Guide to optimizing vector indexes for production performance.
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Guide to optimizing vector indexes for production performance.
Refer to resources/implementation-playbook.md for detailed patterns, checklists, and templates.
resources/implementation-playbook.md for detailed patterns, checklists, and templates.AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionvector-index-tuningExecute the skills CLI command in your project's root directory to begin installation:
Fetches vector-index-tuning 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:
Restart Cursor to activate vector-index-tuning. Access via /vector-index-tuning 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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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.
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
Useful defaults in vector-index-tuning — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: vector-index-tuning is focused, and the summary matches what you get after install.
I recommend vector-index-tuning for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
vector-index-tuning fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
vector-index-tuning reduced setup friction for our internal harness; good balance of opinion and flexibility.
vector-index-tuning has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for vector-index-tuning matched our evaluation — installs cleanly and behaves as described in the markdown.
vector-index-tuning reduced setup friction for our internal harness; good balance of opinion and flexibility.
vector-index-tuning is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend vector-index-tuning for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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