Production-ready serverless applications on GCP Cloud Run with containerized services and event-driven functions.
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 gcp-cloud-runCompatible with
Supported agents
Covers Cloud Run Services (containerized web apps and APIs) and Cloud Run Functions (HTTP, Pub/Sub, and Cloud Storage event handlers)
Includes cold start optimization techniques: startup CPU boost, minimum instances, distroless images, lazy dependency loading, and memory tuning
Provides multi-stage Docker builds, graceful shutdown patterns, and Cloud Build deployment pipe
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongcp-cloud-runExecute the skills CLI command in your project's root directory to begin installation:
epx add sickn33/antigravity-awesome-skills --skill gcp-cloud-runFetches gcp-cloud-run 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/gcp-cloud-run
Restart Cursor to activate gcp-cloud-run. Access via /gcp-cloud-runin 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.
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sickn33/antigravity-awesome-skills · Backend · same repo
react-native-architecture
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seo-content-writer
sickn33/antigravity-awesome-skills · Marketing · same repo
gcp-cloud-run reduced setup friction for our internal harness; good balance of opinion and flexibility.
gcp-cloud-run is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: gcp-cloud-run is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for gcp-cloud-run matched our evaluation — installs cleanly and behaves as described in the markdown.
gcp-cloud-run is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
gcp-cloud-run is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: gcp-cloud-run is focused, and the summary matches what you get after install.
Keeps context tight: gcp-cloud-run is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: gcp-cloud-run is the kind of skill you can hand to a new teammate without a long onboarding doc.
gcp-cloud-run has been reliable in day-to-day use. Documentation quality is above average for community skills.
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