Skill UI

Nextflow is a powerful workflow language and runtime for building reproducible, portable, and scalable data pipelines, especially dominant in bioinformatics. This skill covers the entire workflow lifecycle: from authoring complex pipelines using the modern DSL2 syntax, to configuring containerized execution (Docker, Singularity), scaling to High-Performance Computing (HPC) or cloud environments, and running/debugging existing nf-core workflows.

A powerful CLI tool designed for deep web interaction and data scraping. bb-browser simulates genuine user behavior within a real browser environment, allowing access to both public and private enterprise systems, even requiring active user login. Key features include a Site System to turn complex websites into simple command-line APIs, advanced network request handling (with session state), form automation, and element interaction, making it ideal for enterprise data gathering and workflow automation.

This skill automates the complex compilation process required for LaTeX documents, specifically implementing the sequence: xelatex -> bibtex -> xelatex -> xelatex. It takes pre-assembled content (such as abstracts and body text) and compiles them into a cohesive, structured academic paper. Ideal for the final steps of scientific and technical writing.

This meta-skill automates the complex process of modernizing legacy PDF documents (e.g., historical contracts, scanned manuals, legal documents). It follows a structured four-step pipeline: structural extraction, natural-language rewriting of problem pages, generating an audit summary, and finally re-merging the content into a single, refined PDF. This ensures content is modernized while maintaining fidelity to the original meaning, providing a human review summary before finalization.

Use PaperJSX to automate the creation of professional documents, including PPTX presentations, DOCX reports, XLSX spreadsheets, and PDF files. By providing a structured JSON specification, this tool generates ready-to-use files, eliminating manual formatting and ensuring consistency across large-scale reporting and content generation pipelines.

An internal, non-user-invocable agent used by the meta-skill creator process. It executes positive (G3) and negative (G4) smoke tests against a candidate meta-skill definition (SKILL.md). It simulates meta-resolution using LLM-generated fixtures and reports the results in a structured JSON format.

This tool parses a structured, multi-shot video script (following the ai-video-script format) and automatically generates a time-coded SRT subtitle file. It calculates cumulative timestamps based on the duration of each shot, ensuring accurate subtitle cues that sync with the voiceover content across the entire sequence. Ideal for the post-production stage of short-form video creation.

This skill automates the migration of existing frontend code (such as those built with React, Vite, or other frameworks) into the proprietary Stitch Design format. It performs a multi-step workflow: first, extracting a self-contained static HTML file; second, analyzing source components and stylesheets to generate a comprehensive design system documentation (DESIGN.md); and finally, uploading both artifacts to the specified Stitch project for continuous iteration and improvement.

This skill reads the contents of a UTF-8 text file and outputs the raw bytes verbatim to stdout. It is designed for meta-skills that require round-tripping an artifact through disk for user inspection or manual editing between steps. Unlike standard file readers that prepend line numbers, this tool preserves the original structure, making it ideal for structured data formats like YAML, scripts, or SRT files that need to be accurately parsed downstream.

This automated workflow performs a comprehensive review against the AWS Well-Architected Framework (WAF). It scans IaC definitions (Terraform, CloudFormation, CDK) and deployed resources to identify compliance gaps, security risks, and optimization opportunities across six core pillars. Findings are structured and automatically generated as actionable GitHub issues with remediation code examples.

This skill provides a comprehensive, step-by-step workflow for generating complete Power BI reports from scratch using the pbir CLI. It covers everything from initial model discovery and defining design briefs to visual placement, formatting, filtering, validation, and final publishing in Fabric or Power BI Desktop. It ensures best practices are followed to create robust, professional, and interactive dashboards.

This skill provides tools to audit, enforce, and standardize Power BI report themes. It addresses 'formatting debt' by centralizing bespoke visual overrides into the theme JSON, ensuring global consistency. Use it when reports suffer from formatting inconsistency, or when manual visual formatting has cluttered the visual JSON, allowing developers to maintain a clean, scalable report structure.