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qdrant/skills

Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, Java

Python ◇ agent-skills Apache-2.0
★257STARS
⑂30FORKS
!8ISSUES
🏆#11,242GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,434

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

skills gained 10 stars in the last 30 days, about 1 a day, and now has 257. It is about 1 year old and has averaged roughly 257 stars a year. It ranks #1,434 among Python repositories and #11,242 across all languages on GitHubRepo.

Trending Record

skills has maintained a continuous presence across global trending indexes, peaking at #10971. Below is the 30-day activity profile:

💡 Overview

skills is an open-source project written in Python: Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, Java.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, ai-agents, claude-code. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install skills

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

skills coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with skills.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install skills using your package manager: `pip install skills`

2

Initialize your project workspace or configuration file for skills.

3

Import skills into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `skills --help` to verify successful setup.

👍 Strengths

Active community backing with 257 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡
Open Source Alternative to Cursor Replaces proprietary subscriptions ($20/month per user) with self-hosted freedom.
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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

qdrant/skills is currently ranked #11,242 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#11,223 carderne/pi-sandbox TypeScript ★ 258 Compare ↗
#11,223 heartached/Noctis C# ★ 258 Compare ↗
#11,223 hjinco/synch TypeScript ★ 258 Compare ↗
#11,223 rezigned/upmd Rust ★ 258 Compare ↗
#11,223 grafana/ai-sdk Go ★ 258 Compare ↗
#11,242 qdrant/skills This Project Python ★ 257
#11,242 mephistorb/mephisto Ruby ★ 257 Compare ↗
#11,242 simos/keyboardlayouteditor Python ★ 257 Compare ↗
#11,242 httpdss/collectd-web Perl ★ 257 Compare ↗
#11,242 philipmat/discogs-xml2db C# ★ 257 Compare ↗
#11,242 segmentio/analytics-php PHP ★ 257 Compare ↗
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Frequently Asked Questions

What does skills do? +

Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, Java

What language is skills written in? +

The primary language is Python. Topics include: agent-skills, ai-agents, claude-code, codex, cursor.

Is skills actively maintained? +

Yes, the last recorded push was on Oct 14, 2026 with 8 open issues being tracked.

How many stars does skills have? +

skills has 257 stars and 30 forks on GitHub.

How does skills rank among GitHub repositories? +

With 257 stars, qdrant/skills is ranked #11,242 globally across all repositories tracked on GitHubRepo and #1,434 among Python projects.

What license is skills distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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