Skill UI

A comprehensive coach guiding developers through the entire SaaS lifecycle: from initial idea and scaffolding (Next.js) to building MVP features, integrating AI, setting up authentication, implementing payment systems (Stripe/LemonSqueezy), and achieving global deployment (Cloudflare/Vercel). Focuses on pragmatic, 'ship first' architecture decisions for solo developers and indie hackers.

This guide teaches advanced search techniques for identifying specific video games. It emphasizes using highly discriminative technical details such as specific platforms (e.g., DOS, NES, PS4), distribution methods (shareware), game engines, era, and detailed review scores from niche sites. By combining multiple constraints (Platform + Era + Detail), users can dramatically narrow down search results, even locating specific developers or artists involved in the game's creation.

Integrate Benchling's Python SDK and REST v2 API to automate life-science lab data: registry entities (DNA, RNA, proteins), inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries.

Detects host inventory including CPU, memory, disk, and accelerator limits for resource-aware planning. Generates a redacted JSON snapshot without stress tests. Supports Python 3.11+ on Linux, macOS, and Windows. Includes workload planning helpers and conservative capacity estimation.

Accelerate scientific Python code on NVIDIA hardware using CUDA and RAPIDS libraries. Optimizes NumPy, pandas, scikit-learn, and ML workloads for GPU execution. Includes profiling, memory management, and kernel optimization to ensure correctness and performance gains.

Develop and review laboratory automation resources, liquid-handling plans, and offline simulations. Use for PyLabRobot protocols or API questions with explicit operator safety gates for physical execution. Supports hardware-agnostic frontends and device-specific backends for lab automation development.

Qiskit is a Python framework for building, simulating, and executing quantum circuits. It supports local simulation, noisy simulation, and IBM Quantum hardware execution. Users can utilize V2 primitives like Sampler and Estimator for variational algorithms and quantum machine learning tasks.

Generate comprehensive software requirements specifications following EARS format. Analyzes project context, creates acceptance criteria, and ensures scope boundaries are clearly defined before implementation. Supports both greenfield and brownfield projects with sub-agent delegation for codebase exploration and domain research.

This skill generates actionable implementation tasks from product specifications, requirements, and design documents. It ensures tasks are properly sized, mapped to requirements, and include clear completion criteria. It supports parallel or sequential execution modes and includes a sanity review gate to verify task executability before finalizing the task plan.

This guide demonstrates how to implement robust Role-Based Access Control (RBAC) for Algolia Enterprise environments. It covers defining granular permissions using ACLs, generating Secured API Keys for strict multi-tenant data isolation, and building middleware to validate service permissions, ensuring the principle of least privilege in large-scale applications.

Implements an iterative development workflow using the Anima SDK. This tool allows developers to quickly generate, compare, and preview code outputs from Figma designs across multiple frameworks (React, Vue, HTML/CSS) in a local environment. Ideal for rapid prototyping, cross-framework comparison, and refining design-to-code implementation.

This comprehensive guide addresses common and complex errors encountered when automating Apple Notes on macOS using JXA or osascript. It covers three major areas: TCC permission denials, AppleEvent communication failures, and iCloud synchronization issues. The document provides a detailed error reference table, root cause analysis, tested fixes, and diagnostic scripts to help developers successfully automate Notes tasks.