Discover Lifestyle skills, compare source repositories and read the instructions for each workflow.
Observability standards for services: structured logging schema, metrics naming and label rules, trace context propagation, correlation IDs, sensitive-data handling, and cardinality controls
How to organize and index documentation for humans and AI: taxonomy, metadata, cross-linking, freshness reviews, and automated index generation
Comprehensive onboarding documentation to get new developers productive quickly with clear guides, checklists, and resources.
Comprehensive guide to database transactions, ACID properties, isolation levels, locking, and distributed transactions.
Rapid assessment and initial response processes for production incidents
Techniques and tools for ensuring the accuracy, completeness, and reliability of data across the pipeline.
Implementing human approval and review workflows for AI systems to ensure quality, safety, and compliance.
Architecture patterns and strategies for multi-cloud deployments to avoid vendor lock-in.
Comprehensive guide to identifying, visualizing, and managing dependencies in complex projects to reduce risks and enable coordination
Implementing and optimizing database connection pools for high-performance applications.
Comprehensive guide to using LLMs as judges for automated evaluation including prompt patterns, calibration, bias reduction, and multi-judge ensembles
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 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.
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
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.