Skill UI

This skill provides comprehensive financial oversight for internal R&D programs and portfolios. It facilitates multi-period budget planning, applying indirect F&A rates, and tracks critical metrics like burn rate and runway against value-inflection milestones. It also supports the capitalization vs. expense determination process based on established accounting standards (IAS 38/ASC 730). Crucially, the tool only provides decision support and never books entries or determines final accounting treatment.

This powerful orchestrator guides the planning, funding, scoping, and synthesis of enterprise research across four critical domains: clinical R&D, finance, market analysis, and product usability. It acts as a central hub, routing complex inquiries to specialized sub-skills and generating structured digests with actionable insights and critical 'grill challenges' for operational rigor.

A critical discipline for managing expenses when integrating paid AI or inference APIs. This guard treats dollar cost as a third complexity dimension, mandating the definition of cost contracts (max calls per run, max budget per run, max budget per day). It enforces best practices for bounding loops, retries, and fan-out, ensuring that code bugs cannot lead to unexpected overspending. Best practice requires configuring hard caps both in the code and at the provider dashboard for defense in depth.

A powerful Node CLI tool for sending both SMS and iMessage directly from a shell environment, script, or automation hook. It simplifies outbound communication by handling account setup and message sending without requiring a dedicated API client or webhook server. Ideal for cron jobs, CI/CD pipelines, and agent turn notifications.

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 captures and persists critical user decisions, project constraints, and architectural choices across multiple sessions and agents. It saves this context into a structured memory database (`mdbase`), ensuring that future development steps or agents can retrieve the original intent without re-deriving it from scratch. Ideal for documenting project rules, tech stacks, and design rationale.

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 diffs a live web page's accessibility violations against a specified baseline. It can compare changes against uncommitted local stashes or a specific Git branch. The report focuses exclusively on changes, highlighting new violations introduced, violations that have been fixed, and the count of pre-existing issues. Ideal for CI/CD pipelines and development auditing.

This skill audits a live web page against WCAG standards. It precisely locates accessibility violations, providing a detailed, selector-grounded worklist of necessary fixes without making any changes to the code. Ideal for QA engineers and developers needing a comprehensive, non-destructive report of broken accessibility elements.

Manages the deployment of local applications and websites to the Vercel platform. This skill intelligently detects the project's current state (e.g., if it is already linked or if git is available) and guides the user through the optimal deployment method. It prioritizes establishing a permanent git-push connection to facilitate a seamless Continuous Integration/Continuous Deployment (CI/CD) workflow. Use when the user explicitly requests deployment actions.

Polis Protocol transforms static AI agent workflows into a self-improving, dynamic team environment. It uses a learning router to assign tasks based on an agent's historical track record and effectiveness on specific domains, rather than fixed roles. It is vendor-agnostic, allowing diverse agents (e.g., Claude, Gemini) to collaborate under a unified, auditable governance structure where agents can propose and vote on amending the protocol's core rules.

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.