lorcana-test-generation
Generate focused Lorcana card-behavior tests with the current multiplayer harness, or a minimal engine repro when a card exposes a runtime gap. Use when creating, repairing, or reviewing Lorcana card and engine tests.
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.
source-command-fix-ci
Compatibility router for the migrated fix-ci source command. Use only when an older prompt explicitly invokes source-command-fix-ci.
source-command-fix-typescript
Diagnose and fix TypeScript errors within a specified Lorcana package using that package's current scripts and ownership boundary.
example-data-processor
Process CSV data files by cleaning, transforming, and analyzing them. Use this when users need to work with CSV files, clean data, or perform basic data analysis tasks.
project-scaffolding
Generate production-ready project scaffolds for Grey Haven stack with Cloudflare Workers, React + TypeScript, Python + Pydantic, PlanetScale, proper structure, and configuration. Use when starting new projects, creating microservices, setting up monorepo workspaces, initializing projects, or when user mentions 'new project', 'project scaffold', 'project template', 'project setup', 'bootstrap project', 'project starter', or 'initialize project'.
prompt-engineering
Master 26 documented prompt engineering principles for crafting effective LLM prompts with 400%+ quality improvement. Includes templates, anti-patterns, and quality checklists for technical, learning, creative, and research tasks. Use when writing prompts for LLMs, improving AI response quality, training on prompting, designing agent instructions, or when user mentions 'prompt engineering', 'better prompts', 'LLM quality', 'prompt templates', 'AI prompts', 'prompt principles', or 'prompt optimization'.
skill-creator
Guide for creating effective skills that extend Claude's capabilities. Use when users want to create a new skill, update an existing skill, or need guidance on skill structure and best practices. Triggers: 'create skill', 'new skill', 'skill template', 'build skill', 'skill structure', 'skill design'.
tdd-orchestration
Master TDD orchestration with multi-agent coordination, strict red-green-refactor enforcement, a Layer-0 domain-modeling gate (DDD) that blocks Red until concepts are named in domain vocabulary and primitives promoted to types, and principled DRY enforcement at Refactor (same-concept repetition ≥3 sites only). Automated test generation, coverage tracking, >90% coverage quality gates. Supports Claude Teams for parallel TDD workflows with plan approval gates, or falls back to sequential subagent coordination. Use when implementing features with TDD workflow, coordinating multiple TDD agents, enforcing test-first development, modeling a domain, orchestrating TDD teams, or when user mentions 'TDD workflow', 'test-first', 'TDD orchestration', 'multi-agent TDD', 'domain modeling', 'value object', 'ubiquitous language', 'DRY', 'test coverage', or 'red-green-refactor'.
tdd-python
Python Test-Driven Development expertise with pytest, strict red-green-refactor methodology, domain-first modeling (DDD), principled DRY discipline, FastAPI testing patterns, and Pydantic model testing. Use when implementing Python features with TDD, writing pytest tests, testing FastAPI endpoints, developing with test-first approach, modeling domain concepts, refactoring duplication, or when user mentions 'Python TDD', 'pytest', 'FastAPI testing', 'red-green-refactor', 'Python unit tests', 'test-driven Python', 'domain modeling', 'value object', 'ubiquitous language', 'DRY', or 'Python test coverage'.
tdd-typescript
TypeScript/JavaScript Test-Driven Development with Vitest, strict red-green-refactor methodology, domain-first modeling (DDD) via branded types, principled DRY discipline, React component testing, and comprehensive coverage patterns. Use when implementing TypeScript features with TDD, writing Vitest tests, testing React components, developing with test-first approach, modeling domain concepts, refactoring duplication, or when user mentions 'TypeScript TDD', 'Vitest', 'React testing', 'JavaScript TDD', 'red-green-refactor', 'TypeScript unit tests', 'branded types', 'value object', 'ubiquitous language', 'DRY', or 'test-driven TypeScript'.
