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Browse and install thousands of AI Agent skills in the Killer-Skills marketplace. Supports Claude Code, Windsurf, Cursor, and more.

Discover the world's most comprehensive directory for AI Agent Skills and community-driven MCP Servers (Model Context Protocol). Seamlessly find and install high-quality developer integrations for your Claude Desktop, Cursor, or custom AI agents. From cloud operations to API integrations, explore verified open-source MCP practices to supercharge your AI workflows.

9 available skills

review-pr

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dlt-hub

review-pr is an AI agent skill that automates pull request analysis using the data load tool (dlt) Python library.

5.0k
0
Data

review-pr

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man-group

review-pr is an AI agent skill that performs automated code reviews of ArcticDB pull requests, utilizing context variables and GitHub Actions workflows.

2.2k
0
Finance

recce-mcp-e2e

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DataRecce

recce-mcp-e2e is a full-stack verification toolkit for dbt projects, ensuring data validation and integrity.

447
0
Data

claude-code-review

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DataRecce

claude-code-review is a data-validation toolkit that automates dbt PR review, extracting PR numbers and details, and posting findings to GitHub.

446
0
Data

claude-improve-config

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anam-org

claude-improve-config is a skill that analyzes current sessions for errors and proposes improvements to the .claude configuration for future prevention.

77
0
Data

pina

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synapticore-io

pina is a PyTorch-based library for Physics-Informed Neural Networks, combining PINNs, Neural Operators, and Data-Driven Modeling for solving PDEs.

11
0
Data

rust-cargo

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jrmoynihan

Rust-Cargo is a set of tools for managing dependencies, workspaces, and build configurations in Rust, optimized for flow cytometry analysis.

1
0
Data

commit

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Renkunzhao

Commit is a tool that summarizes current work based on a repository's git state and proposes commit messages, facilitating efficient motion data analysis and version control.

1
0
Data

cran

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JDenn0514

cran is a core survey analysis infrastructure that provides a set of rules and checks for R packages, ensuring seamless project execution and high-quality results.

0
0
Data