Skill UI

A comprehensive guide covering the canonical rules for Power BI report design. It enforces consistency across design identity, visual hierarchy, color discipline, chart selection, and accessibility. Focuses on structuring reports to answer specific questions and minimizing cognitive load, ensuring data effectiveness over mere aesthetics.

This skill provides comprehensive knowledge of the Power BI Enhanced Report (PBIR) JSON schema. It details the structured metadata for report components, including visuals, pages, themes, bookmarks, and complex formatting rules. Users learn how to read and manipulate the underlying PBIR JSON to understand how Power BI reports are built and customized, adhering to strict technical guidelines and operational best practices.

Provides expert guidance for authoring and editing Tabular Model Definition Language (TMDL) files directly within PBIP projects. This skill is designed for advanced users needing to perform quick, text-level modifications—such as updating descriptions, fixing format strings, or defining measures—when full, dedicated tools (like Tabular Editor CLI) are unavailable. It details critical syntax rules, object nesting, and file structures for managing complex semantic models.

Atlas Ledger is a critical companion designed to provide lasting 'memory' to project contracts. It automatically processes detected deviations or 'drift' (e.g., from audits or reviews) and distills these instances into formal, actionable contract clauses (WHEN/DON'T/INSTEAD). These clauses are written to a persistent project memory file, Atlas.md. This mechanism ensures that lessons learned from failure are systematically captured, allowing future contract cycles to incorporate these rules, thereby strengthening overall project governance and reliability.

Literature-backed English technical-prose writing rules for AI agents. Use when drafting or editing Markdown, LaTeX, reStructuredText, or plain-text research papers, proposals, documentation, and release notes.

This skill designs and audits the core engineering harness required for reliable AI agent collaboration within a codebase. It establishes critical infrastructure elements such as change tracking, linting rules, CI/CD gates, and standardized documentation, ensuring the repository remains the single source of truth for all intelligent agents. Ideal for setting up complex development workflows.

This skill provides a post-hoc review mechanism for prose generated by AI agents. It audits Markdown content against a comprehensive set of style rules, generating a detailed scorecard of violations. Users can optionally receive a polished, revised draft that adheres strictly to the original meaning and structure, ensuring high-quality, canonical output.

This skill applies a rigorous, evidence-first discipline to coding tasks, inspired by Fable-like best practices. It guides agents through a structured workflow: inspecting the workspace, tracking goals and findings, grounding all conclusions in verifiable evidence, and executing thorough verification gates before declaring completion. Ideal for complex development, debugging, or adapting cross-model prompt guidance into robust, verifiable project rules.

This comprehensive guide details idiomatic best practices for writing high-performance, safe code in Rust. It covers advanced topics such as understanding Ownership and Borrowing rules, robust error handling using the '?' operator, optimizing functional programming with Iterators, implementing structured concurrency, and defining robust data models with Structs and Enums.

A comprehensive guide to creating a robust API versioning strategy document. It helps service teams define consistent rules for evolving their APIs over time, covering versioning schemes (URL path, headers), lifecycle policies (Stable, Deprecated, Sunset), and classifying breaking changes. Essential for maintaining backward compatibility and managing API deprecation.

This skill generates a complete and detailed specification for an ETL/ELT data pipeline. It covers everything from source systems, transformation logic, and data quality rules to destination data warehousing and required SLAs. Use this when planning data ingestion, designing complex data flows, or needing comprehensive architecture documentation for engineering handoff.

This skill generates a comprehensive spacing and layout token system for Figma. It establishes foundational design rules, including a scalable spacing scale (e.g., 4px/8px base), responsive grid definitions for various breakpoints, and component-specific spacing conventions. It ensures design consistency and provides clear guidelines for developer handoff.