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.vercel-labs/agent-browser/agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

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.

io.github.a5c-ai/babysitter/examples

Deploy the application to a target environment. Use when deploying code, releasing, or pushing to staging/production. Requires explicit user invocation.

io.github.medusajs/medusa/writing-docs

Writes and updates Medusa documentation MDX files for the book, resources, ui, user-guide, and cloud projects. Use when making documentation changes based on code diffs, adding new pages, updating existing content, or updating component examples. ALWAYS load this skill before modifying any MDX file in www/apps/.

io.github.opensquilla/opensquilla/pdf-toolkit

Structured `.pdf` operations: extract text/tables, merge pages from multiple PDFs, split a PDF by page ranges, fill PDF form fields, and generate fresh PDFs from JSON. Trigger when the user wants programmatic PDF work without natural-language rewriting — examples: pull tables from a report, combine three PDFs, extract pages 5-12, fill a tax form, or build a new PDF from data. Distinct from `nano-pdf`, which uses an LLM to rewrite a page from a sentence; this skill is deterministic byte-level work via pypdf, pdfplumber, and reportlab.

io.github.citypaul/.dotfiles/testing

Testing patterns for behavior-driven tests. Use when writing tests, creating test factories, structuring test files, or deciding what to test. Do NOT use for UI-specific testing (see front-end-testing or react-testing skills).

io.github.openai/plugins/writing-plans

Use when you have a spec or requirements for a multi-step task, before touching code