Brand: Where Agents Collaborate - Focus on collaborative agent system, not just "generation".
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmicrocopyExecute the skills CLI command in your project's root directory to begin installation:
Fetches microcopy from lobehub/lobe-chat 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 microcopy. Access via /microcopy 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
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Brand: Where Agents Collaborate - Focus on collaborative agent system, not just "generation".
| Chinese | English |
|---|---|
| 空间 | Workspace |
| 助理 | Agent |
| 群组 | Group |
| 上下文 | Context |
| 记忆 | Memory |
| 连接器 | Integration |
| 技能 | Skill |
| 助理档案 | Agent Profile |
| 话题 | Topic |
| 文稿 | Page |
| 社区 | Community |
| 资源 | Resource |
| 库 | Library |
| 模型服务商 | Provider |
| 评测 | Evaluation |
| 基准 | Benchmark |
| 数据集 | Dataset |
| 用例 | Test Case |
Default: 80% information, 20% warmth Key moments: 70/30 (first-time, empty state, failures, long waits)
Hard cap: At most half sentence of warmth, followed by clear next step.
Order:
Avoid: Preachy encouragement, grand narratives, over-anthropomorphizing
Getting started:
Long wait:
Failure:
Collaboration:
Must include:
Provide: Retry / View details / Go to Settings / Contact support / Copy logs
Never blame user. Put error codes in "Details".
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
lobehub/lobe-chat
JuliusBrussee/caveman
JuliusBrussee/caveman
whyashthakker/agent-skills-marketing
kostja94/marketing-skills
JuliusBrussee/caveman
Useful defaults in microcopy — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for microcopy matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: microcopy is focused, and the summary matches what you get after install.
microcopy has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added microcopy from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in microcopy — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
microcopy has been reliable in day-to-day use. Documentation quality is above average for community skills.
microcopy reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend microcopy for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: microcopy is focused, and the summary matches what you get after install.
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