d1vai/d1v
Установка
npx skills add https://github.com/d1vai/d1v-cli/tree/main/skills/d1vСтавит скилл в текущий проект - CLI спросит, для каких агентов. С флагом -g - в домашнюю папку, для всех проектов.
Установи скилл «d1vai/d1v» из https://github.com/d1vai/d1v-cli/tree/main/skills/d1v: скопируй эту папку целиком в .claude/skills/d1vai-d1v (для Codex - в .agents/skills/d1vai-d1v). Потом прочитай SKILL.md и коротко скажи, в каких задачах будешь его применять.
Вставьте в Claude Code или Codex, открытый в папке проекта.
В Библиотеке ВайбКода этот скилл открывает исходник: автоматической установки для его формата пока нет. Поставьте командой или промптом.
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Описание
Operate d1v.ai projects and container workspaces with the d1v CLI. Use when a task involves D1V authentication, project binding, workspace synchronization, container commands, environment metadata, preview deployments, deployment status, or a user-confirmed production release.
SKILL.md
Исходник на GitHubd1v CLI
Use the installed d1v command. For automation and structured inspection, use
--format json; never mix JSON output with an interactive shell.
Safety
- Never print, log, commit, or add API keys, tokens, environment values, or shell tickets to source files, command output, or repository configuration.
- Inspect authentication and project state before changing anything. Check the command exit code and query resulting state; a submitted request is not proof of success.
- Run
pull --dry-runorpush --dry-runbefore changing a local workspace, then inspect repository instructions and local changes. - Treat preview and production as separate environments. A production release requires an interactive TTY and explicit user confirmation; do not attempt or imply a non-interactive production release.
- If a deployment fails or times out, preserve its deployment/release ID and use
deploy statusordeploy historyrather than blindly retrying.
Authenticate and discover
d1v auth status --format json
d1v project list --format json
d1v github status --format json
If authentication is missing, ask the user to run d1v auth login. Do not ask
them to paste a token into chat or a command line. An API key supplied through a
secure standard-input workflow can be used with d1v auth login --api-key.
Bind a local workspace
d1v project get <project_id> --format json
d1v init . --project-id <project_id>
d1v pull --dry-run --format json
d1v pull
d1v push --dry-run --format json
d1v push
d1v init writes local workspace metadata. Do not use --force unless the
user explicitly approves replacing an existing binding.
Run commands in a workspace
Use an interactive shell only when a person needs a terminal:
d1v shell
d1v shell <project_id>
d1v shell --organization-id <organization_id>
- With no target,
d1v shellopens the personal workspace root. - A project ID opens that project's directory. Do not combine it with
--organization-id. - Interactive shells require a TTY and text output. Do not use
--format jsonwithd1v shell.
For automation, Agent actions, CI, or captured exit status, use d1v exec and
place the remote argv after --:
d1v exec -- git status --short
d1v exec --project-id <project_id> -- npm test
d1v exec --organization-id <organization_id> -- pwd
d1v --format json exec --project-id <project_id> -- sh -c 'printf ok; printf problem >&2; exit 7'
Read stdout, stderr, cwd, and exit_code; a non-zero remote exit is a
failed action. Do not wrap commands in sh -c unless shell syntax is required.
Shell access uses a short-lived, single-use ticket. Never print, persist,
forward, or reconstruct terminal WebSocket URLs from that ticket.
Environment metadata
d1v env list --project <project_id> --format json
d1v env set --project <project_id> KEY=VALUE --sensitive
The default list output keeps sensitive values redacted. Do not use --reveal,
env get --reveal, or env export unless the user explicitly asks for the
secret material and has provided a safe destination outside version control.
Deployments
Create a preview with the explicit command when a project ID is known:
d1v deploy preview <project_id> --format json
d1v deploy status <project_id> --format json
d1v deploy history <project_id> --environment preview --format json
d1v deploy preview waits for the deployment's terminal state. Report success
only when it returns READY, and use its production_url when present, otherwise
its vercel_url. On failure, report the error and deployment ID without
repeating the request automatically.
d1v --preview (or d1v --prev) is the current-directory shortcut. It may
prompt to select or create a project and write the resulting project binding;
use it only when the user wants that local-directory workflow.
For production, first explain the pending operation and then require a clear user confirmation in an interactive terminal:
d1v deploy prod <project_id>
The CLI shows release preflight information, prompts for relevant environment
decisions, creates an idempotent release, and waits for its terminal state. It
rejects non-interactive production releases. On failure, report the release
phase, error code, and message. The d1v --prod shortcut follows the same
confirmation and release flow for the bound current directory.
Local runtime
d1v runtime doctor --format json
d1v agent status --format json
d1v agent pair
d1v agent start
Do not silently switch a requested local runtime to cloud when it is unavailable. Explain the runtime status and ask the user how to proceed.