Updated 1d ago
by AgamiAI
agami-core
The trust layer between AI and your data. Turns your database schema - messy joins, undocumented tables, into a governed semantic model so AI answers with correct SQL and a receipt on every answer. Run it locally, or self-host a shared team server with Docker.
29 GitHub stars (29)
+1 in 16 days
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- 9 skills (9 skills found in its SKILL.md files)
- 1 forks (1 forks)
- 1d ago last update (Last updated 1d ago)
Install
Skills CLI
npx skills add AgamiAI/agami-core
Asks which skills and agents to install. Just one: npx skills add AgamiAI/agami-core --skill agami-connect — add -g for every project.
Claude Code
git clone https://github.com/AgamiAI/agami-corecp -r "agami-core/plugins/agami/skills/agami-connect" ~/.claude/skills/
Copies the agami-connect skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add AgamiAI/agami-core
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
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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 struc…
plugins/agami/skills/agami-connect/SKILL.md on GitHub (opens in a new tab) -
agami-deploy
EARLY ACCESS (in testing) — usable today, but newer than the local single-player path; feedback welcome via a GitHub issue. Prepares a ready-to-run, self-hosted agami deploy bundle ON THE USER'S MACHINE so a team can stand up a shareable MCP server their Claude connects to. Conversationally gathers the hard-floor inputs (hostname, admin identity), auto-detects the local model, writes docker-compo…
plugins/agami/skills/agami-deploy/SKILL.md on GitHub (opens in a new tab) -
agami-eval
Runs the golden evaluation harness for a profile. Picks one golden dataset, regenerates SQL for every question in it, executes each statement against the org's own warehouse, scores the result against the confirmed answer key, and reports the verdicts — failures first, with the errored, the unscored and the unconfirmed each kept separate. Scoring is deterministic and happens in agami-core; the sk…
plugins/agami/skills/agami-eval/SKILL.md on GitHub (opens in a new tab) -
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 / r…
plugins/agami/skills/agami-model/SKILL.md on GitHub (opens in a new tab) -
agami-query
Answers natural-language questions about the user's database. Loads the agami semantic model (subject areas, tables, columns, relationships with join cardinality, entities, metrics) and few-shot examples from <artifacts_dir>/<profile>/, generates SQL via the examples-first traversal (pick subject area → match examples → resolve entities/metrics → compound table context), executes it locally via t…
plugins/agami/skills/agami-query/SKILL.md on GitHub (opens in a new tab) -
agami-reconcile
Reconciles known (label, expected_value) numbers from an existing dashboard against agami's answers. Input can be a SCREENSHOT of a Metabase / Power BI / Tableau / Looker dashboard (Claude's vision extracts the pairs), a CSV, or numbers pasted inline — the user doesn't need to know which; they can just ask. For each pair, the skill generates a matching NL question, runs it through the active prof…
plugins/agami/skills/agami-reconcile/SKILL.md on GitHub (opens in a new tab) -
agami-save-correction
Saves a user correction so future queries learn from it. Always appends a (question, corrected_sql) pair to the subject area's example library under <artifacts_dir>/<profile>/prompt_examples/<area>/. Additionally, classifies the correction and — when applicable — applies a surgical edit to the semantic model itself (relationship fix, column metadata, or new metric) via the curation engine. Every…
plugins/agami/skills/agami-save-correction/SKILL.md on GitHub (opens in a new tab) -
agami-save-golden
Writes golden-dataset items for a profile through two doors. The import door turns a question bank — a CSV, one sheet of an Excel .xlsx workbook, or a table pasted into chat — into items after the parsed rows have been shown and agreed to: a row that already carries a statement is written confirmed, a bare question is written unconfirmed. The save door writes one question, the statement that answ…
plugins/agami/skills/agami-save-golden/SKILL.md on GitHub (opens in a new tab) -
agami-serve
Wires the local agami MCP server (python -m mcp_harness) into the Claude Desktop app in one step, so you can ask your database questions from Claude Desktop — not just inside Claude Code. Auto-detects the right Python interpreter (the one with your DB driver), installs the agami-core package into it so the registration survives plugin updates, and safely merges the entry into claude_desktop_confi…
plugins/agami/skills/agami-serve/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.