Claude Skills by LoopyLuci

Use when designing SaaS pricing models.

Use when developing pricing strategies and models.

Use when setting or adjusting prices for a product or service

Use when escalating privileges on compromised systems.

Use when turning a product idea into a manual-first process

Use when implementing product analytics and user tracking.

Use when planning and executing product launches.

Use when implementing product-led growth strategies.

Use when managing products and building roadmaps.

Use when measuring product-market fit.

Use when creating product marketing strategies.

Use when prioritizing product roadmaps.

Use when setting up project management systems and flows.

Generate project templates with lint CI and structure

Use for project scaffolding. Folder structure, lint, CI.

Use when collecting metrics with Prometheus.

Use when writing prompts for code generation tasks.

Use when designing prompts for LLMs.

Use when optimizing and automating prompt engineering.

Use Hypothesis to find edge cases with generated inputs

Use when designing protobuf schemas.

Use when identifying app protocols with nDPI signatures.

Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.

Use when building throwaway prototypes to answer specific design questions

Use when building HTTP/SOCKS proxy with filtering.

Use when speaking at tech conferences.

Use when building infra with Pulumi.

Use when writing advanced Python: async, decorators, metaprog.

Use when implementing async Python patterns.

Run async code alongside CustomTkinter GUI without crashes

Use when building CLI tools with Click.

Use when implementing context managers.

Use when doing data science with Python: pandas, numpy, viz.

Use when using dataclasses and attrs.

Debug Python: pdb REPL + debugpy remote (DAP).

Use when implementing advanced Python decorators.

Use when implementing properties.

Use when implementing Python generators and coroutines.

Use when making HTTP requests with httpx.

Use when implementing Python logging.

Use when implementing metaclasses and descriptors.

Use when orchestrating Sentinel from Python scripts.

Build+verify Python pkgs: CLI/GUI/TUI, async, xplat.

Use when implementing python packaging.

Use when validating data with Pydantic.

Use when writing advanced Python regex.

Use when building terminal UIs with Rich.

Use when implementing serialization.

Use when implementing advanced Python testing.

Use when implementing advanced Python typing patterns.