Skill UI

PBIP is the developer-mode file format for Power BI, transforming the opaque PBIX binary into a human-readable, folder-based structure. This structure is crucial for enabling robust source control (Git diffing), external editing using specialized tools like VS Code, and seamless multi-author collaboration. It standardizes how reports and semantic models are structured for professional BI development pipelines.

A comprehensive guide for generating dynamic, inline SVG graphics (such as sparklines, gauges, and charts) within Power BI reports using DAX measures. This technique allows developers to embed complex visualizations directly into standard visuals (Table, Card, Matrix) by having the DAX function return an SVG markup string. Best practices emphasize prioritizing existing User Defined Function (UDF) libraries (e.g., IBCS, DaxLib.SVG) over writing custom DAX code.

This skill maps engineering changes (code diffs, architecture designs, IaC) to specific financial compliance controls, such as PCI-DSS v4.0 and MAS TRM. It generates an auditable report detailing compliance gaps, required evidence, and concrete remediation steps, helping teams catch violations before formal audits.

This skill provides a deterministic, git-only method to verify claims made by AI agents (e.g., 'done', 'shipped', 'fixed'). Instead of trusting the agent's self-report, it audits the commit's diff and git history using the DOS kernel (`dos verify`, `dos commit-audit`) to confirm if the claimed change genuinely occurred and is backed by non-forgeable evidence. It acts as a critical quality gate.

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 enables the creation of a robust 'harness' system for coding agents within a repository. It addresses the need to prevent repeated AI-generated coding mistakes by implementing durable instructions, guardrails, regression tests, and failure memory. It treats the target repository as the source of truth, ensuring consistency and maintaining high reliability across all automated contributions.

This tool parses raw, complex error logs, stack traces, and crash reports into a highly structured and actionable diagnosis. It goes beyond simple error reporting to identify the probable root cause, analyze the affected code path, and provide concrete, code-level fix suggestions and ordered next debugging steps. Ideal for developers facing critical production bugs or unexplained application crashes.

This skill performs a comprehensive audit of project dependencies, identifying critical security vulnerabilities (CVEs), analyzing license compliance against established policies, and detecting outdated or risky packages. It produces an actionable report including an overall dependency health score and a prioritized, time-bound remediation plan, ensuring the software supply chain is secure and legally compliant.

Produces a structured, scannable weekly engineering status report. This tool helps teams communicate critical progress, key metrics, decisions, blockers, and future priorities to stakeholders and management. The standardized format ensures information is easily digestible and highly professional, making status updates clear and concise.

This tool conducts structured reviews of various Infrastructure-as-Code (IaC) tools (e.g., Terraform, Pulumi) across multiple cloud providers. It generates an actionable report that categorizes findings by severity (Critical, High, Medium, Low), providing detailed remediation steps and a reusable best-practice checklist for continuous security, compliance, and operational auditing.

This comprehensive guide walks new engineers through setting up a complete local development environment from scratch. It covers all necessary prerequisites, including installing required tools (Git, Docker, Go, etc.), cloning repositories, configuring environment variables, and running initial tests. The goal is to ensure a consistent, working environment and allow new team members to start contributing code quickly and confidently.

This skill generates a comprehensive risk register for projects, programs, or products. It applies standard risk management practices, including likelihood/impact scoring, RAG status, and detailed mitigation/contingency plans. Ideal for preparing reports for project boards, steering committees, and programme management offices.