Skill UI

Analyzes text to determine emotional tone and polarity, classifying passages as positive, negative, or neutral; ideal for processing reviews, social media posts, surveys, or any feedback that requires opinion mining or emotion detection.

This powerful tool calculates detailed cryptocurrency tax obligations by processing transaction history from multiple exchanges. It supports various cost basis methods (FIFO, LIFO, HIFO) to accurately determine capital gains and losses. Key features include identifying staking, airdrop, and mining income, and generating comprehensive reports compatible with Form 8949, simplifying complex tax filing processes.

Comprehensive guidance for medical device manufacturers navigating complex FDA regulatory requirements. Covers device classification, submission pathways (510(k), PMA, De Novo), Quality Management System Regulation (QMSR/ISO 13485), HIPAA compliance, and cybersecurity best practices. Use this when determining the correct regulatory route for a new or modified device.

A comprehensive runbook for rapidly responding to PostHog integration failures. It provides detailed triage steps and troubleshooting guides for common API errors (401, 429, etc.), determining the root cause, and implementing graceful degradation patterns to ensure core application functionality remains stable during an outage.

A comprehensive guide to modern React UI patterns. It covers best practices for managing application states, including determining when to use skeleton loaders vs. spinners, implementing robust error handling hierarchies (inline, toast, banner), and designing effective empty states. Essential for building high-quality, user-friendly components that handle asynchronous data gracefully.

A practical decision framework for determining whether to use regular expressions or Large Language Models (LLMs) when parsing structured text (e.g., forms, quizzes, invoices). It recommends starting with deterministic, low-cost regex for 95-98% of structured data, and only invoking expensive LLM calls for identifying and validating ambiguous edge cases, optimizing both cost and accuracy.

This skill provides comprehensive guidance and tools for end-to-end software release management. It automates critical tasks such as generating changelogs from conventional commits, determining semantic version bumps (Major/Minor/Patch), assessing release readiness, and planning complex deployment workflows (e.g., Git Flow). Ideal for teams adopting robust DevOps practices.

This skill acts as a Senior Solutions Architect and Tech Consultant for AI projects. It diagnoses a workspace—determining if it is a pure new project or an evolving system. It analyzes the existing stack and pain points to chart the optimal technical roadmap, generating detailed backlogs and implementation plans to ensure scalable, high-quality development.

This router acts as an index and dispatcher for four specialized business and growth skills. It routes requests across the entire B2B lifecycle, covering customer success management (churn risk, expansion), sales engineering (RFP analysis, PoC planning), revenue operations (pipeline forecasting, GTM efficiency), and contract writing. Use this when a growth or revenue request requires determining the correct specialized skill module.

This router aggregates two specialized finance skills: general financial analysis (DCF, ratio analysis, budgeting) and SaaS operational metrics (ARR, LTV, churn). Use this skill when a user's financial request requires determining whether the analysis should focus on traditional statement-level financials or modern subscription-based SaaS performance indicators.

A forensic tool for performing post-mortem analysis on AI-assisted coding sessions. It goes beyond simply stating what was done, determining *why* work deviated (e.g., spec ambiguity, repo friction, agent error), identifying scope creep, and classifying rework patterns. It provides evidence-backed recommendations to improve prompts, codebase health, and future development workflows.

A comprehensive guide for digital forensics professionals to investigate compromised Docker containers. It covers best practices for preserving container state, analyzing image layers, reviewing runtime logs, and examining host system artifacts to identify evidence of malicious activity, container escapes, or misconfigurations.