tenant-aware-ops
Operational patterns for multi-tenant systems: tenant-safe debugging and monitoring, per-tenant maintenance and migrations, fairness controls, and compliance-aware access
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Operational patterns for multi-tenant systems: tenant-safe debugging and monitoring, per-tenant maintenance and migrations, fairness controls, and compliance-aware access
Comprehensive guide to using LLMs as judges for automated evaluation including prompt patterns, calibration, bias reduction, and multi-judge ensembles
Structured process for reviewing and validating architectural decisions before implementation to catch issues early.
Strategies for managing data structures, versioning, and evolutions across databases and event streams.
Single source of truth for repository structure and entry points, including key directories, domain boundaries, shared code, integrations, and build/deploy references
See the main Data Lineage skill for comprehensive coverage of data lineage tracking and provenance.
Generator สำหรับสร้าง database migration files พร้อม up/down scripts, validation และ rollback safety
Comprehensive guide to creating, managing, and maintaining ground truth datasets for AI evaluation including annotation, quality control, and versioning
Resource isolation strategies to prevent cascading failures and limit blast radius in distributed systems
Implementing event sourcing pattern for maintaining application state as a sequence of immutable events.
Implementing comprehensive data quality checks across the data pipeline to ensure accuracy, completeness, and reliability.
Comprehensive guide to implementing robust retry logic, timeout handling, and backoff algorithms for resilient distributed systems
Identifying, assessing, and mitigating risks in AI systems including bias, safety, privacy, security, and ethical concerns.
Protocols for the agent to autonomously detect failures, analyze root causes, and attempt recovery strategies before requesting user intervention.
Generator สำหรับสร้าง API endpoint พร้อม controller, service, repository, validation, tests และ documentation โดยอัตโนมัติ
Minimum security controls every service must implement: authentication/authorization, input validation, secrets management, security headers, dependency security, audit logging, and operational guardrails
คลัง prompts แบบ minimal ที่ใช้ token น้อยที่สุดแต่ได้ผลลัพธ์ดี พร้อม templates และ best practices
Comprehensive guide to professional services delivery including proposal writing, SOW creation, pricing strategies, scope management, and client delivery
Centralized management of machine learning models throughout their lifecycle, including versioning, metadata, and production deployment.
Systematic approach to choosing technologies, frameworks, and tools based on requirements, team capabilities, and long-term sustainability.
See the main LLM Cost Optimization skill for comprehensive coverage of token economics and optimization strategies.
Comprehensive guide to gRPC for high-performance microservices communication with Protocol Buffers.
Documenting significant architectural decisions with context, consequences, and rationale for future reference.
A quick lookup guide for navigating a repository: where to find endpoints, business logic, models, tests, configs, docs, scripts, plus search patterns and commands
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。