Large files need storage beyond Internet Computer canister limits. This skill guides Caffeine AI projects through backend integration, browser uploads, cached display, downloads, and troubleshooting.

Backend canisters need a reliable way to call external APIs. This skill shows how to use the Caffeine AI outcall module for GET and POST requests.

Unverified addresses can weaken account trust and communication. This skill guides Caffeine AI developers through click-to-verify flows using supported Motoko modules.

Single-recipient email helpers make coordinated messages cumbersome. This skill adds a Motoko sendRawEmail workflow with separate To, Cc, and Bcc recipient lists.

Marketing email systems need verified recipients, controlled sending, personalization, and reliable unsubscribe handling. This skill provides Motoko patterns and Caffeine AI modules for those workflows.

Building calendar workflows and iCalendar email delivery requires coordinated storage, permissions, and message formatting. This skill provides Motoko patterns for event management and invitation sending.

Backend canisters need a controlled way to send individual service messages. This skill documents the Caffeine AI email client and a Motoko integration pattern.

Connecting React applications to Internet Computer backends requires coordinated authentication, actor, query, and storage setup. This skill provides proven integration and migration guidance for that foundation.

Web camera integration requires permission handling, preview state, and device controls. This skill guides Claude, Codex, and Claude Code through the provided React hook.

Applications need consistent authentication and role checks across Motoko backends and React frontends. This skill provides Caffeine AI patterns for protected endpoints, profiles, login state, and migrations.

Caffeine canisters need secure Slack messaging without custom HTTP and authentication code. This skill provides an experimental client setup, token guidance, and Motoko examples.

Gmail integrations require careful OAuth, token storage, and callback handling. This skill provides a complete Motoko and frontend recipe for connecting accounts and sending email.

Google Calendar integrations require careful OAuth, token, and time handling. This skill provides a Motoko recipe for authenticated event access, availability checks, and callback routing.

Manual Logseq updates make note capture and structured maintenance slow. This skill creates and updates graph content through authenticated API operations.

Incomplete documentation makes software harder to understand, use, and maintain. This skill creates structured README files, API references, docstrings, comments, and language-specific examples.

Logseq database concepts can be difficult to connect across entities, classes, properties, and validation. This skill explains the Datascript model and provides practical schema templates.

Unsorted GitHub issues delay decisions and hide duplicates. This skill classifies issues, maps relationships, checks quality, and prepares focused triage actions.

Weak responses often hide correctness, clarity, completeness, or security issues. This skill converts those issues into prioritized recommendations with examples, implementation steps, trade-offs, and verification criteria.

Schema.org research can be slow and inconsistent when extending a Logseq template graph. This skill compares official vocabulary with existing templates and recommends compatible classes, properties, types, and modules.

Pull request reviews can miss risks, tests, and important context. This skill structures reviews, prepares descriptions, checks GitHub status, and recommends merge actions.