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Found 70 Skills
Writing and authoring Quarto documents (.qmd), including code cell options, figure and table captions, cross-references, callout blocks (notes, warnings, tips), citations and bibliography, page layout and columns, Mermaid diagrams, YAML metadata configuration, and Quarto extensions. Also covers converting and migrating R Markdown (.Rmd), bookdown, blogdown, xaringan, and distill projects to Quarto, and creating Quarto websites, books, presentations, and reports.
Use when bootstrapping skill-loop in a repository, creating a GitHub issue loop starter, or writing and updating skill-loop.yml and starter skills.
Generates YAML signal configs for agent simulation experiments. Use when the user wants to define what signals to track, how to extract them from run artifacts, and how to aggregate them into experiment-level metrics. Trigger when users say: "generate a signal config", "create signals for my experiment", "I want to track [metric]", "write a signal YAML", "set up extraction for [thing]", "how do I measure [behavior] across runs", "configure signals for [experiment]", "create a signal config", "create signal config file", or "build a signal config".
Generates detailed implementation plans with milestones and tasks from business and technical requirements. Embeds best practices including task sizing (30m-2.5h), style anchors, TDD requirements, and quality constraints. Outputs milestones.yaml and milestone-m*.tasks.yaml files ready for development.
Use this skill whenever creating, updating, or reviewing a skill file. Do not wait for an explicit request — if a skill is being created or edited, this skill applies.
This skill helps the agent generate or update orchestration pipeline definitions for Google Cloud Composer to initialize orchestration pipeline or update the orchestration definition for orchestration of various data pipelines, like dbt pipelines, notebooks, Spark jobs, Dataform, Python scripts or inline BigQuery SQL queries. This skill also helps deploy and trigger orchestration pipelines.
Conduct preliminary research on a topic and generate research outline. For academic research, benchmark research, technology selection, etc.
Set up, configure, and troubleshoot Salesforce Code Analyzer for any project. Handles installation, prerequisite checks, diagnosing broken setups, creating and editing code-analyzer.yml overrides, engine-specific settings, ignore patterns, severity overrides, and CI/CD pipeline setup. TRIGGER when: user says 'set up code analyzer', 'configure code analyzer', 'install code analyzer', 'code analyzer not working', 'fix my setup', 'scan is failing', 'check my setup', 'is code analyzer installed', 'enable/disable engine', 'exclude files', 'change severity', 'set up GitHub Actions', 'set up CI/CD', 'add code analyzer to pipeline', 'make pipeline fail', 'update my workflow', 'quality gate', 'fail on violations', 'scan changed files only', 'add SARIF', 'code-analyzer.yml', 'ESLint config', 'increase SFGE memory', or reports errors running Code Analyzer. DO NOT TRIGGER when: user wants to run a scan (use dx-code-analyzer-run), fix violations, explain rules, create custom rules, or suppress violations.
Create and use brand.yml files for consistent branding across Shiny apps and Quarto documents. Use when working with brand styling, colors, fonts, logos, or corporate identity in Shiny or Quarto projects. Covers: (1) Creating new _brand.yml files from brand guidelines, (2) Applying brand.yml to Shiny for R apps with bslib, (3) Applying brand.yml to Shiny for Python apps with ui.Theme, (4) Using brand.yml in Quarto documents, presentations, dashboards, and PDFs, (5) Modifying existing brand.yml files, (6) Troubleshooting brand integration issues. Includes complete specifications and framework-specific integration guides.
PowerPoint slide deck generation and management using python-pptx with YAML-driven content and styling - Brought to you by microsoft/hve-core
Create or update a Coral source spec YAML for a custom HTTP API or local dataset. Use when authoring a standalone source for `coral source add --file`, or when adapting that spec into a bundled source in the Coral repo.
Create and manage Infrahub object data files. Use when populating infrastructure data, creating device instances, locations, organizations, module installations, or any other data objects for an Infrahub repository.