stripe
>-
shadcn
This skill should be used when the user asks to "add a component", "use shadcn", "install Button", "create Dialog", "add Form", "use DataTable", "implement dark mode toggle", "use cn utility", or discusses UI components, component libraries, or accessible components. Always use the latest shadcn/ui version and modern patterns.
nextjs
This skill should be used when the user asks to "create a Next.js app", "build a page", "add routing", "implement server components", "add caching", "create API routes", "use server actions", "add metadata", "set up layouts", or discusses Next.js architecture, App Router, data fetching, or rendering strategies. Always use the latest Next.js version and modern patterns.
react
This skill should be used when the user asks to "create a React component", "use React hooks", "handle state", "implement forms", "use useOptimistic", "use useActionState", "create Server Components", "add interactivity", or discusses React patterns, component architecture, or state management. Always use the latest React version and modern patterns.
postgres-nanoid
This skill should be used when the user asks to "generate IDs", "create identifiers", "use nanoid", "add public_id", "prefixed identifiers", "short IDs", or discusses ID generation strategies, public vs internal IDs, or URL-friendly identifiers. Use nanoid for public identifiers and UUID for auth.users references.
supabase-expert
>-
tailwindcss
This skill should be used when the user asks to "style with Tailwind", "add CSS", "configure theme", "use @theme", "add custom colors", "implement dark mode", "use container queries", "add responsive design", "use OKLCH colors", or discusses styling, theming, or visual design. Always use the latest Tailwind CSS version and modern patterns.
artifact-guidelines
Style and format conventions for subagent artifacts — reports, logs, figures.
visual-predictive-checks
Guidelines for visual predictive checks following Säilynoja et al. recommendations using ArviZ
python-environment
Reference for the Bayesian workflow Python environment — `shared_utils` API and script structure conventions. Assumes the environment has been bootstrapped via `/bayesian-workflow:setup`.
report-writing
The writing quality bar for the final report — skim test, narrative arc, number density, figure discipline, detail tiers, and mechanical hygiene. Loaded by the report-writer agent; audit your draft against these rules before delivering.
stan
Best practices for writing efficient, clean Stan programs. Covers structure, parameterization, prior/posterior predictive blocks, and pitfalls. Sub-references handle specialized cases.
validation-protocol
Standard entry/exit protocol for pipeline subagents — input validation (arguments, filesystem, strict single-line [EXCEPTION] output on failure), the completed-work short-circuit, and the status.json completion record.
analysis-design
Methodology for setting up a Bayesian analysis — analysis purpose, validation strategy, domain context, structural questions. Read before specifying any models.
bayesian-model-diagnostics
Interpreting LOO diagnostics, PIT calibration, and Pareto k for single-model evaluation
bayesian-model-selection
Comparing model populations via ELPD, decision rules for selection vs stacking, and metric validity
convergence-diagnostics
MCMC convergence diagnostics — thresholds, visual checks, and interpretation of HMC pathologies.
eda
Exploratory data analysis reference for Bayesian modeling — operational EDA procedures (data semantics audit, quality checks, timestamp handling, visualization, modeling handoff) plus a diagnostic test library indexed by data shape.
fake-data-simulation
Methodology for fake-data simulation — drawing or fixing true parameter values, simulating data from the model, refitting, and checking that inference recovers the parameters. Covers single-draw checks (cheap) and Simulation-Based Calibration (rigorous).
generative-model-design
Required decisions for complete generative model specifications, the experiment-design discipline behind a resolution sequence, and the cross-cutting modeling principles that apply to every spec.
inferencedata-handling
ArviZ InferenceData creation from CmdStanPy — variable naming conventions, conversion arguments, common failures.
model-critique
Three-part critique methodology for a single fitted Bayesian model — statistical, domain, and framework assessment plus the verdict structure and refinement-suggestion conventions.
orchestration
End-to-end Bayesian modeling workflow orchestration — phases (EDA → design → development → reporting), task-pool semantics for the validation pipeline, canonical file structure, and dispatch protocol for the eleven subagents. Loaded by the `/bayesian-workflow:run` command.
gemini-imagegen
This skill should be used when generating and editing images using the Gemini API (Nano Banana Pro). It applies when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.
workflows-work
This skill should be used when executing work plans, specifications, or todo files systematically while maintaining quality and shipping complete features.
frontend-design
This skill should be used when creating distinctive, production-grade frontend interfaces with high design quality. It applies when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
git-worktree
This skill manages Git worktrees for isolated parallel development. It handles creating, listing, switching, and cleaning up worktrees with a simple interactive interface, following KISS principles.
dhh-ruby-style
This skill should be used when writing Ruby and Rails code in DHH's distinctive 37signals style. It applies when writing Ruby code, Rails applications, creating models, controllers, or any Ruby file. Triggers on Ruby/Rails code generation, refactoring requests, code review, or when the user mentions DHH, 37signals, Basecamp, HEY, or Campfire style. Embodies REST purity, fat models, thin controllers, Current attributes, Hotwire patterns, and the "clarity over cleverness" philosophy.
dspy-ruby
This skill should be used when working with DSPy.rb, a Ruby framework for building type-safe, composable LLM applications. Use this when implementing predictable AI features, creating LLM signatures and modules, configuring language model providers (OpenAI, Anthropic, Gemini, Ollama), building agent systems with tools, optimizing prompts, or testing LLM-powered functionality in Ruby applications.
workflows-plan
This skill should be used when transforming feature descriptions, bug reports, or improvement ideas into well-structured project plans following project conventions and best practices.
