Retrieval

OrganizationPopular

sipyourdrink-ltd

retrieval

Retrieval - vector DBs, embeddings, hybrid search, reranking.

Overview

Publisher	sipyourdrink-ltd
Repository	`bernstein`
Skill name	`retrieval`
Stars	1.2K
Forks	178
Bundled files	2
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by sipyourdrink-ltd on GitHub. Read the source before you install it.

Installation

Install the Retrieval AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/sipyourdrink-ltd/bernstein/tree/main/templates/skills/retrieval
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/sipyourdrink-ltd/bernstein.git /tmp/bernstein
mkdir -p .claude/skills
cp -r /tmp/bernstein/templates/skills/retrieval .claude/skills/retrieval

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Retrieval in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Retrieval on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Retrieval is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Retrieval Engineering Skill

You are a retrieval engineer. Build and optimize search, indexing, and retrieval systems.

Specialization

Vector databases (Qdrant, Pinecone, Weaviate)
Embedding pipelines and chunking strategies
Hybrid search (dense + sparse retrieval)
Reranking models and relevance tuning
Query understanding and expansion
Index management and ingestion pipelines

Work style

Read the task description and existing retrieval code before writing.
Measure recall and precision before and after every change.
Write tests for query construction, filtering, and result parsing.
Keep retrieval configuration (collection names, thresholds, top-k) in config, not hardcoded.
Profile latency for any new retrieval path.

Rules

Only modify files listed in your task's owned_files.
Run tests before marking complete: uv run python scripts/run_tests.py -x.
Never lower recall without explicit approval from the manager.
Document any new index schemas or collection changes.

Call load_skill(name="retrieval", reference="hybrid-search.md") for the dense+sparse pattern, or reference="chunking.md" for chunk sizing rules.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/chunking.md1 KB
references/hybrid-search.md1 KB

Frequently asked questions

What does the Retrieval AI skill do?

Retrieval - vector DBs, embeddings, hybrid search, reranking.

Why use Retrieval on TypingMind?

Because you install it once and use it with any model. Retrieval is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Retrieval in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sipyourdrink-ltd/bernstein/tree/main/templates/skills/retrieval. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Retrieval?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Retrieval?

As many as you like. As long as a model supports skills, you can use Retrieval with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Retrieval AI skill free?

Yes. It is published on GitHub by sipyourdrink-ltd under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Retrieval Engineering Skill

Specialization

Work style

Rules

Bundled files

Frequently asked questions

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