vector-search-patterns
Implementing semantic search and similarity search using vector embeddings and vector databases.
Browse published AI skills maintained by AmnadTaowsoam. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
417Repository stars across indexed skills
223Repository forks
0Average repository stars per indexed skill
1Repository stars may repeat across skills from the same repository.
Implementing semantic search and similarity search using vector embeddings and vector databases.
Comprehensive debugging strategies, tools, and techniques for efficiently identifying and fixing bugs across different environments.
Methods for determining the optimal resource allocation for compute, database, and network systems to balance cost and performance.
Implementing consumer-driven contract testing for microservices using Pact.
Zero-downtime patterns for production schema changes and large backfills, including expand/contract, batching, verification, and rollback strategies
Defining clear boundaries between systems, services, and modules to manage complexity and enable independent evolution.
Comprehensive guide to implementing Role-Based Access Control for enterprise applications with hierarchical roles, custom permissions, and multi-level access
See the main Budget Guardrails skill for comprehensive coverage of cost controls and governance.
Implementing formal agreements between data producers and consumers to ensure data reliability and stability.
Comprehensive guide to enterprise vendor onboarding processes, timelines, requirements, and strategies for accelerating customer acquisition
Protocols for efficiently identifying, retrieving, and combining relevant skills from the index to solve complex problems without context overload.
See the main Infrastructure Sizing skill for comprehensive coverage of right-sizing and autoscaling strategies.
Standard error response taxonomy and envelope for services, including error codes, categories, retryability, correlation IDs, safe messaging, and validation error details
Strategies for managing and reducing costs in LLM-powered applications, from token economics to RAG architectures.
Practical deployment strategies (rolling, blue-green, canary) for safe releases with rollback, health checks, and database compatibility guidance—without requiring full Kubernetes complexity
Comprehensive guide to backward compatibility rules for APIs, databases, and data contracts with migration strategies and testing approaches
See the main On-Call Playbooks skill for comprehensive runbook templates and examples.
Comprehensive guide to implementing audit trails and logging for AI agents including tracing, observability, compliance, and debugging
Systematic evaluation of architectural trade-offs to make informed decisions balancing competing concerns.
See the main Model Explainability skill for comprehensive XAI coverage.
A practical framework to map change dependencies and blast radius, including who/what is affected, what to test, rollout/rollback strategies, and stakeholder ownership
Systematic approach for breaking down complex, high-level requests into atomic, executable steps to ensure precision and prevent overwhelm.
Best practices for conducting effective code reviews that improve code quality, share knowledge, and maintain team standards.
Structured approach to deprecating features, APIs, and systems with clear timelines and migration paths.
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.