openui-workspace-deliveryTeach an agent how to install OpenUI MCP Studio, connect it to a host, and use the core UI generation and review workflow without overclaiming a live marketp...
Install via ClawdBot CLI:
clawdbot install xiaojiou176/openui-workspace-deliveryGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/xiaojiou176-open/openui-mcp-studio.gitAudited Apr 18, 2026 · audit v1.0
Generated Oct 2, 2026
A frontend team uses OpenUI MCP Studio to scan an existing repo and generate a first batch of shadcn-style components without relying on cloud tooling. The agent runs the scan, plans a small change, generates one component, and gates quality before review. This keeps design-system work local, inspectable, and reproducible.
A staff engineer or tech lead uses the skill to produce a review bundle for a small UI change before opening a PR. The flow moves from workspace profile to plan, generation, quality gate, and review bundle, giving reviewers concrete local evidence. It reduces back-and-forth by grounding review in repo-owned proof rather than screenshots or claims.
A boutique web agency installs OpenUI MCP Studio in a client workspace and uses the agent to generate and review UI changes on a local branch. The agency can show the client an inspectable generation path instead of a black-box output. This supports scoped delivery while keeping client code and evidence local.
A platform team teaches developers how to connect the OpenUI MCP server to OpenHands or OpenClaw as part of internal onboarding. The skill provides config, capabilities, and a first proof loop so new hires can safely generate UI changes. It also sets clear boundaries around what the tool does and does not claim.
An indie developer uses OpenUI MCP Studio as a lightweight, local-first UI generation and review loop for a side project. The skill helps them scan the workspace, plan one safe change, generate UI, and gate quality without setting up hosted infrastructure. It keeps the workflow focused on shipping inspectable features.
OpenUI MCP Studio can be distributed as an open-source local MCP tool with paid enterprise features for team policy, audit, or governance. Developers adopt the free local workflow, while organizations pay for controls around proof and review. The model fits an MCP-first, local-first ecosystem.
Agencies and consultants can package OpenUI MCP Studio installation, host configuration, and workflow training as a service. Clients pay for a working proof loop inside their own repos rather than for hosted software. The value is delivered through setup, training, and review process design.
A company can treat OpenUI MCP Studio as an internal developer platform capability that reduces UI review friction. The 'customer' is an internal engineering organization, and value is measured in faster, safer UI changes. Revenue is indirect, coming from productivity and avoided external tooling costs.
💬 Integration Tip
Start by validating the local stdio MCP server with your host's provided config, then run only the scan and plan steps before any generation. Keep every claim tied to local MCP and repo evidence, and use the troubleshooting reference early if attach or proof fails.
Scored Oct 2, 2026
Control desktop applications on Windows — launch, close, focus, resize, move windows, simulate keyboard/mouse input, manage processes, control VSCode, read clipboard, and capture screen info. Use when the user wants to interact with any running program, switch windows, type text, press shortcuts, open files in VSCode, manage running processes, or get system display information.
Conduct rigorous, adversarial code reviews with zero tolerance for mediocrity. Use when users ask to "critically review" my code or a PR, "critique my code", "find issues in my code", or "what's wrong with this code". Identifies security holes, lazy patterns, edge case failures, and bad practices across Python, R, JavaScript/TypeScript, SQL, and front-end code. Scrutinizes error handling, type safety, performance, accessibility, and code quality. Provides structured feedback with severity tiers (Blocking, Required, Suggestions) and specific, actionable recommendations.
Pragmatic coding standards for writing clean, maintainable code — naming, functions, structure, anti-patterns, and pre-edit safety checks. Use when writing new code, refactoring existing code, reviewing code quality, or establishing coding standards.
Claude Code integration for OpenClaw. This skill provides interfaces to: - Query Claude Code documentation from https://code.claude.com/docs - Manage subagents and coding tasks - Execute AI-assisted coding workflows - Access best practices and common workflows Use this skill when users want to: - Get help with coding tasks - Query Claude Code documentation - Manage AI-assisted development workflows - Execute complex programming tasks
Plan, draft, version, and refine written content with enforced versioning and quality audits.
Use when writing tests, creating test strategies, or building automation frameworks. Invoke for unit tests, integration tests, E2E, coverage analysis, performance testing, security testing.