connector-standards

name	connector-standards
description	Load all OpenMetadata connector development standards into context. Use before building or reviewing connectors to ensure consistent patterns.
user-invocable	true
argument-hint	[optional: specific standard name like 'testing' or 'database']
allowed-tools	["Read","Glob"]

Load OpenMetadata Connector Standards

When to Activate

When a user asks to "load standards", "show connector standards", or before starting any connector development or review work.

Behavior

Load All Standards

If no specific standard is requested, load all standards in this order:

1. ${CLAUDE_SKILL_DIR}/standards/main.md — Architecture overview
2. ${CLAUDE_SKILL_DIR}/standards/patterns.md — Error handling, logging, pagination
3. ${CLAUDE_SKILL_DIR}/standards/code_style.md — Python and JSON Schema conventions
4. ${CLAUDE_SKILL_DIR}/standards/schema.md — Connection schema patterns
5. ${CLAUDE_SKILL_DIR}/standards/connection.md — Connection class patterns
6. ${CLAUDE_SKILL_DIR}/standards/service_spec.md — ServiceSpec registration
7. ${CLAUDE_SKILL_DIR}/standards/testing.md — Unit and integration test patterns
8. ${CLAUDE_SKILL_DIR}/standards/registration.md — How to register a connector
9. ${CLAUDE_SKILL_DIR}/standards/performance.md — Performance best practices
10. ${CLAUDE_SKILL_DIR}/standards/memory.md — Memory management and OOM prevention
11. ${CLAUDE_SKILL_DIR}/standards/lineage.md — Lineage extraction methods
12. ${CLAUDE_SKILL_DIR}/standards/sql.md — SQLAlchemy patterns and URL building

Then read all source-type standards:

${CLAUDE_SKILL_DIR}/standards/source_types/*.md

Load Specific Standard

If a specific standard or service type is requested:

Request	File to Load
"testing"	standards/testing.md
"patterns"	standards/patterns.md
"schema"	standards/schema.md
"lineage"	standards/lineage.md
"sql"	standards/sql.md
"memory"	standards/memory.md
"database"	standards/source_types/database.md
"sql databases"	standards/source_types/sql_databases.md
"data warehouses"	standards/source_types/data_warehouses.md
"nosql"	standards/source_types/nosql_databases.md
"dashboard"	standards/source_types/dashboard.md
"pipeline"	standards/source_types/pipeline.md
"messaging"	standards/source_types/messaging.md
"mlmodel"	standards/source_types/mlmodel.md
"storage"	standards/source_types/storage.md
"search"	standards/source_types/search.md
"api"	standards/source_types/api.md
etc.	standards/source_types/{name}.md

After Loading

Confirm to the user which standards were loaded and summarize the key points. Example:

Loaded 12 core standards + 11 source-type standards. Key points:

• Schema-first: one JSON Schema → Python, Java, TypeScript, UI forms
• Use BaseConnection for SQLAlchemy, get_connection()/test_connection() for others
• Use pytest with plain assert, no unittest.TestCase
• Always include copyright header, use ingestion_logger()
• Lineage via query logs (database), SQL parsing (dashboard), or task metadata (pipeline)