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cocoindex-claude

por cocoindex-io · cocoindex-io/cocoindex-claude

Teaches Claude Code how to build CocoIndex data-transformation pipelines — real-time incremental processing for vector DBs and knowledge graphs.

CocoIndex is a real-time data transformation framework for AI pipelines (source → transform → vector DB / knowledge graph). This skill loads its conventions into Claude Code so the model writes idiomatic CocoIndex flows, custom functions, and CLI/API commands instead of guessing at an unfamiliar library.

Por qué usarlo

Características clave

Demo en vivo

Cómo se ve en la práctica

cocoindex-claude-skill.replay ▶ listo
0/0

Instalación

Repositorio del autor · Documentación oficial de Skills de Claude

Casos de uso

Usos del mundo real: cocoindex-claude

Build your first CocoIndex pipeline from a local folder into a vector DB

👤 Developers evaluating CocoIndex for a RAG use case ⏱ ~30 min intermediate

Cuándo usarlo: You've read the CocoIndex homepage and want Claude to scaffold a working flow instead of copy-pasting tutorials.

Flujo
  1. Describe the pipeline
    Use the cocoindex skill — scaffold a flow that watches ./docs, chunks markdown, embeds with OpenAI, writes to Qdrant.✓ Copiado
    → Claude generates a flow.py with @cocoindex.flow_def and the right source/transform/export calls
  2. Run and verify
    Now show me the exact CLI commands to build, run, and incrementally update this flow.✓ Copiado
    → cocoindex setup / update / eval commands in the correct order

Resultado: A working flow.py plus the commands to run it — no more guessing at the CocoIndex decorator surface.

Errores comunes
  • Claude invents APIs that don't exist in CocoIndex — Explicitly prompt 'use only APIs documented in the cocoindex skill' — hallucination drops when the skill is in scope
Combinar con: filesystem

Write a custom CocoIndex transform function

👤 Engineers extending an existing CocoIndex flow ⏱ ~25 min intermediate

Cuándo usarlo: Built-in transforms don't cover your parsing / enrichment step.

Flujo
  1. Describe the transform
    With the cocoindex skill — write a @cocoindex.op.function that takes a PDF path, extracts tables, returns structured rows.✓ Copiado
    → Idiomatic function signature with correct typed inputs/outputs
  2. Wire it into the flow
    Now plug this into my existing flow at the chunking stage.✓ Copiado
    → Diff against current flow.py with the new op in place

Resultado: A custom transform that obeys CocoIndex's incremental semantics.

Errores comunes
  • Function returns non-deterministic output, breaking incremental processing — Skill reminds Claude that transforms must be pure — if you hit this, re-read the incremental section

Combinaciones

Combínalo con otros MCPs para multiplicar por 10

cocoindex-claude-skill + filesystem

Let Claude actually write the flow.py file to disk, not just print it in chat

Scaffold the CocoIndex flow and save it to ./pipelines/docs_to_qdrant.py.✓ Copiado
cocoindex-claude-skill + postgres

Pipe CocoIndex output into a Postgres vector store and query it from the same session

Build the flow targeting pgvector, then run a retrieval query against it.✓ Copiado

Herramientas

Lo que expone este MCP

HerramientaEntradasCuándo llamarCoste
scaffold_flow source type + sink type + transform steps Starting a new pipeline 0
write_custom_op function intent + input/output types Built-in transforms aren't enough 0
cli_guidance task (setup / update / eval / drop) You're unsure whether to rebuild or incrementally update 0

Coste y límites

Lo que cuesta ejecutarlo

Cuota de API
None
Tokens por llamada
Modest — skill loads reference material only when relevant
Monetario
Free — skills are local files
Consejo
CocoIndex itself is free; costs come from your embedding model and vector DB, not this skill.

Seguridad

Permisos, secretos, alcance

Almacenamiento de credenciales: No credentials — pure prompts
Salida de datos: None from the skill itself. Your pipeline calls whichever embedding / DB services you configure.

Resolución de problemas

Errores comunes y soluciones

Wrong trigger keywords — Claude writes generic Python instead of CocoIndex

Mention CocoIndex explicitly, or say 'scaffold a cocoindex flow_def'.

Alternativas

cocoindex-claude vs otros

AlternativaCuándo usarlaContrapartida
LlamaIndex skillsYou want LlamaIndex's retrieval abstractions instead of CocoIndex's transform-centric modelDifferent mental model — LlamaIndex is retrieval-first, CocoIndex is pipeline-first
Hand-written PythonYou need one-off processing and don't want incremental stateNo incremental rebuilds, no framework conventions

Más

Recursos

📖 Lee el README oficial en GitHub

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