Loading…
ce-debug
Cursor Skill
Diagnosis loop for bugs and failing behavior. Use when asked to debug or fix failing or slow behavior.
Brainstorm, plan, debug, review, and compound learnings with AI agents
Skills36
ce-babysit-prBabysits an open GitHub PR until merge-ready. Use when asked to watch a PR over time — not for one-shot comment resolution or one CI failure. GitHub (incl. Enterprise) only.
ce-bakeoffDevelop independent competing solutions to a defined brief, compare them, and synthesize a winning approach. Use when choosing well requires developing alternatives beyond their current form. Use ce-pov to judge developed material and ce-ideate to discover opportunities.
ce-brainstormExplore vague or ambitious ideas into a right-sized requirements-only unified plan. Use when the user wants to brainstorm or scope what to build. Not for executing already-specified work. Use ce-pov for a verdict on adopting a named external technology.
ce-code-reviewReview a named diff or PR for bugs, regressions, tests, and standards. Use when asked to review code or when a shipping skill needs a review receipt. Use when asked to apply this review's findings locally. Use ce-resolve-pr-feedback for feedback already left on a PR.
ce-commitCreate a git commit with a clear, value-communicating message. Use when the user asks to commit/save staged or unstaged changes with a repo-appropriate message.
Related plugins
n8n
Build, test, and run workflows on your n8n instance from Cursor.
Adapter
A mind for Cursor, backed by your Adapter workspace. Recalls context before you work and saves results as you go.
SCX AI
Use SCX.ai models directly inside Cursor. Generate code, debug, and chat using SCX Coder — fast Australian-hosted models built for agentic workflows and long-context tasks.
Artie
Artie real-time CDC pipelines via MCP
Composio
Connect and operate 1000+ external apps from Cursor via the Composio MCP server. Managed OAuth, intelligent tool routing, and a remote sandbox for bulk data processing.
AWS Agents
Build, deploy, and operate AI agents on AWS. Skills for scaffolding agents with Amazon Bedrock AgentCore (Strands, LangGraph), connecting tools via Gateway and MCP, multi-agent and A2A orchestration, memory, Cedar policies, evaluation, observability, debugging traces and logs, and production hardening (inbound auth, IAM, rate limiting, cold-start tuning).