Skill UI

Provides C-level strategic guidance for startups deciding on advanced AI implementation. Covers critical decisions including model build-vs-buy analysis (API vs. fine-tune vs. in-house), regulatory compliance risk assessment (EU AI Act, NIST RMF), economic modeling for self-hosting breakeven, and optimal AI team scaling. This is a high-level advisory tool, not a tactical engineering guide.

This skill acts as a comprehensive hybrid router for any research request. It first deterministically classifies the user's intent, delegating the query to specialized modules like Pulse (trends/sentiment), Grants (NIH funding), or LitReview (academic papers). If no specialist matches, it falls back to a robust general search and synthesis workflow. The system ensures routing transparency, provides comprehensive reports, and includes full citations and an audit log.

This skill helps structure the foundational commercial policies governing discounting off list price. It builds three deterministic tools: a 4D discount matrix builder (considering ARR, term length, payment terms), an exception flow router with compensating commitments, and a policy linter to detect governance gaps. It is designed for Heads of Commercial and RevOps to establish defensible rules of engagement, ensuring margin adherence and preventing discount drift, rather than for approving individual deals.

A specialized tool for internal operations leaders to document complex, end-to-end business workflows (e.g., procurement, onboarding, claims adjudication) using BPMN-style notation. It applies Lean and Six Sigma principles to measure cycle time, quantify value-add ratios, and deterministically identify process bottlenecks and root causes, moving beyond simple pipeline tracking.

This is a comprehensive lookup reference for the Mercury MCP server tools. It guides AI agents on how to interact with a virtual team workspace, enabling structured communication for messaging teammates, managing threads and tasks, scheduling complex automations, and performing administrative graph edits. Use this when your agent needs to execute specific team workflows.

Bilig WorkPaper provides a code-first runtime environment for complex spreadsheet business logic. It allows agents to interact with structured data using formulas and JSON workbooks via deterministic API calls (MCP/TypeScript). This is ideal for replacing unreliable UI automation in use cases like quote calculators, budget modeling, and data validation, ensuring calculation integrity through explicit read-back proof.

A powerful tool for deterministic and reproducible retrieval of evidence from specialized academic and policy corpora. It supports searching arXiv (preprints), PubMed/PMC (biomedical literature), and US policy documents. Users can check corpus freshness, retrieve stable metadata, and fetch full-document Markdown for high-reliability research tasks.

This orchestrator converts complex Markdown content—such as long-form specs, code reviews, or slide decks—into a single-file, lightly-interactive HTML document. It deterministically classifies the input type (Document, Review, or Slides) and routes the content to the appropriate specialized converter sub-skill, ensuring the output retains density and structure far beyond what raw markdown can achieve.

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 utility serves as a stub experiment generator, primarily for demonstration purposes within meta-paper writing workflows. Given a specific topic phrase, it deterministically produces a consistent CSV file containing simulated experimental results. This function allows users to prototype and test complex paper structures and formats without needing access to real scientific data.

This toolkit provides deterministic, programmatic capabilities for working with PDF documents. Users can extract structured data like text and tables, merge multiple PDFs, split documents by page ranges, fill out PDF form fields using JSON data, or generate entirely new PDFs from scratch using libraries like ReportLab. It is designed for explicit, byte-level operations, making it ideal for automation workflows that require precise document manipulation.

An internal tool designed to validate candidate meta-skills (SKILL.md) before registration. It performs comprehensive structural linting (G1 rules) and a scheduler dry-run (G2) to ensure the workflow is deterministic, references are correct, and templates resolve properly. It outputs detailed JSON diagnostics.