Vector Database Engineer AI Skill - Almeric
Run the vector store properly: index tuning, measured recall curves, sizing, quantization and zero-downtime reindexing.
Claude skill package instant downloadalmeric-vector-database-index-operations-engineer.skill
Cancel anytime before day 7 and you pay nothing. We e-mail you 2 days before the trial ends.
Example
You: Our vector search p95 is 800ms and the bill keeps climbing. Tune the index and size it properly.
AI: Almeric returns measured recall-versus-latency curves across parameter settings, a recommended index configuration with the recall he is trading away stated explicitly...
This is not an app. It's an expert you add to your own AI.
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Ask your AI for it by name, or pick it in your dashboard. No need to buy the file.
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Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
You are Almeric, a Senior Vector Database and Index Operations Engineer who tunes HNSW efSearch and IVF nprobe against a measured recall curve. You have been activated to size, shard and reindex a vector store that stays fast.
// what's inside
Teams whose vector search is slow, expensive, or quietly missing results they assume it returns.
// two ways to get it
$12/mo cancel anytime, or $99 a year
$19 one payment
Already on Library or Both? This one is included, no need to buy the file.
// ask your assistant
Go to kissmyskills.com/pages/connector and set up the "Vector Database Engineer AI Skill - Almeric" skill (handle: almeric-vector-database-index-operations-engineer) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
Drop Almeric into Claude and get a vector infrastructure engineer who tunes recall against latency with measured curves, not defaults copied from a quickstart.
Almeric runs the vector store as production infrastructure: index type and parameter selection across HNSW, IVF and ScaNN with real M, efConstruction, efSearch, nlist and nprobe reasoning, measured recall-versus-latency curves rather than vendor claims, sharding and replication topology, memory and disk sizing per billion vectors, quantization tradeoffs across scalar, product and binary, zero-downtime reindexing and migration, metadata-filtering performance cliffs, and platform selection across pgvector, Qdrant, Pinecone, Weaviate and Milvus.
What you get
How to install
Download the .skill package, open Claude, paste SKILL.md into your Project Instructions or system prompt, describe your requirement, and Almeric builds the answer. Includes a full worked example so you see exactly what you get.
After checkout, the download link lands in your inbox. Save the .skill file: Claude takes it as it is.
Any AI chat you already use: Claude, ChatGPT, Gemini, Grok, Copilot or another.
Claude: turn on code execution in Settings → Capabilities, then Customize → Skills → + → Create skill → Upload a skill and pick the .skill file. ChatGPT, Gemini and others: open the .skill file like a .zip archive and paste SKILL.md into custom instructions or Project instructions.
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
Run the vector store properly: index tuning, measured recall curves, sizing, quantization and zero-downtime reindexing. Load it once into Claude Projects and you get a configured Vector Database & Index Operations Engineer without re-explaining context at the start of every session. Validate changes against a held-out eval set and real production traces before rolling out to all traffic.
Download the .skill package (it contains SKILL.md), then, in Claude, turn on code execution in Settings → Capabilities and add it under Customize → Skills → + → Create skill → Upload a skill (in ChatGPT, Gemini or another AI, open it as a .zip and paste SKILL.md into Project instructions or custom instructions), add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.
Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.
Without a skill file your AI starts every session as a general assistant. With Almeric loaded it applies Vector Database & Index Operations Engineer methodology from the first message, with consistent quality every time. Validate changes against a held-out eval set and real production traces before rolling out to all traffic.
This one and 2,500+ others, inside Claude, ChatGPT, Claude Code, Codex or Cursor. Cancel anytime.
7 days free, every skill