tool-design
Design effective MCP tools and Claude Code integrations using the consolidation principle. Fewer, better-designed tools dramatically improve agent success rates. Use when creating MCP servers, designing tool interfaces, optimizing tool sets, or when user mentions 'tool design', 'MCP', 'fewer tools', 'tool consolidation', 'tool architecture', or 'tool optimization'.
creative-writing
Professional writing assistance for blogs, research articles, fiction, essays, and marketing copy. Use when users want to write, edit, or improve any form of written content. Triggers: 'write a blog', 'write an article', 'help me write', 'write a story', 'write a chapter', 'draft an essay', 'creative writing', 'improve my writing', 'edit my writing', 'write copy', 'content writing'.
seo-geo
Use when optimizing web content for search engine visibility, improving AI search engine citations (GEO), auditing website SEO, implementing structured data markup, or researching keyword strategy. Triggers: 'SEO', 'GEO', 'search optimization', 'schema markup', 'meta tags', 'AI search', 'Perplexity', 'search rankings', 'structured data', 'generative engine optimization', 'rich results', 'robots.txt', 'sitemap'.
data-modeling
Design database schemas for Grey Haven multi-tenant SaaS - SQLModel models, Drizzle schema, multi-tenant isolation with tenant_id and RLS, timestamp fields, foreign keys, indexes, migrations, and relationships. Use when creating database tables.
data-validation
Comprehensive data validation using Pydantic v2 with data quality monitoring and schema alignment for PlanetScale PostgreSQL. Use when implementing API validation, database schema alignment, or data quality assurance. Triggers: 'validation', 'Pydantic', 'schema', 'data quality'.
database-conventions
Apply Grey Haven database conventions - snake_case fields, multi-tenant with tenant_id and RLS, proper indexing, migrations for Drizzle (TypeScript) and SQLModel (Python). Use when designing schemas, writing database code, creating migrations, setting up RLS policies, or when user mentions 'database', 'schema', 'Drizzle', 'SQLModel', 'migration', 'RLS', 'tenant_id', 'snake_case', 'indexes', or 'foreign keys'.
api-design-standards
Design RESTful APIs following Grey Haven standards - FastAPI routes, Pydantic schemas, HTTP status codes, pagination, filtering, error responses, OpenAPI docs, and multi-tenant patterns. Use when creating API endpoints, designing REST resources, implementing server functions, configuring FastAPI, writing Pydantic schemas, setting up error handling, implementing pagination, or when user mentions 'API', 'endpoint', 'REST', 'FastAPI', 'Pydantic', 'server function', 'OpenAPI', 'pagination', 'validation', 'error handling', 'rate limiting', 'CORS', or 'authentication'.
code-style
Apply Grey Haven Studio's TypeScript/React and Python/FastAPI coding standards from production templates. Use when writing code, reviewing PRs, fixing linting errors, formatting files, or when the user mentions 'code standards', 'Grey Haven style', 'linting', 'Prettier', 'ESLint', 'Ruff', 'formatting rules', or 'coding conventions'. Includes exact Prettier/ESLint/Ruff configs, naming conventions, project structure, and multi-tenant database patterns.
documentation-architecture
Comprehensive documentation systems design including structure, generation, maintenance, and automation. Use when designing documentation systems, automating documentation generation, or managing large-scale documentation projects.
code-quality-analysis
Multi-mode code quality analysis covering security reviews (OWASP Top 10), clarity refactoring (readability rules), synthesis analysis (cross-file issues), and DDD/DRY lenses (flags mechanical naming, primitive obsession, domain rules leaking into infrastructure, and premature abstractions via the three-occurrences-same-concept rule). Supports team-mode parallel analysis when invoked from quality-pipeline. Use when reviewing code for security vulnerabilities, improving code readability, conducting quality audits, pre-deployment checks, or when user mentions 'code quality', 'code review', 'security review', 'refactoring', 'code smell', 'OWASP', 'code clarity', 'primitive obsession', 'value object', 'ubiquitous language', 'DRY', 'premature abstraction', or 'quality audit'.
