GitHub
offline-vs-online-evaluation
Comprehensive guide to offline and online evaluation strategies including A/B testing, shadow mode, canary deployments, and bridging offline-online metrics
Skills IA Documentation
Découvrez les skills Documentation, comparez leurs dépôts et consultez leurs instructions.
Catégories: Documentation
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Explorer
GitHub
local-development-standard
Standardized local development environment setup ensuring consistency across team members and reducing "works on my machine" issues.
GitHub
agile-scrum
Comprehensive guide to Agile Scrum methodology including roles, ceremonies, artifacts, sprint planning, and best practices for iterative software development
GitHub
confidence-scoring
See the main Model Explainability skill for comprehensive coverage of confidence scoring and calibration.
GitHub
ai-data-privacy
Protecting personal and sensitive data throughout the machine learning lifecycle, from training to inference.
GitHub
hot-reload-and-fast-feedback-loops
Implementing fast feedback loops with hot reload, live reload, and rapid iteration to maximize developer productivity.
GitHub
usage-based-pricing
Architecture and implementation strategies for consumption-based billing models in SaaS products.
GitHub
service-standards-blueprint
SSOT blueprint for creating consistent services: folder structure, required endpoints, dependency conventions, interface contracts, docs/testing/security/observability requirements
GitHub
ai-agent-patterns
Design patterns for building autonomous AI agents that can reason, plan, and execute tasks.
GitHub
chaos-engineering
Systematic approach to testing system resilience through controlled failure injection and experimentation
GitHub
runbooks-ops
Comprehensive guide to creating operational runbooks including incident response, deployment procedures, troubleshooting guides, and on-call playbooks
GitHub
observability-packaging
Standardize and package logs, metrics, and traces into services by default using a lightweight stack and shared instrumentation with dashboards and alerting
GitHub
logging-redaction
Comprehensive guide to preventing PII and secrets from appearing in logs through redaction strategies, safe logging practices, and automated filtering.
GitHub
kubernetes-platform-engineering
Production Kubernetes platform patterns covering cluster architecture, security, GitOps, observability, autoscaling, and operational guardrails
GitHub
delivery-governance
Comprehensive guide to delivery governance including quality gates, standards, compliance, and balancing governance with agility
GitHub
cqrs-pattern
Implementing Command Query Responsibility Segregation for separating read and write operations in distributed systems.
GitHub
data-quality-rules
See the main Data Validation Rules skill for comprehensive coverage of data quality rule implementation.
GitHub
postmortem-analysis
Comprehensive guide to conducting blameless postmortems and learning from incidents to improve system reliability
GitHub
retention-and-deletion
Comprehensive guide to data retention policies, deletion workflows, and implementing GDPR/CCPA right to erasure across distributed systems.
GitHub
lakehouse-patterns
Comprehensive guide to data lakehouse architecture combining data lake flexibility with data warehouse performance using Delta Lake, Iceberg, and Hudi
GitHub
data-validation-rules
Implementing comprehensive validation rules across database, application, and pipeline layers to ensure data integrity.
GitHub
security-questionnaires
Comprehensive guide to handling enterprise security questionnaires, building standard response libraries, and streamlining the vendor assessment process
GitHub
graphql-best-practices
Comprehensive guide to GraphQL API design, schema design, resolvers, performance optimization, and security.
GitHub
state-machines-with-xstate
Implementing robust state management using finite state machines and statecharts with XState.
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.