Agent Skills

io.github.ForceInjection/domain-driven-design-skills/automation-strategy-melodic-software-claude-code-plugins-b69ff37b

Plan test automation strategies including ROI analysis, automation candidate selection, framework evaluation, and maintainable automation architecture.

io.github.ForceInjection/domain-driven-design-skills/automation-pluginagentmarketpla-custom-plugin-qa

Production-grade test automation skill covering Selenium, Cypress, Playwright, Appium with POM architecture, retry logic, and CI/CD integration

io.github.ForceInjection/domain-driven-design-skills/automation-scripts-miles990-claude-software-skil

Build automation, task runners, and scripting tools

io.github.ForceInjection/domain-driven-design-skills/automation-refactor-macroman5-automationhelper-plu

Expert automation workflow refactoring tool for Power Automate, n8n, Make, Zapier and other platforms. Optimizes existing flows by improving performance, reliability, maintainability, and best practices compliance. Triggers when user wants to improve, optimize, refactor, correct values, enhance, or modernize workflows. Analyzes JSON, suggests improvements, outputs refactored flow maintaining original functionality unless changes requested.

io.github.ForceInjection/domain-driven-design-skills/automation-builder-ddunnock-claude-plugins

Analyze codebases and generate Claude Code automation infrastructure including commands, scripts, and templates for systematic task execution. Use when the user wants to create reusable automation workflows, generate .claude/commands files, create supporting bash/python scripts, build markdown templates for structured outputs, or establish multi-step task execution frameworks that work across projects.

io.github.ForceInjection/domain-driven-design-skills/automation-language-selection-csheng-dot-claude

Choose between Shell and Python for generated automation code based on task traits. Use when automation language selection guidance is required.

io.github.ForceInjection/domain-driven-design-skills/css-fundamentals-pluginagentmarketpla-custom-plugin-css-22670519

CSS fundamentals - selectors, specificity, box model, positioning, units

io.github.ForceInjection/domain-driven-design-skills/cursor-mem-chachamaru127-claude-code-harness

Cursorでclaude-memのMCPサーバーにアクセスし、過去のセッション記録を検索・新しい観測を記録。トリガー: 'メモリ検索', 'claude-mem', '過去の判断', '記録して', 'memory search', 'past decisions'. Do NOT load for: 通常のコーディング、一時的なメモ、実装作業。

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.