An expert SEO auditing skill that provides comprehensive guidance for diagnosing and improving website search engine optimization. It covers technical SEO (crawlability, indexation, Core Web Vitals), on-page optimization (titles, meta descriptions, headings), content quality assessment (E-E-A-T), and includes reference materials for AI writing detection and answer engine optimization patterns.

A comprehensive guide for creating SEO-driven pages at scale using templates and data. Covers 12 programmatic SEO playbooks including templates, curation, comparisons, locations, integrations, and more, with implementation frameworks and quality checks.

This skill helps with SaaS pricing decisions, including choosing value metrics, designing tier structures, conducting pricing research (Van Westendorp, MaxDiff analysis), and optimizing pricing pages. It provides comprehensive frameworks for packaging strategy and monetization.

This skill provides a curated library of 139 proven marketing strategies for SaaS products. It helps users discover relevant marketing tactics based on their company stage, budget, and growth goals, offering implementation guidance and expected outcomes for each approach.

A comprehensive copywriting skill that helps write and improve marketing copy for websites, landing pages, and product pages. It provides proven headline formulas, page structure templates, CTA guidelines, and writing principles to create clear, compelling copy that drives conversions.

This skill provides expert guidance on optimizing signup and registration flows. It covers reducing friction, field-by-field optimization, mobile considerations, trust elements, and measurement strategies to increase signup completion rates.

This skill helps design and optimize customer referral and affiliate programs. It provides frameworks for incentive structures, commission models, program launch checklists, email templates, and metrics tracking without any executable code or external integrations.

This skill guides users through creating a comprehensive product marketing context document. It can auto-draft content by analyzing the codebase or walk through sections conversationally, capturing information about target audience, competitive landscape, differentiation, customer language, and brand voice that other marketing skills can reference.

This skill provides expert guidance on creating and optimizing popups, modals, overlays, slide-ins, and banners for conversion purposes. It covers trigger strategies, design best practices, copy formulas, compliance requirements, and measurement approaches for various popup types including email capture, lead magnets, discounts, and exit intent.

This skill provides expert guidance on optimizing in-app paywalls, upgrade screens, and freemium conversion flows. It covers best practices for timing, design, pricing presentation, copy, and A/B testing experiments to convert free users to paid subscribers.

This skill helps create, optimize, and scale paid advertising campaigns across major platforms including Google Ads, Meta, LinkedIn, Twitter/X, and TikTok. It provides ad copy frameworks, audience targeting strategies, campaign structure best practices, and comprehensive platform setup checklists for efficient customer acquisition.

This skill provides a comprehensive library of 70+ psychological principles and mental models for marketing applications. It covers buyer psychology, persuasion techniques, pricing psychology, and growth frameworks to help create more effective marketing strategies based on behavioral science.

This skill helps users plan product launches, feature announcements, and go-to-market strategies. It covers the ORB framework (Owned, Rented, Borrowed channels), five-phase launch approaches, Product Hunt strategy, and ongoing launch momentum tactics with detailed checklists and real-world case studies.

This skill helps plan and evaluate free tools (calculators, generators, analyzers) as marketing assets. It provides frameworks for ideation, lead capture strategy, SEO considerations, MVP scoping, and tool evaluation scorecards to determine if a free tool investment is worthwhile.

Form CRO is an expert guide for optimizing form completion rates and conversions. It provides best practices for lead capture forms, contact forms, demo requests, quote forms, and surveys, covering field optimization, layout design, error handling, mobile UX, trust elements, and A/B testing strategies.

This skill helps users create and optimize email marketing sequences including welcome series, lead nurture campaigns, re-engagement flows, and onboarding emails. It provides comprehensive templates, copy guidelines, and best practices for email automation without requiring any external integrations.

A content strategy planning skill that helps users develop content pillars, topic clusters, and prioritized content ideas. It provides frameworks for searchable vs shareable content, keyword research by buyer stage, and content ideation from various sources like customer research, keyword data, and competitor analysis.

Guides users through planning and documenting A/B tests with statistical rigor. Includes hypothesis frameworks, sample size reference tables, test design templates, and analysis checklists to ensure valid experimentation results.

Comprehensive toolkit for preparing ISO 13485 certification documentation for medical device Quality Management Systems. Use when users need help with ISO 13485 QMS documentation, including (1) conducting gap analysis of existing documentation, (2) creating Quality Manuals, (3) developing required procedures and work instructions, (4) preparing Medical Device Files, (5) understanding ISO 13485 requirements, or (6) identifying missing documentation for medical device certification. Also use when users mention medical device regulations, QMS certification, FDA QMSR, EU MDR, or need help with quality system documentation.

This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic recommendations that inform computational approach decisions such as whether to use parallel processing (joblib, multiprocessing), out-of-core computing (Dask, Zarr), GPU acceleration (PyTorch, JAX), or memory-efficient strategies. Use this skill before running analyses, training models, processing large datasets, or any task where resource constraints matter.

Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.

Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable feedback.

Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.

Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and academic database queries.

Access and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.

Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.

This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.

Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.

Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.