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Lifestyle AI Skills

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

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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....

GitHub

tdd

HoangNguyen0403

Enforces Test-Driven Development (Red-Green-Refactor) for rigorous code quality.

GitHub

debugging-expert

HoangNguyen0403

Systematic troubleshooting using the Scientific Method (Observe, Hypothesize, Experiment, Fix).

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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