6,039 resources
io.github.ForceInjection/domain-driven-design-skills/cursor-debate-go-go-golems-docmgr-1fb60d22
Run a research-first, multi-perspective debate to explore complex technical decisions (trade-offs, architecture choices, integration strategies) using concrete codebase evidence. Use when the user asks to "debate" approaches, compare options, or needs a structured exploration before deciding.
io.github.a5c-ai/babysitter/browser-automation
Automate browser interactions using Playwright, Puppeteer, or Selenium — scraping, testing, and workflow automation for web applications.
io.github.a5c-ai/babysitter/mobile-sensor-integration
Integrate mobile device sensors — accelerometer, gyroscope, GPS, camera, and biometric APIs for iOS and Android.
io.github.a5c-ai/babysitter/mobile-gui-automation
Automate mobile GUI testing — UI element interaction, gesture simulation, and cross-device visual regression for iOS and Android.
io.github.a5c-ai/babysitter/backend-async-processing
Implement backend async and background processing patterns — event-driven architectures, message queues, async task runners, and worker pools.
io.github.a5c-ai/babysitter/database-testing
Test database operations — schema migration validation, query correctness, transaction integrity, and data consistency checks.
io.github.a5c-ai/babysitter/database-drivers-connectors
Integrate database drivers and connectors — connection pooling, query builders, ORM configuration, and multi-database abstraction layers.
io.github.Gentleman-Programming/gentle-ai/cognitive-doc-design
Design docs that reduce cognitive load. Trigger: writing guides, READMEs, RFCs, onboarding, architecture, or review-facing docs.
io.github.nixopus/nixopus/dockerfile-generation
Generate production-ready multi-stage Dockerfiles per ecosystem with best practices. Use when the user needs a Dockerfile, asks about containerization, or when no Dockerfile exists in the repository.
io.github.nixopus/nixopus/dockerignore-generation
Generate ecosystem-specific .dockerignore files to reduce build context size and prevent secret leaks. Use when no .dockerignore exists, when the build context is large, or when secrets may be leaking into images.
io.github.nixopus/nixopus/mcp-integrations
MCP server discovery, tool invocation, and provider catalog integration. Load when a task involves external services, third-party tools, or when the user asks about MCP servers.
io.github.nixopus/nixopus/database-migration
Run database migrations safely during deployment — framework-specific commands, pre-deploy vs post-deploy timing, health gates, and rollback strategies. Use when the app has a database migration system and needs migrations run during deployment.
io.github.nixopus/nixopus/deploy-flow
Full deploy pipeline — source detection, hints-driven analysis, project creation, deployment monitoring, and live URL delivery. Load when the user wants to deploy an application.
io.github.nixopus/nixopus/shell-deploy
Deploy shell script applications — interpreter detection, setup scripts, and Dockerfile patterns. Use when deploying a shell script project, or when start.sh is detected.
io.github.nixopus/nixopus/deployment-analysis
Analyze a repository to determine ecosystem, deployment targets, ports, build commands, and monorepo structure. Use when starting a new deployment, onboarding a repository, or when the user asks what stack or framework a project uses.
io.github.nixopus/nixopus/static-deploy
Deploy static file sites — Caddy/nginx serving, Staticfile config, and Dockerfile patterns. Use when deploying a static HTML site with no server-side runtime, or when index.html or a Staticfile is detected at the project root.
io.github.nixopus/nixopus/deploy-delegation
Sub-agent routing table — which agent handles diagnostics, machine health, infrastructure, GitHub, billing, and notifications. Load when the current task is not a direct deployment.
io.github.nixopus/nixopus/python-deploy
Build and deploy Python applications — uv, poetry, pdm, pipenv, pip, framework detection, and Dockerfile patterns. Use when deploying a Python project, or when requirements.txt, pyproject.toml, or Pipfile is detected.
io.github.podman-desktop/podman-desktop/mcp-testing
Interactive testing of Podman Desktop UI using the electron-test MCP server. Supports both production (installed app) and development (pnpm watch) modes. Use for manually testing UI workflows, debugging UI issues, exploring features, or quick acceptance testing.
io.github.a5c-ai/babysitter/mcp-transport-websocket-setup
Configure WebSocket transport for bidirectional MCP communication with connection management and reconnection handling.
io.github.a5c-ai/babysitter/mcp-transport-sse-setup
Configure HTTP/SSE transport for web-based MCP servers with proper endpoints, authentication, and CORS.
io.github.a5c-ai/babysitter/mcp-tool-schema-generator
Generate JSON Schema definitions for MCP tool input parameters. Creates well-documented, AI-consumable schemas with proper types, descriptions, and validation rules.
io.github.a5c-ai/babysitter/mcp-resource-uri-designer
Design and implement MCP resource URI schemes and templates with proper naming, hierarchy, and documentation.
io.github.a5c-ai/babysitter/typescript-sdk-specialist
TypeScript SDK development with Node.js and browser support. Design SDK architecture, implement type-safe API clients, support ESM and CommonJS modules, and configure bundling for browsers.
