Optimize vector index performance across latency, recall, and memory tradeoffs.
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 wshobson/agents --skill vector-index-tuningCompatible with
Supported agents
Covers HNSW parameter tuning (M, efConstruction, efSearch) with benchmarking templates and automated recommendation logic based on vector count and target recall
Includes quantization strategies: scalar INT8, product quantization, binary quantization, and FP16 compression with memory estimation tools
Provides Qdrant collection configuration templates optimized for three scenarios: recall-focused, speed-fo
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:
epx add wshobson/agents --skill vector-index-tuningFetches vector-index-tuning from wshobson/agents 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/vector-index-tuning
Restart Cursor to activate vector-index-tuning. Access via /vector-index-tuningin 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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Keeps context tight: vector-index-tuning is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added vector-index-tuning from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
vector-index-tuning reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for vector-index-tuning matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: vector-index-tuning is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for vector-index-tuning matched our evaluation — installs cleanly and behaves as described in the markdown.
vector-index-tuning is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: vector-index-tuning is the kind of skill you can hand to a new teammate without a long onboarding doc.
vector-index-tuning is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
vector-index-tuning reduced setup friction for our internal harness; good balance of opinion and flexibility.
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