GitHub
contract-testing-with-pact
Implementing consumer-driven contract testing for microservices using Pact.
AmnadTaowsoam AI Skills
GitHub ↗Explorez les skills IA publiés de AmnadTaowsoam et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
417Étoiles des dépôts des skills indexés
223Forks du dépôt
0Moyenne des étoiles par skill indexé
1Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
cqrs-pattern
Implementing Command Query Responsibility Segregation for separating read and write operations in distributed systems.
GitHub
chaos-engineering-for-iot
Building resilience in IoT systems through controlled fault injection and failure testing
GitHub
retry-timeout-backoff-strategies
Comprehensive guide to implementing robust retry logic, timeout handling, and backoff algorithms for resilient distributed systems
GitHub
deprecation-policy
Structured approach to deprecating features, APIs, and systems with clear timelines and migration paths.
GitHub
versioning-strategy
API and system versioning strategies to enable evolution while maintaining backward compatibility.
GitHub
schema-drift-detection
Detecting and managing schema changes that can break data pipelines and downstream consumers.
GitHub
data-preprocessing
Comprehensive guide for data preprocessing patterns in ML, covering data cleaning, feature engineering, normalization, and pipeline creation.
GitHub
data-visualization
Creating effective data visualizations using charts, graphs, and visual representations to communicate insights clearly and accurately following Tufte and Few principles.
GitHub
experiment-design
Comprehensive guide to A/B testing, multivariate testing, statistical significance, and experiment analysis for data-driven product decisions
GitHub
game-analytics
Tracking player behavior and game performance through metrics, event tracking, funnel analysis, retention metrics, and integration with analytics platforms for data-driven game development.
GitHub
ab-testing-analysis
Running controlled experiments comparing two variants to determine which performs better for specific metrics, with statistical significance testing and data-driven decision making.
GitHub
competitive-intelligence
Gathering, analyzing, and acting on competitive intelligence for strategic advantage
GitHub
cloud-unit-economics
Financial analysis of cloud infrastructure costs, unit economics modeling, and profitability optimization for SaaS products
GitHub
infrastructure-sizing-and-capacity-planning
Methods for determining the optimal resource allocation for compute, database, and network systems to balance cost and performance.
GitHub
usage-based-pricing
Dynamic pricing models that charge customers based on actual usage rather than fixed subscriptions
GitHub
cost-guardrails
See the main Budget Guardrails skill for comprehensive coverage of cost controls and governance.
GitHub
data-retention-and-archiving
Strategies for managing the lifecycle of data to balance storage costs, system performance, and legal compliance.
GitHub
cost-observability-and-monitoring
Techniques for gaining visibility into cloud spending, attributing costs to business units, and detecting financial anomalies.
GitHub
security-audit
Systematic examination of an organization's security controls, policies, and procedures to identify vulnerabilities, assess compliance, validate controls, and ensure security standards are met.
GitHub
validation-metrics
Comprehensive guide to choosing and tracking validation metrics that prove product-market fit and drive actionable insights
GitHub
pii-policy-enforcement
Policy และ mechanisms สำหรับ detect, classify และ protect PII data ใน data platform
GitHub
model-risk-management
Identifying, assessing, and mitigating risks associated with the use of machine learning models in business processes.
GitHub
cloud-cost-models
Comprehensive guide to cloud pricing models, cost structures, and optimization strategies across major providers.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.