Best AI GitHub Repos

Oracle AI Data Platform Workbench Spark connectors for Claude Code. 18 connector skills covering every data source workbench customers commonly need: Oracle Autonomous DB family (ALH/ADW/ATP) via wallet/IAM-DB-Token/API-key, ExaCS, Fusion ERP REST, Fusion BICC, EPM Cloud Planning, Essbase 21c, OCI Streaming (Kafka), OCI Object Storage, Apache Iceberg, plus external systems (PostgreSQL, MySQL/HeatWave, SQL Server, Snowflake, Azure ADLS Gen2, AWS S3, generic REST, custom JDBC, Excel). Live-validated on the workbench `tpcds` cluster (Spark 3.5.0): 17 PASS / 4 ship-as-is out of 21 test rows.

Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering scaffolding, debugging, evaluation, and credential management, plus a SessionStart hook that auto-loads Output SDK conventions so Claude understands the framework before the first prompt.

PayPal development plugin for Claude — integrate payments, subscriptions, invoices, disputes, and more using PayPal's APIs and MCP server

Analyze business data and build custom Pigment models, metrics, and boards through natural language.

The unified multimodal backend for AI data apps. Database, orchestration, and serving in one Python file.

Preset CLI skills for explicit shell, scripting, and CI/CD workflows driven by the `sup` CLI (PyPI package `superset-sup`). Use only for CLI workflows; do not use for MCP-only work or as a substitute for direct API calls when the user wants HTTP/SDK code.

# project-artifact Generate and publish a **living status page** for a project that's too big for one update — a migration, a launch, a research effort, anything with several workstreams tracked over time. The page is a single self-contained tabbed HTML file (overview & success criteria, the workstream sequence, an always-visible "Next steps" strip, plus background / plan / risks / FAQ tabs when they earn their place), published with Claude Code's built-in `Artifact` tool to a private `claude.a

How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.

Agent skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, and Java.

Qodo setup, code intelligence, and review workflows.

Optional Qodo rules discovery and standards administration workflows.

Agentic engineering skills for Qt software development — Qt C++/QML code review, QML coding, and Qt C++/QML code documentation.

MCP server for AI coding agents to create, manage, and interact with Quarkus applications. Provides tools for project scaffolding, dev mode lifecycle, extension skills, Dev MCP proxy, and documentation search.

# Receipts Generate a personal Claude Code impact report — "receipts" — from your own session transcripts, for the conversation where someone asks what all this Claude Code usage is actually buying. <img src="assets/sample-receipt.png" width="400" alt="A printed-receipt-styled report headed 'Claude Code — usage receipt, Morgan Lunt', covering 2026-06-21 to 2026-07-20, active on 28 of 30 days. It lists 40 sessions, 64 prompts, 14 files touched, 3,120 lines touched, 12 commits carrying that wo

Redis development best practices — data structures, query engine, vector search, caching, and performance optimization

Deploy, debug, and monitor applications on Render. Includes skills, an agent, slash commands, and a render.yaml validation hook.

Agent skills for working with Resend to send and receive emails — email API integration, agent inbox, CLI, React Email components, and deliverability best practices. Includes the Resend MCP server.

The fastest business intelligence tool for humans and agents.

Full-lifecycle incident management: deploy safety, incident response, on-call management, and retrospectives.

Video generation at scale. Generate videos, images, and audio with Runway's API — batch ad campaigns, product videos, multishot stories, and creative iteration. Supports seedance2, gen4.5, veo3, Nano, Banana Pro, and more.

Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.

Build Salesforce apps and agents using these core building blocks: metadata, Apex, deploy/retrieve, security, reporting, and generated installed-versus-available capability discovery.

Sanity Studio – Rapidly configure content workspaces powered by structured content

AI-assisted development of SAP Cloud Application Programming Model (CAP) projects. Search CDS models and CAP documentation.