cdc-streaming-ingestion

cdc-streaming-ingestion is a Streaming & real-time data skill for AI agents, published by claude-dev-suite in the claude-dev-suite repository on GitHub. Skillspace rates cdc-streaming-ingestion F (53/100) and it passed the safety scan; the rating is based on static analysis only.

Real-time RAG ingestion. CDC (Debezium, Postgres logical replication), Kafka/ Pulsar topics for doc events, stream processing (Flink, Kafka Streams) to embedding service, exactly-once semantics, late-arriving updates, tombstones (deletes), upsert to vector DB, schema evolution. Full Debezium + Kafka -> vector DB example. USE WHEN: user mentions "CDC RAG", "Debezium RAG", "Kafka RAG", "real-time embeddings", "streaming ingestion", "Flink embeddings", "Pulsar RAG", "logical replication RAG" DO NOT USE FOR: batch scheduled ingestion - use `ingestion-orchestration`; query-time freshness weighting - use `time-aware-retrieval`; evaluation - use `rag-evaluation`

Grade
F
Quality
53 / 100
Safety
Passed
GitHub stars
24

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
80 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 2 collections
Scope
Portable: works in any project. General real-time RAG ingestion architecture spanning many tools, no single product

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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