project-health-checker
Quick diagnostic tool (30s) running validation and health checks. Use for fast status checks. Related: audit-agent for comprehensive security and code quality audits.
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Quick diagnostic tool (30s) running validation and health checks. Use for fast status checks. Related: audit-agent for comprehensive security and code quality audits.
Validates type contracts between TypeScript interfaces and Pydantic models. Detects field mismatches and type inconsistencies. Related: frontend-backend-mapper for endpoint discovery.
Deploys the project to staging or production using this project's scripts. Use when asked to 'deploy' or 'push to staging'.
Analyzes and maps frontend API calls to backend endpoints. Detects missing endpoints, unused endpoints, and integration gaps. Optional: trace complete data flows to database and design tokens. Related: api-cont...
Scaffolds a new FastAPI endpoint with Pydantic models, router registration, and tests. Use when creating new backend API endpoints. Related: pydantic-model-scaffolder for complex model validation.
Execute and manage 26 Genkit AI flows via MCP with 90% caching. Use when generating KSC responses, creating cover letters, analyzing resumes, or orchestrating multi-step AI workflows. Provides 70-90% token savi...
Evaluates skill effectiveness, suggests improvements to instructions, identifies missing edge cases, and recommends structure changes.
Scaffolds a new Python tool utility in 'src/tools/' for agents to call. Tools are utility functions (web scraping, PDF parsing, database queries) that agents use. Use when creating utilities that agents depend...
Extracts text content from one or more PDF documents.
Generates a Storybook story file (*.stories.tsx) with M3 design token imports and interactive variant stories. Use when documenting React components for development and QA testing.
Generates integration tests for frontend → backend → Genkit flow connections. Use when creating E2E API tests.
Format blog content into properly structured markdown files for Next.js portfolio blog. Use when user wants to: (1) Format raw blog content into markdown with frontmatter, (2) Create new blog posts from topics...
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include website...
Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.
Convert PRDs to prd.json format for the Ralph autonomous agent system. Use when you have an existing PRD and need to convert it to Ralph's JSON format. Triggers on: convert this prd, turn this into ralph format...
Generate a Product Requirements Document (PRD) for a new feature. Use when planning a feature, starting a new project, or when asked to create a PRD. Triggers on: create a prd, write prd for, plan this feature,...
Generate React components for IntelliFill following patterns (forwardRef, CVA variants, Radix UI, TailwindCSS). Use when creating UI components, forms, or pages.
Browser automation for testing IntelliFill. Replaces puppeteer MCP to save ~4.8k tokens.
Prisma schema design and database operations for IntelliFill. Use when modifying database schema, writing queries, or managing migrations.
End-to-end testing with Cypress and Playwright for IntelliFill. Use when writing E2E tests, custom commands, or CI integration.
Maintain documentation for IntelliFill following Diátaxis framework. Use when creating or updating docs, API references, or guides.
Create Zustand stores for IntelliFill with immer, persist, and devtools middleware. Use when adding state management for new features.
Bull queue setup, worker processes, job lifecycle, error handling, retries, progress reporting, Redis connection management, and queue patterns for OCR and knowledge processing
Complete guide for implementing file uploads in IntelliFill with React-dropzone frontend, Multer backend, file validation, Bull queue processing, and security best practices
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.