GitHub
logging-metrics-tracing-standard
Observability standards for services: structured logging schema, metrics naming and label rules, trace context propagation, correlation IDs, sensitive-data handling, and cardinality controls
☆ 0查看技能
生活与效率 AI 技能
发现 生活与效率 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
分类目录: 生活与效率
生活与效率 清除筛选
全部技能
GitHub
docs-indexing-strategy
How to organize and index documentation for humans and AI: taxonomy, metadata, cross-linking, freshness reviews, and automated index generation
☆ 0查看技能
GitHub
developer-onboarding-documentation
Comprehensive onboarding documentation to get new developers productive quickly with clear guides, checklists, and resources.
☆ 0查看技能
GitHub
database-transactions
Comprehensive guide to database transactions, ACID properties, isolation levels, locking, and distributed transactions.
☆ 0查看技能
GitHub
incident-triage
Rapid assessment and initial response processes for production incidents
☆ 0查看技能
GitHub
data-quality-monitoring
Techniques and tools for ensuring the accuracy, completeness, and reliability of data across the pipeline.
☆ 0查看技能
GitHub
human-in-the-loop-workflows
Implementing human approval and review workflows for AI systems to ensure quality, safety, and compliance.
☆ 0查看技能
GitHub
multi-cloud-patterns
Architecture patterns and strategies for multi-cloud deployments to avoid vendor lock-in.
☆ 0查看技能
GitHub
dependency-mapping
Comprehensive guide to identifying, visualizing, and managing dependencies in complex projects to reduce risks and enable coordination
☆ 0查看技能
GitHub
connection-pooling
Implementing and optimizing database connection pools for high-performance applications.
☆ 0查看技能
GitHub
llm-judge-patterns
Comprehensive guide to using LLMs as judges for automated evaluation including prompt patterns, calibration, bias reduction, and multi-judge ensembles
☆ 0查看技能
GitHub
schema-management
Strategies for managing data structures, versioning, and evolutions across databases and event streams.
☆ 0查看技能
GitHub
repo-map-ssot
Single source of truth for repository structure and entry points, including key directories, domain boundaries, shared code, integrations, and build/deploy references
☆ 0查看技能
GitHub
lineage-and-provenance
See the main Data Lineage skill for comprehensive coverage of data lineage tracking and provenance.
☆ 0查看技能
GitHub
db-migration-generator
Generator สำหรับสร้าง database migration files พร้อม up/down scripts, validation และ rollback safety
☆ 0查看技能
GitHub
ground-truth-management
Comprehensive guide to creating, managing, and maintaining ground truth datasets for AI evaluation including annotation, quality control, and versioning
☆ 0查看技能
GitHub
bulkhead-patterns
Resource isolation strategies to prevent cascading failures and limit blast radius in distributed systems
☆ 0查看技能
GitHub
data-quality-checks-and-validation
Implementing comprehensive data quality checks across the data pipeline to ensure accuracy, completeness, and reliability.
☆ 0查看技能
GitHub
retry-timeout-backoff-strategies
Comprehensive guide to implementing robust retry logic, timeout handling, and backoff algorithms for resilient distributed systems
☆ 0查看技能
GitHub
ai-risk-assessment
Identifying, assessing, and mitigating risks in AI systems including bias, safety, privacy, security, and ethical concerns.
☆ 0查看技能
GitHub
endpoint-generator
Generator สำหรับสร้าง API endpoint พร้อม controller, service, repository, validation, tests และ documentation โดยอัตโนมัติ
☆ 0查看技能
GitHub
security-baseline-controls
Minimum security controls every service must implement: authentication/authorization, input validation, secrets management, security headers, dependency security, audit logging, and operational guardrails
☆ 0查看技能
GitHub
prompt-library-minimal
คลัง prompts แบบ minimal ที่ใช้ token น้อยที่สุดแต่ได้ผลลัพธ์ดี พร้อม templates และ best practices
☆ 0查看技能
GitHub
proposal-sow-delivery-management
Comprehensive guide to professional services delivery including proposal writing, SOW creation, pricing strategies, scope management, and client delivery
☆ 0查看技能
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。