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Databases AI Skills

Discover Databases skills, compare source repositories and read the instructions for each workflow.

Categories: Databases

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GitHub

nginx-request-logging

benchflow-ai

Guidance for configuring Nginx web servers with custom logging, rate limiting, and static content serving. This skill should be used when tasks involve setting up Nginx server blocks, configuring custom log for...

GitHub

pypi-server

benchflow-ai

Guidance for creating Python packages and serving them via a local PyPI server. This skill applies when tasks involve building Python packages (with pyproject.toml or setup.py), setting up local package reposit...

GitHub

modal-gpu

benchflow-ai

Run Python code on cloud GPUs using Modal serverless platform. Use when you need A100/T4/A10G GPU access for training ML models. Covers Modal app setup, GPU selection, data downloading inside functions, and res...

GitHub

maven-build-lifecycle

benchflow-ai

Use when working with Maven build phases, goals, profiles, or customizing the build process for Java projects.

GitHub

safety-interlocks

benchflow-ai

Implement safety interlocks and protective mechanisms to prevent equipment damage and ensure safe control system operation.

GitHub

docx

benchflow-ai

Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx file...

GitHub

openssl

benchflow-ai

Expert guidance for OpenSSL operations including certificate generation, key management, CSR creation, certificate verification, encryption, and PKI operations. Use this when working with SSL/TLS certificates,...

GitHub

docx

benchflow-ai

Word document manipulation with python-docx - handling split placeholders, headers/footers, nested tables

GitHub

dc-power-flow

benchflow-ai

DC power flow analysis for power systems. Use when computing power flows using DC approximation, building susceptance matrices, calculating line flows and loading percentages, or performing sensitivity analysis...

GitHub

pubchem-database

benchflow-ai

Query PubChem via PUG-REST API/PubChemPy (110M+ compounds). Search by name/CID/SMILES, retrieve properties, similarity/substructure searches, bioactivity, for cheminformatics.

GitHub

exoplanet-workflows

benchflow-ai

General workflows and best practices for exoplanet detection and characterization from light curve data. Use when planning an exoplanet analysis pipeline, understanding when to use different methods, or trouble...

GitHub

planning-with-files

benchflow-ai

Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool cal...

GitHub

maven-plugin-configuration

benchflow-ai

Use when configuring Maven plugins, setting up common plugins like compiler, surefire, jar, or creating custom plugin executions.

GitHub

nginx-default-conf

benchflow-ai

Generates nginx.default.conf for nginx conf.d directory configuration. Serves static files from /usr/share/nginx/html.

GitHub

nanogpt-training

benchflow-ai

Train GPT-2 scale models (~124M parameters) efficiently on a single GPU. Covers GPT-124M architecture, tokenized dataset loading (e.g., HuggingFace Hub shards), modern optimizers (Muon, AdamW), mixed precision...

GitHub

managed-package-architecture

benchflow-ai

This skill should be used when the user asks to "design package structure", "create managed package", "configure 2GP", "set up namespace", "version management", or mentions managed package topics like "LMA", "s...

GitHub

lomb-scargle-periodogram

benchflow-ai

Lomb-Scargle periodogram for finding periodic signals in unevenly sampled time series data. Use when analyzing light curves, radial velocity data, or any astronomical time series to detect periodic variations....

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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