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project-overview▌

lobehub/lobe-chat · updated Apr 8, 2026

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$npx skills add https://github.com/lobehub/lobe-chat --skill project-overview
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summary

Open-source, modern-design AI Agent Workspace: LobeHub (previously LobeChat).

skill.md

LobeHub Project Overview

Project Description

Open-source, modern-design AI Agent Workspace: LobeHub (previously LobeChat).

Supported platforms:

  • Web desktop/mobile
  • Desktop (Electron)
  • Mobile app (React Native) - coming soon

Logo emoji: 🤯

Complete Tech Stack

Category Technology
Framework Next.js 16 + React 19
Routing SPA inside Next.js with react-router-dom
Language TypeScript
UI Components @lobehub/ui, antd
CSS-in-JS antd-style
Icons lucide-react, @ant-design/icons
i18n react-i18next
State zustand
URL Params nuqs
Data Fetching SWR
React Hooks aHooks
Date/Time dayjs
Utilities es-toolkit
API TRPC (type-safe)
Database Neon PostgreSQL + Drizzle ORM
Testing Vitest

Complete Project Structure

Monorepo using @lobechat/ namespace for workspace packages.

lobehub/
├── apps/
│   └── desktop/                 # Electron desktop app
├── docs/
│   ├── changelog/
│   ├── development/
│   ├── self-hosting/
│   └── usage/
├── locales/
│   ├── en-US/
│   └── zh-CN/
├── packages/
│   ├── agent-runtime/           # Agent runtime
│   ├── builtin-agents/
│   ├── builtin-tool-*/          # Builtin tool packages
│   ├── business/                # Cloud-only business logic
│   │   ├── config/
│   │   ├── const/
│   │   └── model-runtime/
│   ├── config/
│   ├── const/
│   ├── context-engine/
│   ├── conversation-flow/
│   ├── database/
│   │   └── src/
│   │       ├── models/
│   │       ├── schemas/
│   │       └── repositories/
│   ├── desktop-bridge/
│   ├── edge-config/
│   ├── editor-runtime/
│   ├── electron-client-ipc/
│   ├── electron-server-ipc/
│   ├── fetch-sse/
│   ├── file-loaders/
│   ├── memory-user-memory/
│   ├── model-bank/
│   ├── model-runtime/
│   │   └── src/
│   │       ├── core/
│   │       └── providers/
│   ├── observability-otel/
│   ├── prompts/
│   ├── python-interpreter/
│   ├── ssrf-safe-fetch/
│   ├── types/
│   ├── utils/
│   └── web-crawler/
├── src/
│   ├── app/
│   │   ├── (backend)/
│   │   │   ├── api/
│   │   │   ├── f/
│   │   │   ├── market/
│   │   │   ├── middleware/
│   │   │   ├── oidc/
│   │   │   ├── trpc/
│   │   │   └── webapi/
│   │   ├── spa/                  # SPA HTML template service
│   │   └── [variants]/
│   │       └── (auth)/           # Auth pages (SSR required)
│   ├── routes/                  # SPA page components (Vite)
│   │   ├── (main)/
│   │   ├── (mobile)/
│   │   ├── (desktop)/
│   │   ├── onboarding/
│   │   └── share/
│   ├── spa/                     # SPA entry points and router config
│   │   ├── entry.web.tsx
│   │   ├── entry.mobile.tsx
│   │   ├── entry.desktop.tsx
│   │   └── router/
│   ├── business/                # Cloud-only (client/server)
│   │   ├── client/
│   │   ├── locales/
│   │   └── server/
│   ├── components/
│   ├── config/
│   ├── const/
│   ├── envs/
│   ├── features/
│   ├── helpers/
│   ├── hooks/
│   ├── layout/
│   │   ├── AuthProvider/
│   │   └── GlobalProvider/
│   ├── libs/
│   │   ├── better-auth/
│   │   ├── oidc-provider/
│   │   └── trpc/
│   ├── locales/
│   │   └── default/
│   ├── server/
│   │   ├── featureFlags/
│   │   ├── globalConfig/
│   │   ├── modules/
│   │   ├── routers/
│   │   │   ├── async/
│   │   │   ├── lambda/
│   │   │   ├── mobile/
│   │   │   └── tools/
│   │   └── services/
│   ├── services/
│   ├── store/
│   │   ├── agent/
│   │   ├── chat/
│   │   └── user/
│   ├── styles/
│   ├── tools/
│   ├── types/
│   └── utils/
└── e2e/                         # E2E tests (Cucumber + Playwright)

Architecture Map

Layer Location
UI Components src/components, src/features
SPA Pages src/routes/
React Router src/spa/router/
Global Providers src/layout
Zustand Stores src/store
Client Services src/services/
REST API src/app/(backend)/webapi
tRPC Routers src/server/routers/{async|lambda|mobile|tools}
Server Services src/server/services (can access DB)
Server Modules src/server/modules (no DB access)
Feature Flags src/server/featureFlags
Global Config src/server/globalConfig
DB Schema packages/database/src/schemas
DB Model packages/database/src/models
DB Repository packages/database/src/repositories
Third-party src/libs (analytics, oidc, etc.)
Builtin Tools src/tools, packages/builtin-tool-*
Cloud-only src/business/*, packages/business/*

Data Flow

React UI → Store Actions → Client Service → TRPC Lambda → Server Services → DB Model → PostgreSQL
how to use project-overview

How to use project-overview on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add project-overview
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/lobehub/lobe-chat --skill project-overview

The skills CLI fetches project-overview from GitHub repository lobehub/lobe-chat and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/project-overview

Reload or restart Cursor to activate project-overview. Access the skill through slash commands (e.g., /project-overview) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client
  • ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • ›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • ⚠Not validating competitive research—verify facts before sharing
  • ⚠Accepting user stories without involving engineering team
  • ⚠Over-relying on frameworks without qualitative judgment
  • ⚠Not customizing outputs to company culture and communication style
  • ⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • −Don't publish competitive analysis without fact-checking
  • −Don't finalize user stories without engineering review
  • −Don't make prioritization decisions solely on AI scoring
  • −Don't skip customer validation of generated requirements
  • −Don't ignore company-specific context and culture

💡 Pro Tips

  • ★Provide context: company goals, constraints, customer feedback
  • ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • ★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path▌

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.7★★★★★59 reviews
  • ★★★★★Kaira Robinson· Dec 20, 2024

    project-overview reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Ira Chen· Dec 20, 2024

    We added project-overview from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Evelyn Harris· Dec 8, 2024

    Useful defaults in project-overview — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Ishan Wang· Nov 27, 2024

    Registry listing for project-overview matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Kaira Abebe· Nov 11, 2024

    I recommend project-overview for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Ira Brown· Nov 11, 2024

    Solid pick for teams standardizing on skills: project-overview is focused, and the summary matches what you get after install.

  • ★★★★★Ishan Brown· Oct 18, 2024

    project-overview reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Valentina Jackson· Oct 2, 2024

    Useful defaults in project-overview — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Fatima Johnson· Oct 2, 2024

    project-overview has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Tariq Diallo· Sep 21, 2024

    project-overview has been reliable in day-to-day use. Documentation quality is above average for community skills.

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