Profile My skills Saved Collections Edit profile Submit a skill

← all publishers

taruvi-ai

@taruvi-ai source repo

6 published skills

  1. ▌
    Taruvi App Developer · taruvi-ai bundle
    Backend work on a Taruvi app: provisioning datatables, Cerbos policies, roles, users, buckets, secrets, analytics queries, or raw SQL via the Taruvi MCP server; and authoring Python function bodies that run in the Taruvi function runtime (`def main(params, user_data, sdk_client)`) for multi-resource cascades, event/cron handlers, public webhooks, and external API calls. Triggers: "create a datatable", "Frictionless schema", "Cerbos policy", "serverless function", "scheduled job", "analytics query", "sdk_client", `manage_function`, `execute_raw_sql`. Skip for Refine frontend work — use `taruvi-refine-providers` instead.
    0 installs
  2. ▌
    Taruvi Refine Providers · taruvi-ai bundle
    Refine.dev frontend work on a Taruvi app: wiring data/storage/app/user providers, authProvider, accessControlProvider; Refine hooks against Taruvi (CRUD, useCustom, useCan, useDataGrid, useForm); building list pages, dashboards, KPI cards, file managers, network-backed autocompletes; calling Taruvi functions and analytics from the frontend; debugging 401/403, token refresh, redirect loops, or permission failures. Triggers: any Refine/React work in a Taruvi project, "build a list page", "add a dashboard", "wire up auth", "dataProvider", "@taruvi/refine-providers", `VITE_TARUVI_*`. Skip for backend Python, MCP provisioning, schemas, policies, or raw SQL — use `taruvi-app-developer` instead.
    0 installs
  3. ▌
    Taruvi Functions · taruvi-ai bundle
    Write Python function bodies that run inside Taruvi's serverless runtime using the `taruvi` SDK (v0.1.9, sync+async via unasync codegen). Use when authoring code for `def main(params, user_data, sdk_client)`, calling `client.database`/`.storage`/`.secrets`/`.auth`/`.policy`/`.users`/`.analytics`/`.functions`/`.settings`/`.app`, handling the immutable auth pattern (signInWithToken returns a NEW client, never mutates in place), or using the `log(...)` builtin. TRIGGERS include "Taruvi function", "def main params user_data sdk_client", "taruvi Python SDK", "signInWithToken", "TARUVI_FUNCTION_RUNTIME", "function body Taruvi", "serverless handler Taruvi", "Celery Taruvi function", "@taruvi function". SKIP when provisioning backend resources (use taruvi-backend-provisioning) or building Refine UI (use taruvi-refine-frontend). Covers runtime detection, the 10 SDK modules, immutable auth, sync vs async, runtime context vars, log vs print, and the common gotchas that bite function authors.
    0 installs
  4. ▌
    Taruvi App Builder · taruvi-ai bundle
    Orchestrates end-to-end feature development on Taruvi, a Django multi-tenant BaaS with Refine.dev admin UIs. Use when building a new Taruvi app from scratch, scaffolding a full-stack feature that spans backend + function code + Refine frontend, or adding a capability that crosses layers. TRIGGERS include "new Taruvi app", "build with Taruvi", "Taruvi feature end to end", "scaffold BaaS app", "full-stack feature Taruvi", "add CRUD feature Taruvi", "create Taruvi project", "multi-surface feature". SKIP for single-domain work — use taruvi-backend-provisioning for tables/roles/policies/function metadata, taruvi-functions for Python function code, taruvi-refine-frontend for Refine UI only. Plans the sequence, delegates to specialists, verifies integration points. Knows the three-layer architecture (MCP / skills / AGENTS.md), the feature-add workflow, and cross-layer gotchas.
    0 installs
  5. ▌
    Taruvi Refine Frontend · taruvi-ai bundle
    Build Refine.dev admin UIs backed by Taruvi using `@taruvi/refine-providers` v1.3.0. Six providers wrap the Taruvi data API, storage, app-level resources, users, auth (OAuth redirect), and Cerbos accessControl. Use for list/show/edit/create pages against Taruvi datatables, file browsers on storage buckets, role/user management UI, accessControl with useCan, OAuth login flow, useCustom against functions and analytics. TRIGGERS include "Refine page Taruvi", "useList Taruvi", "Taruvi admin UI", "dataProvider Taruvi", "@taruvi/refine-providers", "meta.populate", "meta.bucketName", "meta.idColumnName", "Taruvi accessControl Refine", "Taruvi useCustom meta.kind", "refine-providers upsert", "Taruvi OAuth Refine". SKIP when provisioning backend (use taruvi-backend-provisioning) or writing Python function code (use taruvi-functions). Covers all 6 providers, 24 filter operators, DataLoader batching, _cachedUser, 401/403 split, and the meta options consumers reach for.
    0 installs
  6. ▌
    Taruvi Backend Provisioning · taruvi-ai bundle
    Provision Taruvi backend resources via the Taruvi MCP server — datatables with Frictionless schemas, storage buckets, users, roles, Cerbos policies, serverless functions, analytics queries, secrets, tags, and audited raw SQL. Use when the user wants to create a datatable, add a role, write a Cerbos policy, provision a bucket, upsert schema, assign a role, register a function, run an analytics query, or otherwise change Taruvi's backend state. TRIGGERS include "Taruvi datatable", "Frictionless schema", "Cerbos policy", "manage_policies", "provision Taruvi", "upsert rows", "multi-tenant table", "Taruvi MCP tools", "create_update_schema", "delete_datatable", "execute_raw_sql". SKIP when writing Python code that runs inside a Taruvi function (use taruvi-functions) or building Refine UI (use taruvi-refine-frontend). Knows all 24 MCP tool contracts, correct invocation order, destructive-op protocol, and the Frictionless/Cerbos essentials the tools expect.
    0 installs