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checkpoint-patterns
LangGraph checkpointing patterns for state persistence with memory, SQLite, and Postgres backends. Use when implementing state recovery or human-in-the-loop workflows.
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LangGraph checkpointing patterns for state persistence with memory, SQLite, and Postgres backends. Use when implementing state recovery or human-in-the-loop workflows.
Google File Search API patterns for managed RAG with Gemini. Covers both TypeScript (@google/genai) and Python (google-genai) SDKs. Use when building File Search integrations, implementing RAG with Google AI, or when user mentions Google File Search, Gemini RAG, document indexing, or semantic search.
BullMQ queue configuration patterns including connection pooling, job options, rate limiting, and TypeScript types. Use when setting up queues or configuring job behavior.
BullMQ worker implementation patterns including job processors, concurrency, error handling, and graceful shutdown. Use when creating workers or handling job processing.
DigitalOcean Managed Database provisioning and connection patterns
DigitalOcean networking patterns - VPCs, firewalls, load balancers, DNS
DigitalOcean Spaces (S3-compatible) object storage patterns
| name | checkpoint-patterns |
| description | LangGraph checkpointing patterns for state persistence with memory, SQLite, and Postgres backends. Use when implementing state recovery or human-in-the-loop workflows. |
| allowed-tools | Bash, Read, Write, Edit, Grep, Glob, WebFetch |
Skill for LangGraph state persistence and checkpointing.
Persist state with:
This skill is automatically invoked when:
| Template | Description |
|---|---|
templates/memory_checkpoint.py | In-memory persistence |
templates/postgres_checkpoint.py | Postgres persistence |