Seed the local development database with fixture data (org, user, models, subscription). Use when you need test data or login credentials.
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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Populate the local dev database with minimal fixture data for development and testing.
Run from ayunis-core-backend/:
| Command | Description |
|---|---|
pnpm run seed:minimal:ts | Upsert fixture data (idempotent — skips existing rows) |
pnpm run seed:clean:ts | Truncate all tables first, then seed |
The :ts variants run from source; the non-:ts variants run from dist/ (requires a build).
Defined in src/db/fixtures/minimal.fixture.ts:
| Entity | Key values |
|---|---|
| Org | Demo Org |
| User | admin@demo.local / admin — Admin + Super Admin, email verified |
| Language model | eu.anthropic.claude-sonnet-4-6 (Bedrock) — streaming, tools, vision |
| Embedding model | text-embedding-3-large (OpenAI) — 1536 dimensions |
| Subscription | 5 seats, €10/seat, monthly renewal |
| Permitted models | Language model (default), embedding model |
Email: admin@demo.local
Password: admin
The database must be running. Check with:
./dev status
If infrastructure isn't up, see the dev-environment skill.
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Query Ayunis deployed-environment telemetry in AppSignal — incidents, occurrence counts and error traces via the `appsignal-cli` binary; structured log attributes (user.id, org.id, nestjs.context, custom metadata) via the v2 logs API. Use when investigating a production/staging incident or log data — NOT for local dev logs (see backend-debugging).
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Ayunis Core backend specifics — module boundaries, key files, and project conventions. Complements the nestjs-hexagonal-backend skill.
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Debug backend runtime errors (500s, crashes, unexpected behavior). Use when something is broken at runtime — not for writing new code.
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Shared test fixtures for backend specs — port mock factories, domain builders, and shared IDs in a per-module testing/ folder. Use when a module's *.use-case.spec.ts files repeat the same mock-repository literal, inline entity construction, or hardcoded UUIDs across files.
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Analyze Cursor Bugbot PR comments through a root-cause lens: is the finding valid, and is the suggested fix the real fix or a bandaid over a deeper problem? Use when the user asks to check, assess, or triage bugbot comments.
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