7e5abd504f
Add three DBOS SDK skills with reference documentation for building reliable, fault-tolerant applications with durable workflows. Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
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Section Definitions
This file defines the rule categories for DBOS Python best practices. Rules are automatically assigned to sections based on their filename prefix.
1. Lifecycle (lifecycle)
Impact: CRITICAL Description: DBOS configuration, initialization, and launch patterns. Foundation for all DBOS applications.
2. Workflow (workflow)
Impact: CRITICAL Description: Workflow creation, determinism requirements, background execution, and workflow IDs.
3. Step (step)
Impact: HIGH Description: Step creation, retries, transactions, and when to use steps vs workflows.
4. Queue (queue)
Impact: HIGH Description: Queue creation, concurrency limits, rate limiting, partitioning, and priority.
5. Communication (comm)
Impact: MEDIUM Description: Workflow events, messages, and streaming for inter-workflow communication.
6. Pattern (pattern)
Impact: MEDIUM Description: Common patterns including idempotency, scheduled workflows, debouncing, and classes.
7. Testing (test)
Impact: LOW-MEDIUM Description: Testing DBOS applications with pytest, fixtures, and best practices.
8. Client (client)
Impact: MEDIUM Description: DBOSClient for interacting with DBOS from external applications.
9. Advanced (advanced)
Impact: LOW Description: Async workflows, workflow versioning, patching, and code upgrades.