[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M69AM3P66PTPM020Z4M8F01A":3,"skill-same:01M69AM3P66PTPM020Z4M8F01A":156},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":26,"publishedAt":47,"linkOnly":48,"markdownContent":49,"markdownBody":50,"frontMatter":51,"refName":57,"commitSha":58,"skillDirectory":59,"forksCount":60,"repositoryHtmlUrl":61,"repositoryHomepageUrl":6,"ownerHtmlUrl":62,"ownerBlogUrl":63,"ownerDescription":64,"updatedAt":65,"install":66,"resources":79},"01M69AM3P66PTPM020Z4M8F01A","data-catalog",null,"Create and enrich durable data catalogs using the native DS_CATALOG_V1 Markdown contract, declared entity relationships, privacy citation fields, and stable relationship IDs. Use when inventorying engagement data, recording semantic relationships, or preparing a catalog for ERD rendering.","microsoft\u002Fhve-core","microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","01M698VYDXZ6JW5WH3CRV650R8","Microsoft","01M69AK4J04JBRYTAKCMZ8G14R",1614,"CC-BY-4.0","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fhve-core\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fdata-science-engineering\u002Fdata-catalog\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000037","律师与法务",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"catalog","data","data catalog","native","engagement","create","relationship","standard","v1","when","false","use","schema","contract","for","core","enrich","planning","ids","recording","2026-11-10 10:12:30",false,"---\nname: data-catalog\ndescription: \"Create and enrich durable data catalogs using the native DS_CATALOG_V1 Markdown contract, declared entity relationships, privacy citation fields, and stable relationship IDs. Use when inventorying engagement data, recording semantic relationships, or preparing a catalog for ERD rendering.\"\nlicense: CC-BY-4.0\nuser-invocable: false\nmetadata:\n  authors: \"Microsoft (planning synthesis)\"\n  spec_version: \"1.0\"\n  last_updated: \"2026-08-03\"\n  content_based_on: \"https:\u002F\u002Fwww.w3.org\u002FTR\u002Fvocab-dcat-3\u002F; https:\u002F\u002Fwww.w3.org\u002FTR\u002Fprov-o\u002F; https:\u002F\u002Fwww.dublincore.org\u002Fspecifications\u002Fdublin-core\u002Fdcmi-terms\u002F; https:\u002F\u002Fdatapackage.org\u002Fstandard\u002Ftable-schema\u002F\"\n---\n\n# Data Catalog Workflow\n\n## Goal\n\nProduce a customer-readable Markdown catalog whose YAML frontmatter is a valid `DS_CATALOG_V1` machine contract. Preserve uncertainty explicitly so inferred or assumed relationships never appear confirmed.\n\n## Flow\n\n1. Confirm the engagement name and the caller-approved durable output path.\n2. Inventory entities at business grain. Record source access, tier, volume, profile pointer, classification, lineage, and open questions without copying column-level profile data.\n3. Assign every relationship a stable `rel-*` identifier. Record endpoints, maximum cardinality, both endpoint minimums, one or more paired join-key fields, confidence, and evidence basis.\n4. Reconcile coverage counts with the entity and relationship records.\n5. Render the human-readable sections from the YAML facts, ending with the canonical Data Science and Engineering Coaching disclaimer footer. Narrative can explain facts but cannot redefine them.\n6. Validate the artifact with `scripts\u002Fvalidate_catalog.py` before treating it as ready for review.\n\n## Inputs\n\n* Engagement context and a caller-approved output path\n* Data source inventory and access status\n* Business entity names, grain, and declared relationships\n* Existing per-dataset profile paths, when available\n* Privacy classifications or standards citations produced by the owning privacy workflow\n\n## Success criteria\n\n* The frontmatter declares exactly `catalog_version: DS_CATALOG_V1` and validates against `assets\u002Fds-catalog-v1.schema.json`.\n* Entity IDs and relationship IDs are unique and stable. Every endpoint and lineage reference resolves.\n* Every relationship declares `cardinality` as its maximum multiplicity plus `from_minimum` and `to_minimum` as `zero` or `one`.\n* Join keys use one string on both sides or paired arrays of equal length, and record field names only without primary-key, foreign-key, or uniqueness roles.\n* Relationship confidence is one of `confirmed`, `inferred`, or `assumed`, and every relationship records its basis.\n* Classification uses the `privacy-standards` citation-field names. The catalog does not invent standards identifiers.\n* Column statistics and feature metadata remain behind `profile_ref` rather than being copied into the catalog.\n* Every customer-facing catalog ends with the canonical Data Science and Engineering Coaching disclaimer footer.\n\n## Constraints\n\n* Treat catalog enrichment as user-driven. Offer enrichment when a source is missing, but do not change the catalog silently.