$22
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
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add czlonkowski/n8n-skills --skill n8n-code-pythonCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionn8n-code-pythonExecute the skills CLI command in your project's root directory to begin installation:
epx add czlonkowski/n8n-skills --skill n8n-code-pythonFetches n8n-code-python from czlonkowski/n8n-skills 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:
.cursor/skills/n8n-code-python
Restart Cursor to activate n8n-code-python. Access via /n8n-code-pythonin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
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.
python-expert-best-practices-code-review
wispbit-ai/skills · Backend · 2 shared tags
python-expert
shubhamsaboo/awesome-llm-apps · Backend · tag: python
ccxt-python
ccxt/ccxt · Backend · tag: python
clean-code-principles
asyrafhussin/agent-skills · Productivity · tag: code
code-review-excellence
awesome-skills/code-review-skill · Productivity · tag: code
code-refactoring
supercent-io/skills-template · Productivity · tag: code
n8n-code-python reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added n8n-code-python from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
n8n-code-python is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
n8n-code-python fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend n8n-code-python for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: n8n-code-python is focused, and the summary matches what you get after install.
n8n-code-python has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in n8n-code-python — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added n8n-code-python from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
n8n-code-python reduced setup friction for our internal harness; good balance of opinion and flexibility.
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