skills.rest
mdresch
mdreschCOMMUNITY
Explore all skills by this author →
Website𝕏@MennoDreGitHub

ai-management-maintenance

Enforce database-first priority-based AI provider selection with Ollama fallback.

1|1|Updated Jul 20, 2025
Search Tags:#monitoring#analytics#orchestration#fallback#model-discovery#ai-providers#ai-management
One-click install
npx skills add https://github.com/mdresch/adpa --skill ai-management-maintenance
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-management-maintenance
Source: https://github.com/mdresch/adpa/tree/main/ai-management-maintenance
Command: npx skills add https://github.com/mdresch/adpa --skill ai-management-maintenance

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Maintains and troubleshoots the ADPA AI Management system to ensure reliable provider selection, robust fallbacks, and consistent analytics across deployments.

Core Features & Use Cases

  • Ensures a database-first, priority-based AI provider selection to honor custom configurations.
  • Enforces a mandatory Ollama fallback to local models for offline resilience.
  • Supports model discovery and synchronization workflows, including updating available_models and default_model, with backward-compatible configuration in JSONB.
  • Provides real-time analytics checks and maintenance procedures to keep dashboards accurate and responsive.

Quick Start

Configure a new AI provider in the admin console, verify that fallbacks trigger on simulated outages, and validate analytics data integrity.

Frequently Asked Questions about ai-management-maintenance

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure a database-first priority policy for AI provider selection?▼

Database-first AI provider selection enforces custom priority configurations by resolving models from a central database before applying fallbacks. This ensures custom configurations are honored consistently across deployments.

Why does my AI provider selection fail during network outages?▼

AI provider selection fails without offline resilience if no local fallback is configured. Enforcing a mandatory Ollama fallback to local models maintains service availability when external providers experience outages.

How does model discovery synchronization update available models?▼

Model discovery synchronization updates available_models and default_model entries using backward-compatible JSONB configuration. This maintains consistent model availability across your AI management system.

What is the best way to validate real-time AI usage analytics integrity?▼

Validating real-time AI usage analytics requires running maintenance procedures and integrity checks to verify dashboard data. This keeps analytics dashboards accurate and responsive across deployments.

Can I use JSONB configuration for backward-compatible AI model updates?▼

Yes, JSONB configuration supports backward-compatible model discovery and synchronization workflows. This allows updating available_models and default_model without breaking existing AI management configurations.

Related Skills

Explore More Software Engineering Skills→
javierhbrjavierhbr

postgres-code-review

Review PostgreSQL SQL for indexing, JSONB, connection, and transaction issues.

Community
Intermediate
haberlahhaberlah
8

gws-admin-reports

Fetch Google Workspace admin audit logs and usage reports via the gws admin-reports CLI.

Community
Intermediate
flag3flag3
1

clickhouse-io

Design and optimize ClickHouse analytics workloads with table engines, partitioning, and materialized views.

Community
Intermediate
xxihxxih
1

team-builder

Discover, select, and run multiple AI agents in parallel with aggregated results.

Community
Intermediate