ai-agents-architect
codexDesign VECTOR districts, multi-agent council, HP system, permission gateway patterns
Core VECTOR development skills: test runner, commit, district scaffold, modelfile manager, antigravity workflow
Plugin vector-core-skills in arghyadeep-deb/VECTOR. Commands read from the repo's manifest — 19 days ago.
No skills, commands, agents, hooks or MCP servers were found in the standard plugin folders.
Design VECTOR districts, multi-agent council, HP system, permission gateway patterns
asyncio patterns for VECTOR's autonomous loop, voice pipeline, and concurrent I/O
FastAPI async patterns for VECTOR's core/main.py and cloud API layer
LangGraph for VECTOR district pipelines, governance council graph, and RED-tier human-in-the-loop
LightRAG + nomic-embed-text + FTS5 hybrid search for VECTOR memory_curator
Agent skills for Azure SQL Developer, the Azure SQL Database engine running locally in a container. Teaches your agent to run the engine, connect, migrate, scaffold, build RAG, wire CI, and go local-to-cloud, using the real Private Preview image instead of the SQL Server image.
17 skills
LLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.4
8 skills · 3 commands · 3 agents
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
1 skill · 2 commands · 2 agents · hooks
Data lake, analytics, search, streaming, ETL, and orchestration workflows with S3 Tables, AWS Glue, Athena, Amazon Redshift, Amazon OpenSearch Service, Amazon MSK, Amazon Managed Service for Apache Flink, Amazon MWAA, and Amazon SageMaker Catalog. Covers managed Iceberg tables on S3 Tables, ingestion from JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS), Amazon Redshift, Snowflake, BigQuery, and DynamoDB, AWS Glue Data Catalog inventory and asset discovery, federated Athena queries, vector storage and semantic search on Amazon S3 Vectors, Amazon OpenSearch Service and Serverless (migration from Solr/Elasticsearch, provisioning, vector/semantic/hybrid search, log analytics, trace analytics), Amazon MSK Provisioned with Standard and Express brokers (cluster sizing, performance and consumer lag troubleshooting, topic management, MSK Replicator for disaster recovery and active-active replication, and Streaming Tables delivery to S3 Tables), migrating self-managed Apache Kafka to MSK Express, Apache Flink application development on Amazon Managed Service for Apache Flink, and Amazon MWAA Provisioned and MWAA Serverless (authoring, testing, and debugging DAGs and workflows, and Airflow version upgrades for provisioned environments), and Amazon SageMaker Catalog and AWS Glue Data Catalog curation (business descriptions, glossaries, metadata forms, publishing, and safe asset retirement) with subscription-based access requests, approvals, audits, and revocations.
18 skills · 1 MCP server
Declarative multimodal AI data engine for tables, computed columns, embedding search, agents, and FastAPI services.
1 skill · hooks
Oracle Database guidance for SQL, PL/SQL, SQLcl, ORDS, VECDB, administration, app development, performance, security, migrations, and agent-safe database workflows. Use when the user asks to write, edit, rewrite, review, format, debug, tune, or explain SQL; create or refactor PL/SQL; use SQLcl, Liquibase, ORDS, JDBC, node-oracledb, Python, Java, .NET, or database frameworks; use VECDB through the Python SDK, REST API, or DBMS_VECTOR_DATABASE package; troubleshoot queries, sessions, locks, waits, indexes, optimizer plans, AWR, ASH, migrations, schemas, users, roles, privileges, backup, recovery, Data Guard, RAC, multitenant, containers, monitoring, auditing, encryption, VPD, or safe agent database operations.
2 skills
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