Install AI Skills
Install the CloudGrid agent skills with the Vercel Labs skills CLI so AI coding assistants can use the right CloudGrid setup, operations, observability, and extension guidance.
On this page
CloudGrid ships focused agent skills for setup, operations, observability investigation, AI Chat, JSON render artifacts, extension development, SurrealDB, and the PURISTA AI harness. Install them before asking an AI coding assistant to modify or operate CloudGrid.
The skills are ordinary SKILL.md directories under the CloudGrid repository
skills/ folder. They are grounded in the specs and are meant to keep agents
from inventing routes, contracts, environment variables, storage fields, retry
rules, or error codes.
Install From GitHub
Use the Vercel Labs skills CLI:
npx skills add cloudgrid/cloudgrid --all
This installs the CloudGrid skill catalog from the public repository. Omit
--all if you want the CLI to prompt for individual skills.
Install From A Local Checkout
When you are working from a local CloudGrid clone, install the checked-in skills directly:
cd cloudgrid
npx skills add ./skills --all
This is the best path when you are changing skills locally and want your agent to use the current branch.
Install One Skill
Use --skill when the assistant only needs one workflow:
npx skills add cloudgrid/cloudgrid --skill cloudgrid-trace-investigation
Common choices:
| Skill | Use it when |
|---|---|
cloudgrid-setup-configuration | Starting CloudGrid, configuring local/deployed mode, SSO, SMTP, or self-observability. |
cloudgrid-operations-maintenance | Health checks, start/stop/reset, release verification, troubleshooting, and production readiness. |
cloudgrid-extension-development | Changing contracts, adapters, BFF/service boundaries, public clients, or tests. |
cloudgrid-observability-ui | Working on traces, logs, metrics, dashboards, live trace UI, or telemetry view models. |
cloudgrid-ai-chat-operations | AI Chat provider setup, project-scoped chat, approvals, artifacts, telemetry privacy, and skill coordination. |
cloudgrid-json-render-artifacts | JSON render artifacts, renderer catalog validation, Markdown sanitation, and approval cards. |
ai-harness | PURISTA harness agents, workflows, tools, model aliases, provider adapters, telemetry, and tests. |
The full list lives in the repository at skills/README.md.
How Agents Use Them
After installation, compatible AI assistants can load matching skills when a task mentions CloudGrid setup, operations, telemetry investigation, AI Chat, or extension work.
The skills do not replace the specs. They point the assistant to the right source files, hard boundaries, commands, and verification loops. If behavior is missing from the specs, update the spec first instead of letting an assistant guess.
For skill authoring and maintenance, follow skills/README.md and run:
bun run skills:check
Next Steps
- Continue with Release Compose to evaluate CloudGrid from images.
- Continue with Local quickstart to develop CloudGrid from source.
- Read AI Chat for how CloudGrid mounts skills inside the AI Chat harness runtime.
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