\n* Record source locations as paths or connection references, never embedded credentials.\n* Keep DCAT alignment non-binding. The catalog is native YAML, not RDF, and makes no DCAT conformance claim.\n* Keep tier recording separate from tier behavior. `data-catalog` records the tier; `dataops` owns what that tier means.\n* Keep rendering separate from semantic authority. Diagram tools consume declared relationships and do not infer new ones.\n* End every customer-facing catalog with the canonical Data Science and Engineering Coaching disclaimer from the `disclaimer-language` skill.\n\n## Stop rules\n\n* Stop and request clarification when an entity grain, relationship endpoint, join-key pairing, or endpoint minimum is ambiguous.\n* Stop and retain `inferred` or `assumed` confidence when evidence does not support `confirmed`.\n* Stop before a durable write when the caller has not confirmed the destination.\n* Stop and route privacy interpretation to `privacy-standards` or the Privacy Planner when citation values or DPIA status are unknown.\n\n## Package resources\n\n| Resource                                              | Use                                                                                         |\n|-------------------------------------------------------|---------------------------------------------------------------------------------------------|\n| [catalog-contract.md](references\u002Fcatalog-contract.md) | Read for the authoritative field, identity, multiplicity, and body-generation rules         |\n| [dcat-crosswalk.md](references\u002Fdcat-crosswalk.md)     | Read when planning a DCAT, DCAT-AP, or catalog-platform export                              |\n| [provenance.md](references\u002Fprovenance.md)             | Read for standards selection, licensing, and non-conformance boundaries                     |\n| [ds-catalog-v1.md](templates\u002Fds-catalog-v1.md)        | Copy when starting a new catalog                                                            |\n| [northwind-catalog.md](examples\u002Fnorthwind-catalog.md) | Read as a complete valid example with scalar and composite join keys                        |\n| `assets\u002Fds-catalog-v1.schema.json`                    | Use as the structural JSON Schema for parsed frontmatter                                    |\n| `scripts\u002Fvalidate_catalog.py`                         | Execute with `uv run python scripts\u002Fvalidate_catalog.py \u003Ccatalog.md>` to validate a catalog |\n\n## Attribution\n\nThe native contract, workflow, schema, template, examples, and validator are repository-original content licensed CC BY 4.0.\n\nThe crosswalk paraphrases selected concepts from W3C DCAT 3, W3C PROV-O, and Frictionless Table Schema v2. Standard names and term identifiers are factual citations, the crosswalk prose and the paired-array join-key contract are independently authored, and no upstream schema, example, table, or substantial excerpt is reproduced. Because no upstream expression is redistributed, the package remains solely CC BY 4.0. See [provenance.md](references\u002Fprovenance.md).\n","# Data Catalog Workflow\n\n## Goal\n\nProduce a customer-readable Markdown catalog whose YAML frontmatter is a valid `DS_CATALOG_V1` machine contract. Preserve uncertainty explicitly so inferred or assumed relationships never appear confirmed.\n\n## Flow\n\n1. Confirm the engagement name and the caller-approved durable output path.\n2. Inventory entities at business grain. Record source access, tier, volume, profile pointer, classification, lineage, and open questions without copying column-level profile data.\n3. Assign every relationship a stable `rel-*` identifier. Record endpoints, maximum cardinality, both endpoint minimums, one or more paired join-key fields, confidence, and evidence basis.\n4. Reconcile coverage counts with the entity and relationship records.\n5. Render the human-readable sections from the YAML facts, ending with the canonical Data Science and Engineering Coaching disclaimer footer. Narrative can explain facts but cannot redefine them.\n6. Validate the artifact with `scripts\u002Fvalidate_catalog.py` before treating it as ready for review.\n\n## Inputs\n\n* Engagement context and a caller-approved output path\n* Data source inventory and access status\n* Business entity names, grain, and declared relationships\n* Existing per-dataset profile paths, when available\n* Privacy classifications or standards citations produced by the owning privacy workflow\n\n## Success criteria\n\n* The frontmatter declares exactly `catalog_version: DS_CATALOG_V1` and validates against `assets\u002Fds-catalog-v1.schema.json`.\n* Entity IDs and relationship IDs are unique and stable. Every endpoint and lineage reference resolves.