documentation-alignment
6-phase verification system ensuring code matches documentation with automated alignment scoring (signature, type, behavior, error, example checks). Reduces onboarding friction 40%. Use when verifying code-docs alignment, onboarding developers, after code changes, pre-release documentation checks, or when user mentions 'docs out of sync', 'documentation verification', 'code-docs alignment', 'docs accuracy', 'documentation drift', or 'verify documentation'.
evaluation
Evaluate LLM outputs with multi-dimensional rubrics, handle non-determinism, and implement LLM-as-judge patterns. Essential for production LLM systems. Use when testing prompts, validating outputs, comparing models, or when user mentions 'evaluation', 'testing LLM', 'rubric', 'LLM-as-judge', 'output quality', 'prompt testing', or 'model comparison'.
llm-project-development
Build LLM-powered applications and pipelines using proven methodology - task-model fit analysis, pipeline architecture, structured outputs, file-based state, and cost estimation. Use when building AI features, data processing pipelines, agents, or any LLM-integrated system. Inspired by Karpathy's methodology and production case studies.
performance-optimization
Comprehensive performance analysis and optimization for algorithms (O(n²)→O(n)), databases (N+1 queries, indexes), React (memoization, virtual lists), bundles (code splitting), API caching, and memory leaks. 85%+ improvement rate. Use when application is slow, response times exceed SLA, high CPU/memory usage, performance budgets needed, or when user mentions 'performance', 'slow', 'optimization', 'bottleneck', 'speed up', 'latency', 'memory leak', or 'performance tuning'.
react-tanstack-testing
Specialized testing for React applications using TanStack ecosystem (Query, Router, Table, Form) with Vite and Vitest. Use when testing React + TanStack apps, mocking server state, testing router, or validating query behavior. Triggers: 'TanStack testing', 'React Query testing', 'test TanStack', 'mock query', 'router test'.
ontological-documentation
Create comprehensive ontological documentation for Grey Haven systems - extract domain concepts from TanStack Start and FastAPI codebases, model semantic relationships, generate visual representations of system architecture, and document business domains. Use when onboarding, documenting architecture, or analyzing legacy systems.
onboarding-coordination
Automate developer onboarding with personalized plans, Linear integration, knowledge base setup, and milestone tracking. Use when onboarding new developers, planning team expansion, or managing role transitions.
plugin-audit
Comprehensive Claude Code plugin auditing skill for validating structure, detecting deprecated patterns, and recommending best practices based on the latest changelog. Use when auditing plugins, checking for deprecations, validating plugin structure, preparing plugins for release, or ensuring compatibility with recent Claude Code versions. Triggers: 'audit plugin', 'check plugin health', 'validate skill', 'plugin deprecation', 'changelog compatibility', 'plugin best practices'.
test-generation
Comprehensive test suite generation with unit tests, integration tests, edge cases, and error handling. Use when generating tests for existing code, improving coverage, or creating systematic test suites. Triggers: 'generate tests', 'add tests', 'test coverage', 'write tests for', 'create test suite'.
testing-strategy
Grey Haven's comprehensive testing strategy - Vitest unit/integration/e2e for TypeScript, pytest markers for Python, >80% coverage requirement, fixture patterns, and Doppler for test environments. Use when writing tests, setting up test infrastructure, running tests, debugging test failures, improving coverage, configuring CI/CD, or when user mentions 'test', 'testing', 'pytest', 'vitest', 'coverage', 'TDD', 'test-driven development', 'unit test', 'integration test', 'e2e', 'end-to-end', 'test fixtures', 'mocking', 'test setup', 'CI testing'.
