systematic-debugging
A rigorous, four-phase methodology to enforce systematic root cause analysis before applying any code fixes.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
447 skills found
A rigorous, four-phase methodology to enforce systematic root cause analysis before applying any code fixes.
Deploy isolated development containers with web-accessible VSCode, VNC, and automated app routing via Traefik or Cloudflare Tunnels.
System detection and cross-platform command execution engine for managing OS-specific infrastructure and development environments.
Generate consistent, Conventional Commits-compliant messages directly from your staged git diffs.
An autonomous UI implementation agent that converts Figma designs into pixel-perfect code using Figma MCP and browser-based refinement.
🛡️ GDPR & LGPD Privacy Guardian: Automated compliance scanner that detects PII exposure, insecure logging, and tracking violations in your codebase to prevent regulatory fines.
RPI Plan Phase: Create chunk-based, dependency-aware implementation plans from research documents for structured, atomic development.
The foundational skill for the Superpowers methodology. Ensures agents correctly identify and invoke required development skills before starting any task or conversation.
Automatically keep technical documentation in sync with codebase changes by analyzing git diffs.
Upgrade Next.js projects to the latest version using official migration guides and automated codemods.
Python bindings (dartpy) for DART physics simulation: build wheels, generate type stubs, and manage robotics simulation workflows using nanobind and C++ integration.
Automates the creation and maintenance of JSDoc documentation for DuploJS utilities, ensuring consistent index.md structures and synchronized code examples.