agami-core
Review Skills in AgamiAI/agami-core, with license, maintenance context, and source paths.
- Skills
- 2
- Repository stars
- 20
- Identity status
- Source-linked
Provenance
Source and identity
- Profile type
- Repository
- Canonical name
- agami-core
- Public sources
- 1
- License context
- NOASSERTION
Source entries
Agent Skills from agami-core
Repository stars and maintenance signals provide context, but do not automatically become an individual Skill's quality score.
AgamiAI/agami-core
agami-connect
End-to-end database connection for agami: sets up credentials on first run (DB-type picker → writes <artifacts_dir>/local/credentials.example for the user to fill in), then introspects the live DB directly into the agami semantic model (subject areas, tables, columns, relationships with join cardinality, deep-table column groups, sensitive-column flags) under <artifacts_dir>/<profile>/. The structural model is built deterministically by the agami-core semantic_model package (catalog mode, or a p
AgamiAI/agami-core
agami-model
The single dashboard for the active profile's semantic model — browse, curate, AND sign off the trust layer in one surface. Browse every subject area, table, field, metric, entity, and join with live search; edit descriptions/metrics/entities/joins; exclude tables/columns you don't want queried; add new metrics; edit datasource.md. Its **Review tab** is the trust-layer sign-off queue: approve / reject the AI-proposed metrics (Rule 1 — a query using an unsigned metric still answers but carries a
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