Claude Skills by AgamiAI

github.com/AgamiAI

9 skillsA× 90 installs11 views

Agami ConnectAEnd-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 ...databasespythonrustVotes: 0GitHub stars: 28
Agami DeployAEARLY 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-compose.yml + Caddyfile + a filled agami.env (referencing the PUBLISHED image ghcr.io/agamiai/agami-cor...ai-agentspythongoVotes: 0GitHub stars: 28
Agami EvalARuns 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 skill reports it and never re-judges it. Neither the answer key nor the generated statement is print...ai-agentspythongoVotes: 0GitHub stars: 28
Agami ModelAThe 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...ai-agentspythonrustVotes: 0GitHub stars: 28
Agami QueryAAnswers 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 the user's chosen tool (psql / mysql / snowsql / sqlite3 native CLI, DuckDB binary, or the Python d...ai-agentspythonrustVotes: 0GitHub stars: 28
Agami ReconcileAReconciles 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 profile's semantic model, diffs actual vs expected, and surfaces matches in green and mismatches in re...datapythonrustVotes: 0GitHub stars: 28
Agami Save CorrectionASaves 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 model edit is validated before write; the validator is the binding gate, and a failed validation r...ai-agentspythonrustVotes: 0GitHub stars: 28
Agami ServeAWires 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_config.json (backup + atomic write, preserving every other key). The local server is the mirror of the ...ai-agentspythongoVotes: 0GitHub stars: 28
Agami Save GoldenAWrites 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 answered it and the result the person accepted, as a confirmed item. The curation door applies the cha...datapythonrustVotes: 0GitHub stars: 28