Skill UI

This skill generates Mermaid diagrams to create visual organizational tools specifically designed for neurodivergent individuals, particularly those with ADHD. It helps externalize executive functions, reducing cognitive overwhelm by breaking down complex tasks into compassionate, manageable micro-steps. The tool auto-detects signs of distress and supports multiple accessibility modes (e.g., colorblind-safe, monochrome), making it useful for project planning, decision mapping, and personal productivity tracking.

Designs comprehensive, production-ready observability strategies by integrating metrics, logs, and traces. This tool guides the setup of SLI/SLO frameworks, optimizes noisy alerting configurations, and generates detailed dashboards, ensuring deep visibility into service health and performance.

A comprehensive toolkit designed to manage the complex data flow associated with Perplexity search workflows. This skill implements critical security measures, including PII sanitization in user queries, validates external citations for accuracy, optimizes performance via result caching with freshness policies, and manages conversation context to maintain coherence and reliability. Essential for building robust, compliance-aware AI applications.

This tool is designed to collect comprehensive diagnostic evidence for troubleshooting Perplexity API issues. It automatically gathers critical environment details (OS, Node/Python versions), tests API connectivity, and captures redacted configuration settings. The resulting secure bundle is ideal for submitting detailed support tickets or sharing with technical teammates.

A comprehensive toolkit designed for Product Heads to define, cascade, and align Objectives and Key Results (OKRs) across the entire organization. This tool supports quarterly strategic planning, allowing users to define company-wide goals, decompose them into product objectives, and further cascade them to specific team goals. It measures critical alignment scores (vertical, horizontal) and generates structured roadmaps for maximizing organizational excellence and strategic focus.

Document describes structured prompts, chain-of-thought guidance, few-shot examples, system prompt design, and tooling advice for building reliable prompt engineering workflows in LLM-augmented products.

A comprehensive workflow designed for advanced voice agent and telephony operations using Retell AI. This tool facilitates complex call management, including running outbound campaigns, handling call transfers, and managing concurrent calls. Users can list call details, retrieve high-fidelity recordings, and access full transcripts to analyze communication outcomes.

Guides senior data scientists through designing controlled experiments, engineering structured features, training ML models, and translating results into decisions using Python, R, SQL, and tools like Scikit-learn, XGBoost, and MLflow.

A comprehensive tool designed to audit the quality, relevance, and redundancy of all Claude skills and commands. It supports two modes: a rapid incremental scan for recently changed skills, and a deep full stocktake using AI judgment and expert checklists to assess viability (Keep, Improve, Update, Retire, Merge).

Provides a comprehensive guide and framework for building robust, production-grade Slack applications. Utilizes the recommended Bolt framework to handle authentication, event routing, and request verification across Python, JavaScript, and Java. Covers advanced topics like interactive UI design using Block Kit, implementing slash commands, managing OAuth flows, and integrating with Workflow Builder. Ideal for developers building sophisticated, enterprise-level team communication tools.

A comprehensive diagnostic bundle designed for developers integrating with the Speak API. It systematically collects critical information, including authentication status, audio format validation (checking codecs, sample rates, and file size using ffprobe), and network connectivity tests for both Speak and OpenAI endpoints. Use this tool when troubleshooting complex language learning integration issues or verifying API setup.

A specialized reverse-engineering skill designed to extract comprehensive functional and non-functional specifications from existing, undocumented, or legacy codebases. It operates by analyzing code structure, tracing data flows, and identifying observable behaviors. The output is structured using EARS (Easy Approach to Requirements Syntax), providing clearer requirements documentation, architectural diagrams, and dependency maps for onboarding or system modernization.