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
file-todos
This skill should be used when managing the file-based todo tracking system in the todos/ directory. It provides workflows for creating todos, managing status and dependencies, conducting triage, and integrating with slash commands and code review processes.
workflows-review
This skill should be used when performing exhaustive code reviews using multi-agent analysis, ultra-thinking, and Git worktrees for deep local inspection. It applies to PR reviews, branch comparisons, and comprehensive code quality assessments.
every-style-editor
This skill should be used when reviewing or editing copy to ensure adherence to Every's style guide. It provides a systematic line-by-line review process for grammar, punctuation, mechanics, and style guide compliance.
agent-native-architecture
This skill should be used when building AI agents using prompt-native architecture where features are defined in prompts, not code. Use it when creating autonomous agents, designing MCP servers, implementing self-modifying systems, or adopting the "trust the agent's intelligence" philosophy.
compound-docs
Capture solved problems as categorized documentation with YAML frontmatter for fast lookup
dhh-rails-style
This skill should be used when writing Ruby and Rails code in DHH's distinctive 37signals style. It applies when writing Ruby code, Rails applications, creating models, controllers, or any Ruby file. Triggers on Ruby/Rails code generation, refactoring requests, code review, or when the user mentions DHH, 37signals, Basecamp, HEY, or Campfire style. Embodies REST purity, fat models, thin controllers, Current attributes, Hotwire patterns, and the "clarity over cleverness" philosophy.
andrew-kane-gem-writer
This skill should be used when writing Ruby gems following Andrew Kane's proven patterns and philosophy. It applies when creating new Ruby gems, refactoring existing gems, designing gem APIs, or when clean, minimal, production-ready Ruby library code is needed. Triggers on requests like "create a gem", "write a Ruby library", "design a gem API", or mentions of Andrew Kane's style.
create-agent-skills
This skill provides expert guidance for creating, writing, building, and refining Claude Code Skills. It should be used when working with SKILL.md files, authoring new skills, improving existing skills, or understanding skill structure and best practices.
stash-artifact
Save ad hoc scripts, notes, or other artifacts to the project's context directory (outside the code repo). Invoke when user says "stash this", "save this script", "keep this outside the repo", "save to context", "stash artifact", or when user has a script or note they want preserved but not committed.
setup-work
Setup development environment from GitHub issue. Invoke when user says "init work on issue #X", "initialize issue #X", "setup issue #X", "prepare issue #X", "start fresh on issue #X", "start new work on issue #X", or provides a GitHub issue URL.
prime-session
Orient to current project by reading CLAUDE.md and architecture docs. Auto-invokes when Claude detects a new or unfamiliar repository. Can also be triggered by "orient me", "what is this project", or "prime session".
review-pr
Conduct comprehensive PR reviews with sprint/roadmap context awareness. Invoke when user says "review PR", "check this PR", "review pull request #X", or when asked to provide feedback on a PR.
do-work
Execute development work from a scratchpad, tracking progress with TodoWrite and making atomic commits. This skill MUST be invoked as the first action when user says "start work on issue #X", "do work on issue #X", "work on issue #X", "continue work", "resume work", or "keep working". Do not fetch issue details or plan manually.
create-pr
Create context-aware pull requests with issue integration. Invoke when user says "create a PR", "open pull request", "make a PR", "submit for review", or after completing work on a feature branch.
archive-work
Archive completed scratchpads and session logs to project history. Invoke when user says "archive this work", "clean up scratchpad", "archive scratchpad", or after PR is merged.
commit-changes
Create thoughtful git commits with conventional commits format. Invoke when user says "commit", "commit these changes", "create a commit", "save my changes", or after completing a task.
create-issue
Create GitHub issues from natural language, designed for ad hoc idea capture mid-flow. Invoke when user says "create an issue", "file a bug", "open an issue to track", "add a feature request", or "create a ticket".
interview-mode
Ensures proper requirements clarification before implementing features. Activates when asked to implement, build, create, or add features during what appears to be an interview or timed coding exercise.
android-architecture
Guides Android development with MVI state management, repository pattern, and clean architecture. Activates when implementing Android features, ViewModels, repositories, or data layers.
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