GitHub
severity-levels
Comprehensive guide to incident severity classification and response requirements
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
model-explainability-and-interpretability
Techniques and tools for understanding how machine learning models make decisions and explaining those decisions to stakeholders.
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skill-architect
The master skill for analyzing, designing, and standardizing the creation of new AI skills (Skill 72).
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api-style-guide
Organization-wide REST/GraphQL API conventions: URL and naming rules, versioning, pagination/filtering, status codes, authentication headers, and compatibility guidance
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security-scan-policy
Policy สำหรับ automated security scanning ใน CI/CD pipeline รวม dependency audit, SAST, และ secret detection
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triage-workflow
See the main Incident Triage skill for comprehensive triage workflows and procedures.
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contract-testing
Comprehensive guide to consumer-driven contract testing with Pact, bi-directional contracts, and integration with CI/CD pipelines
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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
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local-development-standard
Standardized local development environment setup ensuring consistency across team members and reducing "works on my machine" issues.
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agile-scrum
Comprehensive guide to Agile Scrum methodology including roles, ceremonies, artifacts, sprint planning, and best practices for iterative software development
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confidence-scoring
See the main Model Explainability skill for comprehensive coverage of confidence scoring and calibration.
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ai-data-privacy
Protecting personal and sensitive data throughout the machine learning lifecycle, from training to inference.
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hot-reload-and-fast-feedback-loops
Implementing fast feedback loops with hot reload, live reload, and rapid iteration to maximize developer productivity.
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usage-based-pricing
Architecture and implementation strategies for consumption-based billing models in SaaS products.
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service-standards-blueprint
SSOT blueprint for creating consistent services: folder structure, required endpoints, dependency conventions, interface contracts, docs/testing/security/observability requirements
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ai-agent-patterns
Design patterns for building autonomous AI agents that can reason, plan, and execute tasks.
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chaos-engineering
Systematic approach to testing system resilience through controlled failure injection and experimentation
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runbooks-ops
Comprehensive guide to creating operational runbooks including incident response, deployment procedures, troubleshooting guides, and on-call playbooks
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observability-packaging
Standardize and package logs, metrics, and traces into services by default using a lightweight stack and shared instrumentation with dashboards and alerting
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logging-redaction
Comprehensive guide to preventing PII and secrets from appearing in logs through redaction strategies, safe logging practices, and automated filtering.
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kubernetes-platform-engineering
Production Kubernetes platform patterns covering cluster architecture, security, GitOps, observability, autoscaling, and operational guardrails
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delivery-governance
Comprehensive guide to delivery governance including quality gates, standards, compliance, and balancing governance with agility
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cqrs-pattern
Implementing Command Query Responsibility Segregation for separating read and write operations in distributed systems.
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data-quality-rules
See the main Data Validation Rules skill for comprehensive coverage of data quality rule implementation.
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.