Continues from `/ship` by merging, waiting for CI/deploy completion, and then verifying production health.
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 garrytan/gstack --skill gstackCompatible with
Supported agents
Continues from /ship by merging, waiting for CI/deploy completion, and then verifying production health. Imported from land-and-deploy/SKILL.md in garrytan/gstack.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionland-and-deployExecute the skills CLI command in your project's root directory to begin installation:
epx add garrytan/gstack --skill gstackFetches land-and-deploy from garrytan/gstack 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/land-and-deploy
Restart Cursor to activate land-and-deploy. Access via /land-and-deployin 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.
benchmark-models
garrytan/gstack · gstack-multi-ai · same repo
context-save
garrytan/gstack · gstack-memory · same repo
to-prd
mattpocock/skills · productivity · tag: github
to-issues
mattpocock/skills · productivity · tag: github
suggest-awesome-github-copilot-skills
github/awesome-copilot · Productivity · tag: github
github
steipete/clawdis · Productivity · tag: github
Solid pick for teams standardizing on skills: land-and-deploy is focused, and the summary matches what you get after install.
land-and-deploy is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend land-and-deploy for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: land-and-deploy is the kind of skill you can hand to a new teammate without a long onboarding doc.
land-and-deploy has been reliable in day-to-day use. Documentation quality is above average for community skills.
land-and-deploy is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for land-and-deploy matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in land-and-deploy — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
land-and-deploy fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: land-and-deploy is focused, and the summary matches what you get after install.
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