$21
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 sickn33/antigravity-awesome-skills --skill python-packagingCompatible with
Supported agents
No content available.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionpython-packagingExecute the skills CLI command in your project's root directory to begin installation:
epx add sickn33/antigravity-awesome-skills --skill python-packagingFetches python-packaging from sickn33/antigravity-awesome-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/python-packaging
Restart Cursor to activate python-packaging. Access via /python-packagingin 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.
react-nextjs-development
sickn33/antigravity-awesome-skills · Frontend · same repo
security-audit
sickn33/antigravity-awesome-skills · Productivity · same repo
cpp-pro
sickn33/antigravity-awesome-skills · Productivity · same repo
code-review-excellence
sickn33/antigravity-awesome-skills · Productivity · same repo
wireshark-network-traffic-analysis
sickn33/antigravity-awesome-skills · Productivity · same repo
python-expert
shubhamsaboo/awesome-llm-apps · Backend · tag: python
Useful defaults in python-packaging — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: python-packaging is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for python-packaging matched our evaluation — installs cleanly and behaves as described in the markdown.
python-packaging has been reliable in day-to-day use. Documentation quality is above average for community skills.
python-packaging fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
python-packaging is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend python-packaging for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: python-packaging is focused, and the summary matches what you get after install.
python-packaging has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added python-packaging from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
showing 1-10 of 48