← Files Aivana Database EngineerARCHIVED FILE
MARKETPLACE.md
2.7 KB · Oct 2, 2026 · 00:34 UTC
# Marketplace Submission Notes Aivana Database Engineer by [Aivana GmbH](https://www.aivana-gmbh.ai) is a Codex plugin for safety-governed SQL Server and PostgreSQL analysis, performance diagnostics, migration planning, and policy-controlled database operations. ## Marketplace Install Path Submit the plugin directory URL: ```text https://github.com/rweisssieker-xp/SQLSERVER-POSTGRES-Plugin/tree/master/plugins/sqlserver-postgres-performance-advisor ``` For a local checkout, use the Codex CLI: ```bash codex plugin marketplace add /absolute/path/to/SQLSERVER-POSTGRES-Plugin codex plugin add sqlserver-postgres-performance-advisor@sqlserver-postgres-plugin-marketplace ``` Replace the checkout path and open a new Codex task after installation. Run `npm ci` in the installed plugin directory before live database use. These instructions do not imply acceptance into a public marketplace. ## Required Manifest The marketplace scanner expects a plugin manifest at the repository root: ```text .codex-plugin/plugin.json ``` The nested plugin directory also keeps its local manifest for development: ```text plugins/sqlserver-postgres-performance-advisor/.codex-plugin/plugin.json ``` The submitted artifact must stay at or below the scanner file-count limit of 128 files. The repository keeps a compact marketplace skill set for submission while the runtime manifest remains the source of truth for executable tools. ## Safety Positioning This plugin is an advisor and governed operations layer. It is not a replacement for SSMS, DataGrip, dbForge, SSDT, Redgate SQL Prompt, SQL Sentry, or other IDE and monitoring suites. It focuses on deterministic advisory workflows, evidence packages, policy gates, rollback planning, and Codex skill orchestration. ## Disruptive AI Demo Positioning Default narrative: ```text Autonomous Database Operations without autonomous production risk. ``` Use `demos/enterprise-ai-usp-scenarios.json` for machine-readable marketplace demos and `demos/KILLER_DEMOS.md` for the curated talk track. The killer demos show unsafe prompt escalation, board-level operator briefings, cross-agent disagreement before a wrong index, and executive ROI storytelling while staying in closed-loop dry-run mode. The formal output expectations for the autonomous operator and AI cognitive control-plane tools are declared in `runtime/tool-contracts.json`. ## Marketing Assets Use `MARKETING.md` for launch-ready product messaging, buyer personas, USP matrix, competitive positioning, marketplace copy, landing-page copy, FAQ, pricing narrative, and launch blurb. Use `demos/SALES_PLAYBOOK.md` for discovery questions, qualification signals, demo sequencing, objection handling, follow-up email copy, and pilot success criteria.
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