Syncs knowledge to the ai-workspace knowledge base. Use when the assistant discovers new patterns, learns user preferences, or identifies information worth preserving for future sessions. Integrates with dots-workstation-tech-assistant for automatic trigger points.
Interact with Slack workspaces for reading channels/messages, sending messages, adding reactions, and browsing canvases. Use when the user asks about agentic-workstation Slack channels, messages, or notifications — NOT for Slack app development (use the slack-cli skill for that).
ClickUp CLI for managing tasks, sprints, comments, statuses, and Docs. Use when the user needs to interact with ClickUp — creating/editing tasks, checking sprint status, adding comments, linking PRs, managing Docs and pages, or searching tasks. Prefer this CLI over raw API calls.
WHAT — Generate or update documentation from code: README.md from repo structure, CHANGELOG.md from git history, API reference from OpenAPI/GraphQL schemas, and AGENTS.md starters for new projects.
Getting started guide for new agentic-workstation users. Walks through setup validation, the skill/agent hierarchy, and the three most useful commands per role (developer, PM, tech lead). Use when someone is new to the workstation or asks "where do I start?"
UI/UX design intelligence. 67 styles, 96 palettes, 57 font pairings, 25 charts, 13 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples.
WHAT — Recommend the most cost-effective LLM provider for a given task type. Shows estimated cost per run across available providers and integrates with dots-devcompanion llm-status to show what is actually available.
WHAT - Evidence-based technical unit assessment for repositories, platforms, frontend, backend, infrastructure, data, UI/UX, and AI-native structural readiness.