Capture semantic-layer and knowledge updates from a live database schema snapshot.
npx skills add https://github.com/Kaelio/ktx --skill live_database_ingest
Use this skill when the ingest work unit contains raw files under
raw-sources/<connectionId>/live-database/<syncId>/.
connection.json to understand the snapshot metadata.foreign-keys.json when the table has a foreign key or when joins areneeded for the semantic-layer source.
sl_write_source.
table field.descriptions.db on tables and columns.or column comments.
sl_validate for the table source before the work unit completes.Sample values come from the scan record; do not invent values not present in
relationship-profile.json.
Before writing a wiki page or SL source on any topic:
discover_data({query: "<topic>"}) - see what wikis, SL sources, and rawtables already exist. Prefer updating existing pages over creating new ones.
Before emitting any schema.table or schema.table.column into a wiki body,
SL source, tables: frontmatter, sl_refs, or emit_unmapped_fallback:
entity_details({connectionId, targets: [{display: "<identifier>"}]}) -confirm the identifier resolves; inspect native types, FK/PK, and
sampleValues.
check whether they appear in entity_details sampleValues for the relevant
column. If sampleValues is short or the sample may have missed real values,
run a sql_execution probe with the same warehouse connection id:
sql_execution({connectionId, sql: "SELECT DISTINCT <col> FROM <ref> LIMIT 50"}).
sql_execution({connectionId, sql: "SELECT 1 FROM <ref> LIMIT 0"}).If it errors, the identifier is fictional.
[unverified - from <rawPath>] in the wiki body,citing the exact raw path that mentioned it.
emit_unmapped_fallback with no_physical_table, includethe failing probe error in clarification.
<schema>.<table> placeholder strings from these instructionsinto output.
For a raw table with this shape:
{
"name": "orders",
"db": "public",
"columns": [
{ "name": "id", "type": "integer", "nullable": false, "primaryKey": true }
]
}
Write a semantic-layer source with this shape:
name: orders
table: public.orders
grain: id
columns:
- name: id
type: number
Use string, number, time, or boolean for column types. When a database
type is ambiguous, use string.
The raw snapshot is structural evidence. Do not invent measures, segments,
business definitions, or joins that are not present in the snapshot files.
Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.
Access BRENDA enzyme database via SOAP API. Retrieve kinetic parameters (Km, kcat), reaction equations, organism data, and substrate-specific enzyme information for biochemical research and metabolic pathway analysis.
Access ClinPGx pharmacogenomics data (successor to PharmGKB). Query gene-drug interactions, CPIC guidelines, allele functions, for precision medicine and genotype-guided dosing decisions.
Query NCBI ClinVar for variant clinical significance. Search by gene/position, interpret pathogenicity classifications, access via E-utilities API or FTP, annotate VCFs, for genomic medicine.
Access COSMIC cancer mutation database. Query somatic mutations, Cancer Gene Census, mutational signatures, gene fusions, for cancer research and precision oncology. Requires authentication.
Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
Query NCBI Gene via E-utilities/Datasets API. Search by symbol/ID, retrieve gene info (RefSeqs, GO, locations, phenotypes), batch lookups, for gene annotation and functional analysis.
Take kaelio/live_database_ingest from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.