Skill UI

This is an advanced, structured workflow designed to conduct deep, multi-source investigations. It synthesizes current public evidence with user-provided context to generate highly structured reports. The workflow explicitly differentiates between verifiable facts, user-supplied evidence, logical inferences, and actionable recommendations, making it ideal for complex comparative analysis or continuous monitoring tasks.

This skill guides users through evidence-based terminal operations. It is designed for scenarios requiring direct command execution, Git status checks, debugging CI/build failures, and pushing narrow, verified fixes. It emphasizes following a structured, minimal-scope workflow and accurately reporting the repository's current state (e.g., local changes vs. pushed code).

Generates complete, runnable Python scripts utilizing the python-pptx library to automatically build polished PowerPoint presentations. This skill transforms a topic brief into a structured slide deck script, ensuring real content, logical flow, and a working save function, perfect for demos, reports, or educational materials.

This skill provides a robust system for tracking all code modifications using structured JSON records and enforcing a defined state machine (e.g., planned -> deployed). It is critical for AI coding workflows, ensuring that if a session expires or is abandoned, the next session receives the full context, progress summary, and blockers to resume seamlessly. Ideal for complex, multi-stage development projects and onboarding new codebases.

Generates structured peer-review quality critiques of academic papers, covering summaries, methodology scrutiny, contribution evaluation, literature positioning, and recommendations across domains whenever a user requests reviews, analyses, or summaries of research publications.

This skill provides a comprehensive workflow to transform raw data into professional visual charts. It intelligently analyzes data features (e.g., trends, comparisons, flows) to select the optimal chart type (line, bar, pie, etc.). Users provide data and specifications, and the skill generates a high-quality, detailed chart image using a structured JavaScript process.

Guides structured reviews for Flutter/Dart pull or merge requests, checking correctness, security, style, tests, and documentation while verifying branch scope and CI health.

Guides AI agents through analyzing working code, spotting overly complex structures, then refactoring for clarity while preserving exact behavior and project conventions, especially after reviews or high-pressure edits.

This expert guide provides comprehensive strategies for community-led growth. It helps users design, launch, and scale online communities on platforms like Discord, Slack, or forums. Use this resource when aiming to build deep brand loyalty, transform customers into brand advocates, structure a cohesive community strategy, or significantly boost user engagement and retention post-signup. It covers everything from defining community identity to implementing ambassador programs.

Analyzes Excel and CSV uploads with DuckDB, inspecting schemas, running SQL, summarizing statistics, and exporting results so users can explore structured data efficiently.

This guide provides a systematic, structured approach for debugging complex technical issues, such as failing tests, broken builds, or unexpected runtime errors. It teaches the 'Stop-the-Line' rule and utilizes a comprehensive triage checklist (Reproduce, Localize, Reduce, Fix, Guard, Verify) to ensure root causes are found and prevented from recurring.

This comprehensive guide outlines idiomatic and high-quality coding standards for Dart and Flutter. It covers best practices for naming conventions, type annotations, class structure, file organization, and documentation, ensuring developers write clean, readable, and maintainable Dart codebases.