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Type checking and type generation
python-pro
by Jeffallan
Use when building Python 3.11+ applications requiring type safety, async programming, or robust error handling. Generates type-annotated Python code, configures mypy in strict mode, writes pytest test suites with fixtures and mocking, and validates code with black and ruff. Invoke for type hints, async/await patterns, dataclasses, dependency injection, logging configuration, and structured error handling.
mcp-developer
by Jeffallan
Use when building, debugging, or extending MCP servers or clients that connect AI systems with external tools and data sources. Invoke to implement tool handlers, configure resource providers, set up stdio/HTTP/SSE transport layers, validate schemas with Zod or Pydantic, debug protocol compliance issues, or scaffold complete MCP server/client projects using TypeScript or Python SDKs.
vue-options-api-best-practices
by vuejs-ai
"Vue 3 Options API style (data(), methods, this context). Each reference shows Options API solution only."
flow
by facebook
Use when you need to run Flow type checking, or when seeing Flow type errors in React code.
syncable-entity-cache-and-transform
by twentyhq
Create cache services and transformation utilities for syncable entities in Twenty. Use when implementing entity-to-flat conversions, input DTO transpilation to universal flat entities, or cache recomputation for syncable entities.
syncable-entity-integration
by twentyhq
Wire syncable entity services into NestJS modules, create service layer and resolvers for Twenty entities. Use when registering builders, validators, and action handlers in modules, creating business services, or exposing entities via GraphQL API with proper exception handling.
syncable-entity-builder-and-validation
by twentyhq
Create validation logic and migration action builders for syncable entities in Twenty. Use when implementing business rule validation, uniqueness checks, foreign key validation, or building workspace migration actions for syncable entities. Validators never throw and never mutate.
syncable-entity-types-and-constants
by twentyhq
Define types, entities, and central constant registrations for syncable entities in Twenty's workspace migration system. Use when creating new syncable entities, defining TypeORM entities, flat entity types, or registering in central constants (ALL_ENTITY_PROPERTIES_CONFIGURATION_BY_METADATA_NAME, ALL_ONE_TO_MANY_METADATA_RELATIONS, ALL_MANY_TO_ONE_METADATA_FOREIGN_KEY, ALL_MANY_TO_ONE_METADATA_RELATIONS).
syncable-entity-testing
by twentyhq
Create comprehensive integration tests for syncable entities in Twenty. Use when writing integration tests for metadata entities, covering validator exceptions, input transpilation errors, and CRUD operations. Tests are MANDATORY for all syncable entities.
check-compiler-errors
by cursor
Run compile and type-check commands and report failures
compound-docs
by EveryInc
Capture solved problems as categorized documentation with YAML frontmatter for fast lookup
setup
by EveryInc
Configure which review agents run for your project. Auto-detects stack and writes compound-engineering.local.md.
cc-cursor-cc
by Chachamaru127
"Cursor PMでアイデアを検証し、Plans.mdを更新してバトンタッチ。2-Agentワークフロー対応。"
cc-cursor-cc
by Chachamaru127
"Cursor PMでアイデアを検証し、Plans.mdを更新してバトンタッチ。2-Agentワークフロー対応。"
crud
by Chachamaru127
"CRUDをサクッと自動生成。ボイラープレートはAIにお任せ。Use when user mentions CRUD, entity generation, or wants to create API endpoints. Do NOT load for: UI component creation, form design, database schema discussions."
tooluniverse-gwas-drug-discovery
by mims-harvard
Transform GWAS signals into actionable drug targets and repurposing opportunities. Performs locus-to-gene mapping, target druggability assessment, existing drug identification, safety profile evaluation, and clinical trial matching. Use when discovering drug targets from GWAS data, finding drug repurposing opportunities from genetic associations, or translating GWAS findings into therapeutic leads.
guardrails-ai-setup
by a5c-ai
Guardrails AI validation framework setup for LLM applications. Implement input/output validation, safety checks, and structured output enforcement.
tooluniverse-polygenic-risk-score
by mims-harvard
Build and interpret polygenic risk scores (PRS) for complex diseases using GWAS summary statistics. Calculates genetic risk profiles, interprets PRS percentiles, and assesses disease predisposition across conditions including type 2 diabetes, coronary artery disease, and Alzheimer's disease. Use when asked to calculate polygenic risk scores, interpret genetic risk for complex diseases, build custom PRS from GWAS data, or answer questions like "What is my genetic predisposition to breast cancer?"
devtu-create-tool
by mims-harvard
Create new scientific tools for ToolUniverse framework with proper structure, validation, and testing. Use when users need to add tools to ToolUniverse, implement new API integrations, create tool wrappers for scientific databases/services, expand ToolUniverse capabilities, or follow ToolUniverse contribution guidelines. Supports creating tool classes, JSON configurations, validation, error handling, and test examples.
devtu-fix-tool
by mims-harvard
Fix failing ToolUniverse tools by diagnosing test failures, identifying root causes, implementing fixes, and validating solutions. Use when ToolUniverse tools fail tests, return errors, have schema validation issues, or when asked to debug or fix tools in the ToolUniverse framework.
tooluniverse-gene-enrichment
by mims-harvard
Perform comprehensive gene enrichment and pathway analysis using gseapy (ORA and GSEA), PANTHER, STRING, Reactome, and 40+ ToolUniverse tools. Supports GO enrichment (BP, MF, CC), KEGG, Reactome, WikiPathways, MSigDB Hallmark, and 220+ Enrichr libraries. Handles multiple ID types (gene symbols, Ensembl, Entrez, UniProt), multiple organisms (human, mouse, rat, fly, worm, yeast), customizable backgrounds, and multiple testing correction (BH, Bonferroni). Use when users ask about gene enrichment, pathway analysis, GO term enrichment, KEGG pathway analysis, GSEA, over-representation analysis, functional annotation, or gene set analysis.
devtu-auto-discover-apis
by mims-harvard
Automatically discover life science APIs online, create ToolUniverse tools, validate them, and prepare integration PRs. Performs gap analysis to identify missing tool categories, web searches for APIs, automated tool creation using devtu-create-tool patterns, validation with devtu-fix-tool, and git workflow management. Use when expanding ToolUniverse coverage, adding new API integrations, or systematically discovering scientific resources.
coding-standards
by affaan-m
Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.
postgres-patterns
by affaan-m
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.