Skill UI

This skill converts a single still image (PNG/JPG) into a short, animated MP4 video using a slow Ken-Burns zoom effect and a silent audio track. It is designed specifically as an 'on_failure' fallback mechanism for AI video generation steps that might fail due to content moderation or other upstream issues, ensuring a complete deliverable can still be produced for downstream merging.

Pi Agent is a highly extensible, minimal terminal coding harness designed for building sophisticated AI applications and complex workflows. It enables developers to integrate custom AI providers, local models (via llama.cpp router), skills, and TUI components. Use it for everything from basic command execution and data parsing to advanced orchestration, web search, and structured interaction via SDK, RPC, or JSON event streams.

Provides expert guidance for connecting to Power BI Desktop's local tabular model using the Tabular Object Model (TOM) and ADOMD.NET via PowerShell. This skill covers model enumeration, executing DAX queries, metadata modification (tables, measures, relationships), query tracing, and model refreshing. It is specifically designed for managing the underlying data model structure when external tools like Tabular Editor CLI are unavailable.

This skill provides a comprehensive, step-by-step workflow for building complete Power BI reports from scratch using the pbir CLI. It guides users through model discovery, defining design briefs, visual layout, data validation, and final publishing. Ideal for automating the entire business intelligence (BI) reporting process and ensuring adherence to professional design standards.

This skill guides the design, enforcement, auditing, and validation of Power BI report themes using the specialized pbir CLI. It helps standardize formatting—including colors, fonts, and structural properties—to ensure consistency, improve rebrandability, and maintain theme compliance across complex reports, minimizing reliance on local visual overrides.

Provides comprehensive guidance for the full lifecycle management of semantic models (e.g., Power BI/Analysis Services). Use this skill when designing, building, optimizing, refreshing, or auditing data models. It guides the user through best practices, relationship management, measure creation, and model optimization (e.g., size reduction, Direct Lake setup), ensuring changes are routed through the most appropriate tool cascade (te CLI, TOM, or TMDL authoring).

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.

This skill guides users through the critical steps of experimental design, helping plan studies before data collection. It covers selecting appropriate methodologies—such as Factorial, Blocked, Crossover, and DOE designs—and generating randomized layouts. It ensures that experiments are structured correctly to isolate effects, enabling reliable causal claims and robust data interpretation.

This skill allows users to mine their extensive coding history across various AI agents (Claude, Codex, Gemini, etc.) into a persistent, structured corpus. It surfaces reproducible workflows as evidence and interactively helps the user forge these past practices into reusable, installed skills across their agent ecosystem. It is designed to synthesize judgment from raw transcripts into actionable, portable skills.

This skill provides comprehensive tools for planning studies by calculating the required sample size, minimum detectable effect (MDE), and statistical power. It supports both closed-form statistical tests (t-tests, ANOVA, chi-square) and advanced simulation-based designs (mixed models, logistic/Poisson regression). Use this when planning a study, submitting an IRB protocol, or justifying sample size for a grant.

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 transforms vague or high-level project ideas into eight comprehensive, interconnected planning documents (PRD, TechSpec, Design, Schema, etc.). It establishes a definitive, persistent source of truth for the project's scope, architecture, and design guidelines before a single line of code is written. Ideal for initiating brand-new software projects to prevent scope creep and planning gaps.