Kits / Skill
SkillCursor
Cloud agent playbook
A workflow for writing tasks, repos, and acceptance checks for Cursor cloud agents.
Loaded on demand when the task matches the description.
Install path
.cursor/skills/cloud-agent-playbook/SKILL.md
.cursor/skills/cloud-agent-playbook/SKILL.md
--- name: cloud-agent-playbook description: Write a focused brief for a Cursor cloud agent: outcome, constraints, stack, and how to verify. Use when launching or rewriting an agent task. --- # Cloud agent playbook ## Brief State the outcome as a user-visible slice, not a platform: - Who it is for - What they can do when it is done - What “done” looks like in the browser or CLI ## Constraints worth writing down - Stack (or “use the repo default”) - What not to add (auth, database, extra services) - Domain or product name - Independent / trademark notes if the work sits near another product ## Verification Ask for: 1. A running surface (dev server or command) 2. Empty / loading / error where they apply 3. A README that matches reality ## After the brief (2026 harness) - `/goal` for an objective that is not one edit (“CI green,” “empty states on every new list”). - Custom Mode if the brief is really a playbook — pin the skill for the whole session. - Subscriptions if work should wake on a PR, Slack thread, or schedule. Cloud agents already subscribe to PRs they open. - Isolated subagent VMs when you want a clean checkout to test or swarm. Do not share one dirty working tree across colliding fixes. - **Start from scratch** if there is no GitHub/GitLab repo yet. Prompt first, then Create repo on Origin when the slice is usable. Preview is port-forwarded; Vercel publish is optional. - **Projects** when the work should keep memory for weeks. The coordinator plans and delegates; it does not write the feature. - **Self-hosted** only when code, builds, or secrets must stay on your network. Cursor-hosted remains the default. ## Anti-patterns - “Build a SaaS for X” with no first slice - Asking for auth + payments + AI + admin in one run - Leaving the agent to invent the product name and voice - A daily automation with no definition of done