Hook Claude Code
Runs before the agent uses a tool for Bash, Edit and Write tool calls, executing generate_entity_index.py with --no-verify (5 commands). From open-metadata/OpenMetadata.
Hook Claude Code
Runs after a tool call finishes for Edit and Write tool calls, running an inline shell check. From open-metadata/OpenMetadata.
Settings file Claude Code
Agent settings declaring 2 hook events (PreToolUse, PostToolUse).
Instructions file GitHub Copilot
Instructions for open-metadata/OpenMetadata, covering openmetadata - github copilot development instructions, core purpose, fundamental principles, 1. user-centric approach and 2. accuracy and reliability.
Instructions file CodexOpenCode
Instructions for open-metadata/OpenMetadata, a project described as: The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
Instructions file
Instructions for open-metadata/OpenMetadata, covering claude.md, about openmetadata, stack at a glance, environment setup (every session) and repository layout.
Plugin Claude Code
Complete AI development workflow for OpenMetadata — structured planning, TDD, code review, test enforcement (90% coverage), systematic debugging, and connector development. Includes language-specific review agents for Java, Python, and TypeScript.
Agent
Verify that PR review comments were substantively addressed in code, not just checkbox-resolved. Used as a sub-agent by connector-review or standalone.
Agent
Research a source system's API, SDK, auth methods, and data model for building an OpenMetadata connector.
Agent
Validate a connector implementation against OpenMetadata standards by running checks on schema, code, and tests.
Agent
Review TypeScript/React code changes against OpenMetadata frontend patterns and CI checkstyle rules — ESLint, Prettier, import organization, license headers, i18n sync, Playwright lint, and component architecture.
Agent
Review Java code changes against OpenMetadata backend patterns and Kafka-grade quality standards — method size limits, IntelliJ-level inspections, immutability, granular error handling, and human-readable code.
Agent
Review Python code changes against OpenMetadata ingestion patterns — connector architecture, Pydantic 2.x models, pytest conventions, and schema-first design.
Skill Claude CodeCodex
Use to review code changes with a two-stage process - first checking spec/requirements compliance, then code quality. Works on staged changes, branches, or PRs.
Command
Review an OpenMetadata connector PR or implementation against golden standards.
Command
Load OpenMetadata connector development standards into context.
Command
Walk the OpenMetadata PR template — linked issue, design, tests + coverage, UI recording, manual tests — then draft and open the PR.
Command
Scaffold a new OpenMetadata connector with JSON Schema, Python boilerplate, and AI implementation context.
Command
Build everything and bring up a local Docker deployment with all components so you can test a connector in the UI.
Skill Claude CodeCodex
Deep reliability audit for OpenMetadata connectors — runs 7 investigation prompts (metadata, errors, auth, lineage, scale, synthesis, implementation) against connector standards.
Skill Claude CodeCodex
Build a new OpenMetadata connector from scratch — scaffold JSON Schema, Python boilerplate, and AI context using schema-first architecture with code generation across Python, Java, TypeScript, and auto-rendered UI forms.
Skill Claude CodeCodex
Review an OpenMetadata connector against golden standards. Runs multi-agent analysis covering architecture, code quality, type safety, testing, and performance. When a PR number is given, automatically posts the quality summary to the PR description and a detailed review as a PR comment.
Skill Claude CodeCodex
Load all OpenMetadata connector development standards into context. Use before building or reviewing connectors to ensure consistent patterns.
Skill Claude CodeCodex
Set up, verify, or repair a local OpenMetadata development environment on macOS or Linux. Installs the toolchain (Java 21, Maven, Node 22, Yarn 1.x, Python 3.10+, ANTLR 4.9.2, Docker), creates the Python venv, generates models, installs UI dependencies and pre-commit hooks. Use for a fresh clone, a new worktree…