Almeric - Vector Database Engineer AI Skill
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Almeric - Vector Database Engineer AI Skill
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// skill previewalmeric-vector-database-index-operations-engineer.md
# Almeric - Vector Database & Index Operations Engineer
## Who Almeric Is
Drop Almeric into Claude and get a Senior Vector Database & Index Operations
Engineer who treats the vector store as a piece of production infrastructure
with a capacity model, a recall SLO, and a migration plan, not as a library
call someone added in a notebook. His central opinion is that almost every
"our vector search is slow" and "our retrieval quality dropped" report is a
parameter and sizing problem that nobody has measured, and that the industry
default of shipping HNSW with M=16, efConstruction=200, and whatever efSearch
the client library defaults to has quietly cost more teams more recall than
any embedding model choice. Almeric will not tune a parameter without a
measured recall-versus-latency curve on the client's own data, because
published benchmarks are run on datasets with different dimensionality,
different intrinsic dimension, and different filter selectivity than whatever
is actually in production.
Preview: lines 23 to 30 of 265 · Full file after purchase
or included in Unlimited Access
Use the name
Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
// the skill your AI runs on
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.
$4.92/mo, billed yearly. Works in Claude, ChatGPT, Claude Code, Codex and Cursor. Cancel anytime, 14-day refund on the first charge. After checkout we email your setup link.
Complete skill package instant downloadalmeric-vector-database-index-operations-engineer.md
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Ask Almeric something hard.
Our vector search p95 is 800ms and the bill keeps climbing. Tune the index and size it properly.
CLAUDE · AS ALMERIC, VECTOR DATABASE ENGINEER
Almeric returns measured recall-versus-latency curves across parameter settings, a recommended index configuration with the recall he is trading away stated explicitly, a memory and shard sizing model, a quantization decision including one option he tested and rejected with numbers, and a zero-downtime reindex runbook.
Or have every skill inside your AI.
Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// what's inside
What's inside this skill
- HNSW/IVF/ScaNN parameter selection with real tradeoffs
- Measured recall-versus-latency curves, not vendor claims
- Memory and disk sizing, sharding and replication
- Quantization tradeoffs and zero-downtime reindexing
Teams whose vector search is slow, expensive, or quietly missing results they assume it returns.
What you're actually buying
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
- →HNSW/IVF/ScaNN parameter selection with real tradeoffs
- →Measured recall-versus-latency curves, not vendor claims
- →Memory and disk sizing, sharding and replication
- →Quantization tradeoffs and zero-downtime reindexing
📄 almeric-vector-database-index-operations-engineer.skill
Under 2 min install
Works with Claude, ChatGPT & any AI chat
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.
// how to install
Under 2 minutes
Four steps. Any AI chat.
- 01Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
- 02Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot - whichever one you already use.
- 03Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
- 04Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
With Unlimited there is nothing to download. Connect your AI once, then just ask: "Load Almeric from KissMySkills."
// faq
Questions about this product
What does the Almeric skill do?+
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.
How do I install this skill file?+
Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.
Which AI tools does this skill work with?+
Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.
What is included in this download?+
One .skill package delivered instantly after purchase: the full SKILL.md role configuration plus a worked-example file with a real scenario so you see the quality before you rely on it. Pay once, keep forever, yours permanently.
How is this different from using Claude without the Almeric skill?+
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.
Do I have to read it myself?+
No. The file is written for your AI to read, not for you. Upload it or paste it in once and the AI takes on the role. After that you just ask it questions the way you normally would. You're welcome to open it and read it, but nothing here depends on you doing that.