\n* Every relationship declares `cardinality` as its maximum multiplicity plus `from_minimum` and `to_minimum` as `zero` or `one`.\n* Join keys use one string on both sides or paired arrays of equal length, and record field names only without primary-key, foreign-key, or uniqueness roles.\n* Relationship confidence is one of `confirmed`, `inferred`, or `assumed`, and every relationship records its basis.\n* Classification uses the `privacy-standards` citation-field names. The catalog does not invent standards identifiers.\n* Column statistics and feature metadata remain behind `profile_ref` rather than being copied into the catalog.\n* Every customer-facing catalog ends with the canonical Data Science and Engineering Coaching disclaimer footer.\n\n## Constraints\n\n* Treat catalog enrichment as user-driven. Offer enrichment when a source is missing, but do not change the catalog silently.\n* Record source locations as paths or connection references, never embedded credentials.\n* Keep DCAT alignment non-binding. The catalog is native YAML, not RDF, and makes no DCAT conformance claim.\n* Keep tier recording separate from tier behavior. `data-catalog` records the tier; `dataops` owns what that tier means.\n* Keep rendering separate from semantic authority. Diagram tools consume declared relationships and do not infer new ones.\n* End every customer-facing catalog with the canonical Data Science and Engineering Coaching disclaimer from the `disclaimer-language` skill.\n\n## Stop rules\n\n* Stop and request clarification when an entity grain, relationship endpoint, join-key pairing, or endpoint minimum is ambiguous.\n* Stop and retain `inferred` or `assumed` confidence when evidence does not support `confirmed`.\n* Stop before a durable write when the caller has not confirmed the destination.\n* Stop and route privacy interpretation to `privacy-standards` or the Privacy Planner when citation values or DPIA status are unknown.\n\n## Package resources\n\n| Resource                                              | Use                                                                                         |\n|-------------------------------------------------------|---------------------------------------------------------------------------------------------|\n| [catalog-contract.md](references\u002Fcatalog-contract.md) | Read for the authoritative field, identity, multiplicity, and body-generation rules         |\n| [dcat-crosswalk.md](references\u002Fdcat-crosswalk.md)     | Read when planning a DCAT, DCAT-AP, or catalog-platform export                              |\n| [provenance.md](references\u002Fprovenance.md)             | Read for standards selection, licensing, and non-conformance boundaries                     |\n| [ds-catalog-v1.md](templates\u002Fds-catalog-v1.md)        | Copy when starting a new catalog                                                            |\n| [northwind-catalog.md](examples\u002Fnorthwind-catalog.md) | Read as a complete valid example with scalar and composite join keys                        |\n| `assets\u002Fds-catalog-v1.schema.json`                    | Use as the structural JSON Schema for parsed frontmatter                                    |\n| `scripts\u002Fvalidate_catalog.py`                         | Execute with `uv run python scripts\u002Fvalidate_catalog.py \u003Ccatalog.md>` to validate a catalog |\n\n## Attribution\n\nThe native contract, workflow, schema, template, examples, and validator are repository-original content licensed CC BY 4.0.\n\nThe crosswalk paraphrases selected concepts from W3C DCAT 3, W3C PROV-O, and Frictionless Table Schema v2. Standard names and term identifiers are factual citations, the crosswalk prose and the paired-array join-key contract are independently authored, and no upstream schema, example, table, or substantial excerpt is reproduced. Because no upstream expression is redistributed, the package remains solely CC BY 4.0. See [provenance.md](references\u002Fprovenance.md).\n",{"name":5,"license":15,"metadata":52,"description":7,"user-invocable":48},{"authors":53,"last_updated":54,"spec_version":55,"content_based_on":56},"Microsoft (planning synthesis)","2026-08-03","1.0","https:\u002F\u002Fwww.w3.org\u002FTR\u002Fvocab-dcat-3\u002F; https:\u002F\u002Fwww.w3.org\u002FTR\u002Fprov-o\u002F; https:\u002F\u002Fwww.dublincore.org\u002Fspecifications\u002Fdublin-core\u002Fdcmi-terms\u002F; https:\u002F\u002Fdatapackage.org\u002Fstandard\u002Ftable-schema\u002F","main","f425e943bf228052a23e6bc4810b5faef030314f",".github\u002Fskills\u002Fdata-science-engineering\u002Fdata-catalog",355,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fhve-core","https:\u002F\u002Fgithub.com\u002Fmicrosoft","https:\u002F\u002Fopensource.microsoft.com","Open source projects and samples from Microsoft","2026-11-14 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