GitHub
backfill-and-reconciliation-playbook
Playbook สำหรับ backfill historical data และ reconcile inconsistencies ระหว่าง data sources
Skills IA Tests et sécurité
Découvrez les skills Tests et sécurité, comparez leurs dépôts et consultez leurs instructions.
Catégories: Tests et sécurité
Tests et sécurité Effacer les filtres
Explorer
GitHub
sla-slo-and-slis
Comprehensive guide to Service Level Agreements, Objectives, and Indicators for measuring and maintaining system reliability
GitHub
cost-observability-and-monitoring
Techniques for gaining visibility into cloud spending, attributing costs to business units, and detecting financial anomalies.
GitHub
model-serving-inference
Comprehensive guide to deploying and serving LLM models including optimization, batching, caching, and production infrastructure
GitHub
access-audit-and-reviews
Comprehensive guide to access audits, periodic reviews, anomaly detection, and segregation of duties for compliance and security.
GitHub
retention-and-archival
Policy และ automation สำหรับ data retention, archival และ deletion ตาม compliance requirements
GitHub
prompting-patterns
Comprehensive guide to effective prompt engineering patterns including few-shot, chain-of-thought, ReAct, and advanced prompting techniques
GitHub
pii-detection
Comprehensive guide to detecting Personally Identifiable Information (PII) across systems, databases, and logs using regex patterns, NER models, and automated scanning tools.
GitHub
retrieval-playbook-for-ai
กลยุทธ์การ retrieve context ให้ AI อย่างมีประสิทธิภาพ - เลือกอะไร ไม่เลือกอะไร และจัดลำดับอย่างไร
GitHub
api-versioning-strategies
Comprehensive guide to API versioning approaches for maintaining backward compatibility.
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)
GitHub
severity-levels
Comprehensive guide to incident severity classification and response requirements
GitHub
model-explainability-and-interpretability
Techniques and tools for understanding how machine learning models make decisions and explaining those decisions to stakeholders.
GitHub
skill-architect
The master skill for analyzing, designing, and standardizing the creation of new AI skills (Skill 72).
GitHub
api-style-guide
Organization-wide REST/GraphQL API conventions: URL and naming rules, versioning, pagination/filtering, status codes, authentication headers, and compatibility guidance
GitHub
security-scan-policy
Policy สำหรับ automated security scanning ใน CI/CD pipeline รวม dependency audit, SAST, และ secret detection
GitHub
triage-workflow
See the main Incident Triage skill for comprehensive triage workflows and procedures.
GitHub
contract-testing
Comprehensive guide to consumer-driven contract testing with Pact, bi-directional contracts, and integration with CI/CD pipelines
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
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.
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.