Electron desktop development guide for LobeHub's main-renderer architecture.
Works with
Covers controller creation, IPC type definitions, renderer services, and store actions for adding new desktop features
Includes security best practices: input validation, limited API exposure, and preload script patterns for safe main-renderer communication
Provides structured references for feature implementation, local tools workflow, menu configuration, and window management
Emphasizes async methods, b
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondesktopExecute the skills CLI command in your project's root directory to begin installation:
Fetches desktop from lobehub/lobehub and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate desktop. Access via /desktop in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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LobeHub desktop is built on Electron with main-renderer architecture:
apps/desktop/src/main): App lifecycle, system APIs, window managementsrc/apps/desktop/src/preload): Securely expose main process to rendererLocation: apps/desktop/src/main/controllers/
import { ControllerModule, IpcMethod } from '@/controllers';
export default class NewFeatureCtr extends ControllerModule {
static override readonly groupName = 'newFeature';
@IpcMethod()
async doSomething(params: SomeParams): Promise<SomeResult> {
// Implementation
return { success: true };
}
}
Register in apps/desktop/src/main/controllers/registry.ts.
Location: packages/electron-client-ipc/src/types.ts
export interface SomeParams {
/* ... */
}
export interface SomeResult {
success: boolean;
error?: string;
}
Location: src/services/electron/
import { ensureElectronIpc } from '@/utils/electron/ipc';
const ipc = ensureElectronIpc();
export const newFeatureService = async (params: SomeParams) => {
return ipc.newFeature.doSomething(params);
};
Location: src/store/
Location: apps/desktop/src/main/controllers/__tests__/
See references/ for specific topics:
references/feature-implementation.mdreferences/local-tools.mdreferences/menu-config.mdreferences/window-management.mdMake data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
We added desktop from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
desktop reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for desktop matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: desktop is the kind of skill you can hand to a new teammate without a long onboarding doc.
desktop has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in desktop — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
desktop fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend desktop for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in desktop — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: desktop is the kind of skill you can hand to a new teammate without a long onboarding doc.
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