datachain-core
Use ONLY for abstract DataChain SDK questions — API usage, method signatures, or code patterns — when no specific dataset or bucket is referenced. If the request mentions creating, saving, listing, exploring datasets or buckets, use datachain-knowledge instead.
Resources
1Install
npx skillscat add datachain-ai/datachain/datachain-core Install via the SkillsCat registry.
Read {skill_dir}/SDK.md in full before answering DataChain SDK questions or generating DataChain Python code. It holds the SDK rules: API usage, UDF signatures, settings, delta semantics, materialization patterns, saving, exporting. The last section below holds the steps that need a local checkout and the dc-knowledge/ knowledge base.
Scope of this skill
SDK.md owns how DataChain code is written — API usage, UDF signatures, the shape of a saved dataset, saving and exporting. It is self-sufficient on its own.
The datachain-knowledge skill owns the knowledge base at dc-knowledge/: what datasets already exist, what each one holds, how long a run will take, and keeping that record current. When it is loaded, it drives the session and calls the rules here to write the code.
Before writing any pipeline code
- If
dc-knowledge/index.mdexists, read it first. - When the user's task overlaps with an existing dataset, read its
.mdunderdc-knowledge/datasets/for schema, code patterns, and lineage. - Bucket access: anonymous or authenticated? Check
dc-knowledge/buckets/for a.mdfile withanon: true/falsein frontmatter. If none, rundatachain bucket status <uri>to detect. Ifdeniedornot found, stop and ask the user.
Never create or modify files under dc-knowledge/ — that directory is owned by the knowledge skill.
Install
npx skillscat add datachain-ai/datachain/datachain-core Install via the SkillsCat registry.