and backward compatibility rules.
Design a Change Data Capture (CDC) pipeline to stream database changes to downstream consumers. Outputs connector config, schema design, consumer patterns, ordering guarantees, and failure handling.
Implement Command Query Responsibility Segregation separating read and write models. Outputs command handlers, query handlers, read model synchronization, and eventual consistency patterns.
Design a horizontal database sharding strategy to scale beyond the limits of a single database node. Covers shard key selection, sharding strategies, cross-shard queries, rebalancing, and operational challenges.
Design load balancing architecture — algorithms, health checking, session affinity, layer 4 vs layer 7, geographic distribution, and failover strategies for high-availability services.
Design multi-tenant SaaS architecture with tenant isolation, data partitioning, resource quotas, and tenant-aware observability. Outputs isolation patterns, row-level security, schema provisioning, and quota enforcement.
Design distributed transactions using the Saga pattern to maintain data consistency across microservices without two-phase commit. Covers choreography vs orchestration, compensating transactions, failure handling, and implementation examples.
Use mutation testing to measure and improve the quality of a test suite. Covers mutation operators, interpreting mutation scores, fixing weak tests, and integrating mutation testing into CI with Stryker, PIT, or mutmut.
Design and implement a test data strategy that provides consistent, realistic, and isolated data for all test levels. Covers factories, fixtures, seeding, anonymisation, synthetic data, and database-per-test patterns.
Apply Test-Driven Development (TDD) to design and build production code. Outputs test suites, refactored implementations, and coverage strategies using the Red-Green-Refactor cycle.
Design an event-driven API strategy choosing between webhooks, Server-Sent Events, WebSockets, and polling. Covers delivery guarantees, retry logic, security, fan-out patterns, and tool selection.
Design and document REST APIs using the OpenAPI 3.1 specification — schemas, security definitions, response codes, examples, and SDK generation. Outputs complete OpenAPI specs, documentation, and validation tooling.
Design a statistically valid A/B test for a product feature or change. Produces a test plan with hypothesis, metrics, sample size calculation, risk assessment, and analysis plan.
Conduct a structured competitive analysis of a product or feature set. Produces a comparison matrix, positioning gaps, competitive strengths and weaknesses, and strategic recommendations.
Write a structured decision document (RFC, ADR, or decision memo) that captures context, options considered, tradeoffs, and rationale. Produces durable, searchable records of why key decisions were made.
Systematically analyze product feedback from multiple sources — support tickets, NPS responses, app reviews, user interviews, sales calls — into prioritized themes with evidence, signal strength ratings, and product action recommendations.
Plan and execute a product go-to-market strategy covering ICP definition, channel selection, messaging, launch sequencing, and success metrics. Covers PLG, sales-led, and hybrid motions.
Generate a comprehensive product launch checklist covering engineering, design, marketing, legal, support, and analytics readiness. Outputs a trackable launch plan with owners, dependencies, and go/no-go criteria.
Estimate the size of a market using top-down and bottom-up methods. Produces a TAM/SAM/SOM analysis with assumptions documented, sensitivity analysis, and business implications for go-to-market strategy.
Prepare for a product management meeting, including stakeholder alignment meetings, roadmap reviews, planning sessions, or executive updates. Produces an agenda, pre-read materials, and a facilitation guide.
Analyze a product or business metric, diagnose root causes, and produce a structured investigation report with hypotheses, supporting data, and recommended actions.
Write clear, measurable OKRs for product teams — objectives that inspire, key results that measure outcomes, and initiative mapping that connects work to results. Outputs draft OKRs with grading rubrics, check-in templates, and failure pattern analysis.
Create evidence-based user personas grounded in research — not fictional archetypes. Outputs persona profiles with jobs-to-be-done, behavioral patterns, pain points, workflow context, and product decision implications.
Write a complete Product Requirements Document from a feature idea or problem statement. Produces a structured PRD with goals, user stories, acceptance criteria, edge cases, and success metrics.
Design a product pricing strategy covering model selection, tier structure, value metric identification, packaging, and pricing research. Covers freemium, usage-based, per-seat, and enterprise packaging with worked examples.