data-analysis
538
combinatorial-enumeration
Combinatorial object generation and counting
a5c-ai
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
data-analysis
538
recurrence-solver
Solve recurrence relations using multiple methods including Master Theorem and generating functions
a5c-ai
data-ai
data-engineering
538
value-stream-mapping
Create and analyze value stream maps with waste identification and process efficiency metrics
a5c-ai
data-ai
data-engineering
538
container-images
Docker and OCI container image expertise for building, optimizing, and securing container images
a5c-ai
data-ai
data-engineering
538
bpmn-generator
Generate and validate BPMN 2.0 diagrams from process descriptions
a5c-ai
data-ai
data-engineering
538
context-engineering
Dynamic context injection, mode switching (dev/review/research), selective loading, and strategic compaction for token optimization.
a5c-ai
data-ai
data-engineering
538
verification-suite
Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.
a5c-ai
data-ai
data-engineering
538
chroma-integration
Chroma local vector database setup and operations for development and production
a5c-ai
data-ai
data-engineering
538
haystack-pipeline
Haystack NLP pipeline configuration for document processing and QA
a5c-ai
data-ai
data-engineering
538
milvus-integration
Milvus distributed vector database configuration for large-scale RAG applications
a5c-ai
data-ai
data-engineering
538
rag-embedding-generation
Batch embedding generation with caching, rate limiting, and multiple provider support
a5c-ai
data-ai
data-engineering
538
rag-query-transformation
Query expansion, HyDE, and multi-query generation for improved retrieval
a5c-ai
data-ai
data-engineering
538
weaviate-integration
Weaviate vector database setup with GraphQL queries and hybrid search
a5c-ai
data-ai
data-engineering
538
advanced-ds-library
Provide implementations of advanced data structures
a5c-ai
data-ai
data-engineering
538
data-structure-selector
Select optimal data structure based on operation requirements
a5c-ai
data-ai
data-engineering
538
dp-state-designer
Assist in designing optimal DP states and transitions
a5c-ai
data-ai
data-engineering
538
cloud-cost-estimator
Estimate cloud costs for migration targets with resource sizing and optimization recommendations
a5c-ai
data-ai
data-engineering
538
containerization-assistant
Assist in containerizing applications with Dockerfile generation and optimization
a5c-ai
data-ai
data-engineering
538
dependency-scanner
Comprehensive dependency scanning, inventory generation, and SBOM creation for migration readiness assessment
a5c-ai
data-ai
data-engineering
538
etl-pipeline-builder
Build and manage ETL pipelines for data migration with transformation, CDC, and monitoring
a5c-ai
data-ai
data-engineering
538
logging-migrator
Migrate logging infrastructure with format standardization, structured logging, and aggregation setup
a5c-ai
data-ai
data-engineering
538
performance-baseline-capturer
Capture performance baselines before migration for regression comparison and SLA verification
a5c-ai
data-ai
data-engineering
538
schema-comparator
Compare database schemas between source and target environments for migration planning
a5c-ai
data-ai
data-engineering
538
gas-optimization
Advanced gas optimization techniques for EVM smart contracts. Covers storage packing, memory vs calldata optimization, assembly/Yul, efficient data structures, batch operations, and benchmark-driven optimization strategies.
a5c-ai
data-ai