Skill UI

Designed for commercial leaders (Head of Commercial, RevOps, VP Sales) conducting quarterly channel reviews. This skill calculates the fully-loaded cost-to-serve per channel, determines the ROI using Cash, LTV, and Marginal lenses, and optimizes the channel mix subject to strategic constraints. It provides actionable verdicts (DOUBLE-DOWN / MAINTAIN / DEFUND / EXIT) and identifies the diminishing-returns inflection point, helping validate true channel profitability beyond surface metrics.

This skill provides comprehensive deal-desk support by performing quantitative scoring and risk assessment for commercial deals. It scores deals across margin, risk, and strategic value, routes discount requests to the correct human approver chain (e.g., Director, CFO, Legal), and flags contract landmines (e.g., uncapped indemnity, MFN) in redlined MSAs. It never auto-approves; every output is a score and a recommendation for a named human sign-off.

This tool generates an extensive, long-form cheat sheet for specialized Machine Learning or Large Language Model (LLM) topics. It provides comprehensive technical deep dives, including theoretical formulas with derivations, from-scratch PyTorch code implementations, detailed comparison tables, and 25 high-frequency interview questions spanning L1 (Must-Know) to L3 (Expert Lab) difficulty.

This skill enables internal operations leaders to document complex end-to-end business processes using BPMN-style notation. It moves beyond simple visualization by applying deterministic Lean/Six Sigma principles to quantify efficiency. Key outputs include cycle-time analysis (P50, P90), value-add ratio calculation, and a ranked list of critical bottlenecks, providing actionable insights for optimizing core business workflows.

A powerful utility that transforms structured Markdown and JSON artifacts (like research reports, review summaries, or project plans) into polished, single-file HTML views. It ensures artifacts are highly readable for human consumption, maintaining the source Markdown as the canonical truth while adding necessary presentation layers like dashboards or academic layouts.

This skill is designed for Business Operations (BizOps) and Vendor Management Offices (VMO) to conduct ongoing, deterministic reviews of third-party SaaS and operational vendors. It moves beyond simple contract negotiation by scoring vendors across reliability, security, and support (0-100), tracking SLA compliance to identify credit claims, and classifying overall third-party risk (Critical/High/Medium/Low). Ideal for quarterly portfolio audits and strategic renewal decisions.

This skill provides an end-to-end solution to transform existing REST APIs, defined by OpenAPI or Swagger specifications, into functional MCP servers. It maps every API operation to a dedicated, callable LLM tool, automatically generating robust parameter schemas (Zod) and handling authentication wiring. Use this to expose internal or third-party APIs to LLMs, providing a complete workflow from spec ingestion to local testing and cloud deployment.

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.

This skill generates comprehensive Entity Relationship Diagrams (ERDs) and database schemas as D2 source code from an existing Entity Framework Core codebase. It analyzes DbContexts, DbSet declarations, Fluent API mappings, and migrations to accurately visualize tables, columns, primary/foreign keys, relationships (including many-to-many joins), owned types, and constraints. The output is a structured .d2 file, suitable for rendering into SVG or PNG, helping developers document the persistence model.

This skill provides a comprehensive framework for auditing and improving the efficiency of GitHub Codespaces environments. It helps users identify waste sources like oversized devcontainers, inefficient machine types, and poorly scoped prebuilds. By following a structured workflow, users can reduce monthly cloud spending, drastically cut startup times, and maintain optimal development throughput.

A powerful Python skill for adding professional callouts, arrows, and labels to various images, including screenshots, diagrams, and architecture documents. It allows users to visually highlight specific areas or changes. The advanced `annotate.py` module provides algorithmic label placement, optimizing for readability and preventing overlaps. Ideal for creating clear PR descriptions, documenting changes, or building annotated demo assets.

This powerful router analyzes complex document types (scanned, medical, table-heavy, etc.) and determines the optimal conversion pipeline (tools, flags, cleanup) to extract data into various formats like Markdown, JSON, or DOCX. It goes beyond simple text extraction by prioritizing the preservation of document structure, relational data, and high fidelity, ensuring the generated output is accurate for downstream machine processing.