This skill transforms article titles into marketable, attention-grabbing headlines that follow the `<Title>: <Subtitle>` format while maintaining accuracy and avoiding deception. The skill analyzes article content deeply, generates five diverse title candidates using proven copywriting formulas, eva...
WHAT YOU BECOME
Perfect for these scenarios
Zero-config deployment for Laravel, Symfony, and other PHP frameworks with FrankenPHP.
Upgrade old PHP applications to modern HTTP/2 and HTTPS without code changes.
Serve REST APIs faster with built-in HTTP/2 and concurrent request handling.
Run PHP apps locally without Docker or Apache/Nginx setup.
MEASURED GAIN
Proven benefits and measurable impact
Eliminate hours of server configuration with FrankenPHP's all-in-one solution.
Faster request processing thanks to native HTTP/2 and PHP worker management.
Deploy PHP apps in minutes, not hours, with FrankenPHP's simplicity.
WHAT YOU GET
Files, tags and the three-step install
Tip: Read the documentation and the code before first use, so you know what it does and which permissions it needs.
NEXT SCRIPTS
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Generate and maintain AGENTS.md files following the public agents.md convention. Use when creating documentation for AI agent workflows, onboarding guides, or when standardizing agent interaction patterns across projects.
Expert on Anthropic Claude API, models, prompt engineering, function calling, vision, and best practices. Triggers on anthropic, claude, api, prompt, function calling, vision, messages api, embeddings
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.