suite-audit
Meta-level plugin suite auditor that uses subagents to analyze any plugin for usability improvements, missing agents, duplication, and workflow optimizations. Generates comprehensive reports with user-approved todo conversion. Triggers: 'audit suite', 'analyze plugin usability', 'find duplicate agents', 'suggest new agents', 'optimize plugin workflow', 'plugin gap analysis'.
tanstack-patterns
Apply Grey Haven's TanStack ecosystem patterns - Router file-based routing, Query data fetching with staleTime, and Start server functions. Use when building React applications with TanStack Start. Triggers: 'TanStack', 'TanStack Start', 'TanStack Query', 'TanStack Router', 'React Query', 'file-based routing', 'server functions'.
incident-response
Handle production incidents with SRE best practices including detection, investigation, mitigation, recovery, and postmortems. Use when dealing with production outages, SEV1/SEV2 incidents, creating postmortems, or updating runbooks.
project-structure
Organize Grey Haven projects following standard structures for TanStack Start (frontend) and FastAPI (backend). Use when creating new projects, organizing files, or refactoring project layout.
pr-template
Generate pull request descriptions following Grey Haven Studio standards with clear summary, motivation, implementation details, testing strategy, and comprehensive checklist. Use when creating or reviewing pull requests.
smart-debugging
AI-powered intelligent debugging with stack trace analysis, error pattern recognition, and automated fix suggestions. Use when debugging complex errors, analyzing stack traces, or performing root cause analysis. Triggers: 'debug', 'error analysis', 'stack trace', 'root cause', 'troubleshooting'.
jean-claude
This skill should be used when the user asks to search/send/draft email, check calendar, create events, schedule meetings, find/upload/share Drive files, read/edit Google Docs, read spreadsheet data, send texts/iMessages, send WhatsApp messages, send Signal messages, check messages, or create reminders. Manages Gmail, Google Calendar, Google Drive, Google Docs, Google Sheets, iMessage, WhatsApp, Signal, and Apple Reminders.
check-emails
Check the whole inbox and present it as a fresh grouped list, surfacing mail that has gone stale as its own group. Use when the user says /check-emails or asks to check their email starting from a clean list.
diagram
Generates architecture diagrams from code, infrastructure, or descriptions. Use when user asks to visualize, diagram, or document system architecture.
terraform-diagrams
Generates architecture diagrams from Terraform code. Use when user has .tf files or asks to visualize Terraform infrastructure.
eraser-diagrams
Generates architecture diagrams from code, infrastructure, or descriptions. Use when user asks to visualize, diagram, or document system architecture.
bicep-diagrams
Generates architecture diagrams from Azure Bicep files. Use when user has .bicep files or asks to visualize Bicep infrastructure.
azure-diagrams
Visualizes Azure infrastructure from ARM templates, Azure CLI, or descriptions. Use when user has Azure resources to diagram.
aws-diagrams
Visualizes AWS infrastructure from CLI output, CloudFormation, or descriptions. Use when user has AWS resources to diagram.
packaging-tauri-for-linux
Guides users through packaging Tauri v2 applications for Linux distributions including AppImage, Debian (.deb), RPM, Flatpak, Snap, and AUR submission.
distributing-tauri-for-macos
Guides users through distributing Tauri applications on macOS, including creating DMG installers, configuring app bundles, setting up entitlements, and customizing Info.plist files for proper macOS distribution.
managing-tauri-plugin-permissions
Guides users through configuring Tauri plugin permissions, capabilities, and security. Covers platform-specific capabilities, window-targeted permissions, using official and community plugin permissions, and writing custom plugin permissions with scopes.
developing-tauri-plugins
Guides the user through Tauri plugin development, including creating plugin extensions, configuring permissions, and building mobile plugins for iOS and Android platforms.
migrating-tauri-apps
Assists users with migrating Tauri applications from v1 to v2 stable, and from v2 beta to v2 stable, covering breaking changes, configuration updates, API migrations, and plugin system changes.
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