GitHub
config-distribution
Patterns for distributing configuration and secrets to services safely and consistently across environments (env vars, config files, secret managers, K8s External Secrets, and change process)
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Lifestyle AI Skills
Discover Lifestyle skills, compare source repositories and read the instructions for each workflow.
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GitHub
severity-levels
Comprehensive guide to incident severity classification and response requirements
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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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GitHub
skill-architect
The master skill for analyzing, designing, and standardizing the creation of new AI skills (Skill 72).
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GitHub
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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GitHub
security-scan-policy
Policy สำหรับ automated security scanning ใน CI/CD pipeline รวม dependency audit, SAST, และ secret detection
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GitHub
triage-workflow
See the main Incident Triage skill for comprehensive triage workflows and procedures.
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GitHub
contract-testing
Comprehensive guide to consumer-driven contract testing with Pact, bi-directional contracts, and integration with CI/CD pipelines
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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
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GitHub
local-development-standard
Standardized local development environment setup ensuring consistency across team members and reducing "works on my machine" issues.
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GitHub
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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GitHub
confidence-scoring
See the main Model Explainability skill for comprehensive coverage of confidence scoring and calibration.
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GitHub
ai-data-privacy
Protecting personal and sensitive data throughout the machine learning lifecycle, from training to inference.
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GitHub
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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GitHub
usage-based-pricing
Architecture and implementation strategies for consumption-based billing models in SaaS products.
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GitHub
ai-agent-patterns
Design patterns for building autonomous AI agents that can reason, plan, and execute tasks.
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GitHub
runbooks-ops
Comprehensive guide to creating operational runbooks including incident response, deployment procedures, troubleshooting guides, and on-call playbooks
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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
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GitHub
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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GitHub
kubernetes-platform-engineering
Production Kubernetes platform patterns covering cluster architecture, security, GitOps, observability, autoscaling, and operational guardrails
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GitHub
delivery-governance
Comprehensive guide to delivery governance including quality gates, standards, compliance, and balancing governance with agility
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GitHub
data-quality-rules
See the main Data Validation Rules skill for comprehensive coverage of data quality rule implementation.
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GitHub
postmortem-analysis
Comprehensive guide to conducting blameless postmortems and learning from incidents to improve system reliability
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GitHub
retention-and-deletion
Comprehensive guide to data retention policies, deletion workflows, and implementing GDPR/CCPA right to erasure across distributed systems.
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