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Found 24 Skills
MANDATORY recipe for every Caffeine build that posts to X (Twitter). The ONLY supported path is the `x-client` mops package with OAuth 2.0 PKCE. Hand-rolling `ic.http_request` or `icBooking.http_request` calls to `api.x.com/2/tweets`, `api.x.com/2/oauth2/token`, or any other X endpoint is a FORBIDDEN anti-pattern — it bypasses bearer auth, replication-cost safeguards, and `x-client`'s null-field handling. Load this skill whenever the user, spec, or any prior task mentions tweeting, live-tweeting, posting-to-X, posting-a-status, sharing-to-Twitter, or any equivalent phrasing — and BEFORE writing any code that touches `api.x.com`.
Quick reference for the Caffeine Data Intelligence agent to query an OQL-exposing canister (schema() + execute()) through the `icp` CLI against the project's `backend` canister: read the schema, form JSON queries (filter / order / paginate / aggregate / dotted-path edges), and parse the Candid result rows.
Admin-only paginated viewer for stable canister state. Use whenever the user asks for a viewer, dashboard, debug panel, or admin browse over backend data — users, items, orders, logs, or any stable Map/Set/Array/VarArray/List/Stack/Queue. Pre-installed in every Caffeine app via the `caffeineai-data-viewer` mops package; this skill explains what it does and how to keep using it correctly.
MANDATORY recipe for every Caffeine build that calls OpenAI (ChatGPT, GPT-4o, an LLM, a chatbot, embeddings). The ONLY supported path is the `openai-client` mops package with a canister-side API-key bearer. Hand-rolling `ic.http_request` to `api.openai.com/v1/...` is a FORBIDDEN anti-pattern — it leaks the bearer across replicated outcalls (security + 13× billing impact), bypasses the typed request/response bindings, and forces hand-rolled JSON on a language with poor JSON support. Load this skill whenever the user, spec, or any prior task mentions ChatGPT, GPT (any version), OpenAI, an LLM, a chatbot, or embeddings — and BEFORE writing any code that touches `api.openai.com`.
Make a canister's data queryable by the Caffeine Data Intelligence agent. Use whenever an app stores structured data (Maps/Lists/arrays of records) that should be answerable in natural language — "top customers", "revenue by region", "active projects". Adds a discoverable `schema()` and a JSON `execute()` query endpoint via the `caffeineai-oql` mops package's `Expose` mixin.
MANDATORY recipe for every Caffeine build that lists upcoming events or creates events on the user's own Google Calendar. The ONLY supported path is the `googlecalendar-client` mops package (Calendar REST API v3) combined with the `google-oauth` mops package (token exchange + refresh + PKCE). Hand-rolling `ic.http_request` calls to `oauth2.googleapis.com` or `www.googleapis.com/calendar/v3` is a FORBIDDEN anti-pattern — it bypasses bearer auth, replication-cost safeguards, and the `google-oauth` library's percent-encoding and JSON parsing. Load this skill whenever the user, spec, or any prior task mentions scheduling, calendar events, appointments, meetings, "add to calendar", or any equivalent phrasing — and BEFORE writing any code that touches a Google endpoint.
Support for organising events/meetings and sending invitations by email.
QR code scanner using the camera.
Approval-based user management.
Authorization system with role-based access control. Must-have for all apps that manage personal or access-restricted data.
General file/object storage, such as for images, videos, files, documents and other bulk data. Perfect fit for image galleries, video galleries, and other file or object management. Supports large files beyond IC limit, with browser-cached HTTP URL access.
Payment support based on Stripe, supporting credit cards and debit cards