Rom Iluz

cc-p4p v1.0.0 - The Intelligent Orchestrator for Product Managers

MongoDB best practices skills for AI coding agents: schema design, query/index optimization, search, AI/vector search, and transaction consistency.

cc10x v10.1.2 - Competition-grade Claude Code plugin with sharper prompt contracts, decision-grade planning, adversarial plan gates, proof-oriented BUILD, stable workflow UUIDs, versioned v10 state, advisory internal skills, fail-closed memory persistence, and latency-safe verifier telemetry

Orchestrated PM workflows with smart routing (SPEC/RESEARCH/ROADMAP/COMMUNICATE), persistent memory, evidence-based verification, and bundled PM domain expertise.

MongoDB best practices with 153 rules across 5 skills: Schema Design (30 rules), Query & Index Optimization (46 rules), Search (24 rules), Vector Search/AI (33 rules), and Transactions/Consistency (20 rules). Covers anti-patterns, data modeling, indexing, aggregation, search relevance, vector search, RAG, transaction retries, and ACID consistency patterns.

Trust-first Claude Code plugin with specialized subagents, composable skills, agreement-first planning, TDD-first phase execution, adversarial review, BDD-style verification, proof-of-work workflow artifacts, plugin-native hooks, and optional user-configured Bright Data/Octocode research acceleration.

MongoDB best practices with 153 rules across 5 skills: Schema Design (30 rules), Query & Index Optimization (46 rules), Search (24 rules), Vector Search/AI (33 rules), and Transactions/Consistency (20 rules). Covers anti-patterns, data modeling, indexing, aggregation, search relevance, vector search, RAG, transaction retries, and ACID consistency patterns.

MongoDB best practices with 153 rules across 5 skills: Schema Design (30 rules), Query & Index Optimization (46 rules), Search (24 rules), Vector Search/AI (33 rules), and Transactions/Consistency (20 rules). Covers anti-patterns, data modeling, indexing, aggregation, search relevance, vector search, RAG, transaction retries, and ACID consistency patterns.

MongoDB best practices with 153 rules across 5 skills: Schema Design (30 rules), Query & Index Optimization (46 rules), Search (24 rules), Vector Search/AI (33 rules), and Transactions/Consistency (20 rules). Covers anti-patterns, data modeling, indexing, aggregation, search relevance, vector search, RAG, transaction retries, and ACID consistency patterns.

MongoDB best practices with 153 rules across 5 skills: Schema Design (30 rules), Query & Index Optimization (46 rules), Search (24 rules), Vector Search/AI (33 rules), and Transactions/Consistency (20 rules). Covers anti-patterns, data modeling, indexing, aggregation, search relevance, vector search, RAG, transaction retries, and ACID consistency patterns.

MongoDB best practices with 153 rules across 5 skills: Schema Design (30 rules), Query & Index Optimization (46 rules), Search (24 rules), Vector Search/AI (33 rules), and Transactions/Consistency (20 rules). Covers anti-patterns, data modeling, indexing, aggregation, search relevance, vector search, RAG, transaction retries, and ACID consistency patterns.