Skill UI

This orchestrator converts complex markdown files (specs, reports, code reviews, slide decks) into single-file, lightly interactive HTML. It intelligently classifies the input content and routes it to the appropriate sub-skill (document, review, or slides), ensuring that long-form technical artifacts maintain density, hierarchy, and shareable structure in a browser-native format.

A specialized skill for achieving asymptotic performance gains when classical algorithms are already near optimal. It leverages advanced mathematical techniques and probabilistic data structures (e.g., Bloom Filters, HyperLogLog, FFT, MinHash/LSH) to handle massive datasets (n ≥ 10⁶) by accepting bounded approximations or exploiting deep structural properties. Requires strict adherence to error parameter and complexity justification protocols.

Transforms an exported JSON list of open pull requests into a structured, blockers-first digest. Ideal for standup meetings or triage sessions, this tool identifies which PRs are blocked (due to failing checks, required changes, or staleness) and which are ready to merge, providing a concise summary count for quick status updates.

A comprehensive REST API for sending and receiving multi-channel messages, including iMessage (blue bubbles), SMS, and RCS. This skill allows developers to integrate messaging capabilities into server-side applications, supporting advanced features such as group messaging, reactions, typing indicators, and status callbacks. It also handles inbound messages via webhooks, making it ideal for building robust, real-time communication services that require programmatic control over messaging lifecycles.

This skill helps developers fix social sharing previews, ensuring that URLs render as rich, consistent cards across major platforms like Facebook, LinkedIn, X/Twitter, and WhatsApp. It provides standardized implementation for Open Graph (OG) tags and Twitter cards, crucial for improving SEO and discoverability.

This skill acts as an expert architect for designing robust, production-grade data pipelines. It guides users through three intelligent extraction modes: API-Driven (Firecrawl), Local Python, and Hybrid. It enforces industry best practices, including comprehensive input validation, secure API key handling, pagination logic, and resource budget tracking, ensuring reliable data retrieval from web sources or local files.

A powerful tool for designing and writing deterministic, multi-agent workflow scripts in JavaScript. It allows users to orchestrate complex, repeatable, multi-step tasks using advanced patterns like fan-out, pipelines, loops, and judge-panels. Ideal for automating sophisticated business processes that require multiple specialized sub-agents and robust context management.

This skill serves as an alias for the comprehensive debugging toolkit, enabling users to perform smart, guided debugging sessions. It assists in identifying errors, improving code quality, and walking through complex technical processes. Use it when you need structured help with debugging code in a defined environment.

This tool converts markdown PR writeups containing unified diff blocks and severity-tagged callouts into a single, structured, 2-column HTML review document. It generates a jump-navigation, displays the diff on the left and detailed annotations on the right, and enforces a mandatory named reviewer footer, ensuring WCAG compliance.

This skill simulates a Python project architecture expert, specializing in scaffolding full, production-ready applications. It generates complete project structures using modern tools like FastAPI, Django, and uv, enforcing best practices and type hinting. Use it when starting a complex, multi-component Python project from scratch.

This tool audits the activation metadata of coding skills used by AI agents. It grades skills (A-F) based on description clarity, simulates which skill a prompt will trigger, and identifies metadata collisions where one skill might silently overshadow another. It is essential for ensuring robust, predictable, and reliable AI agent behavior during development and CI processes.

This skill helps manage and execute steps within a Test-Driven Development (TDD) workflow cycle. Note that this skill serves as an alias for `tdd-workflows-tdd-cycle`, maintaining discoverability. It guides users through the complete TDD development cycle, ensuring structured testing and validation steps.