MCPInstall

docyrus-cli-app

Use the Docyrus CLI (docyrus) to interact with the Docyrus platform from the terminal. Use when the user asks to authenticate, list apps, query or manage data records (ds), manage dev app data source schema objects (studio) including data sources, fields, enums, data views, forms, webforms, HTML/PDF export templates, and email templates, manage automations and their triggers/action nodes (automation), build or edit custom AI agents and their sub-resources (agent), set an app's AI agent context or manage app-scoped AI tools (apps), list tenant email accounts and send emails (messaging), manage tenant account settings — brands, the current user's profile, and tenant regional/formatting preferences (account), discover and call connectors (connect), send API requests, switch tenants/accounts, discover tenant OpenAPI specs, drive browser automation (browser), chat with platform agents (docy), launch the pi cowork/coding agents (worky/cody/coder), run the agent br

Installs
778
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/docyrus/agent-skills --skill docyrus-cli-app
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads docyrus-cli-app automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Docyrus CLI

Command index for the docyrus CLI (@docyrus/docyrus). This skill is a quick reference to what commands exist. For exact flags, arguments, and payload shapes of any command, run its help — that is the authoritative, always-current source:

docyrus <command> --help                 # flags + args for a command or group
docyrus <command> <subcommand> --help     # drill into a subcommand
docyrus <command> --llms                  # machine-readable (LLM) manifest of a command tree

Conventions (apply across all commands)

  • Output: add --json (or --format <toon|json|yaml|md|jsonl>) for machine-readable output; --verbose shows the full envelope.
  • Flag forms: --help prints flags in kebab-case (--app-slug, --from-file); the parser also accepts the camelCase schema keys (--appSlug, --fromFile). Both work.
  • Selectors are exclusive pairs — pass exactly one of each; the CLI resolves the other: --appId | --appSlug, --dataSourceId | --dataSourceSlug, --fieldId | --fieldSlug, etc.
  • Write payloads: mutating commands take convenience flags and/or --data '<json>' / --from-file <path.json>. Explicit flags merge over the JSON. Complex objects (nested data, field_mapping, schemas, conditions) must go through --data/--from-file.
  • Settings scope & sessions: settings live in a project-local ./.docyrus/ folder (ancestor-resolved from cwd); -g/--global uses ~/.docyrus/. Auth and the active tenant are per-scope.
  • Escape hatch: docyrus curl <path> [-X .. -d .. -G] sends an authenticated request to any API path — use it for endpoints without a dedicated command (e.g. template render, webform items). For complex reads, pass query params as one JSON object with -G -d '{...}' (URL-encoded for you).

Command index

Run docyrus <command> --help for flags. Groups marked (group) have their own subcommands — drill in with --help.

auth — authentication, accounts, tenants

login · logout · who · tenant · set-tokens · sso-session · github · sandbox · git-credential · accounts (group) · tenants (group)

apps — apps & app-scoped resources

create (requires --slug) · clone · templates · check-slug (app creation + local-dev bootstrap — see docyrus-create-app) · list · update · delete · restore · permanent-delete · set-agent-context · actions (group: action CRUD + run) · ai-tools (group: app-scoped AI tool CRUD — see docyrus-app-ai-tools)

ds — data records (CRUD + sub-objects)

get (data source metadata) · list (query records) · create · update · delete · comments (group: record comments) · files (group: record file attachments, incl. upload)

dsql — logical SQL querying

query (read-only SELECT over appSlug.dataSourceSlug) · ask (NL → query → run) · generate (NL → query, no run) · schema (group: schema discovery). See docyrus-dsql-query-design. Custom query records (saved, parameterized query templates): list-custom-query · get-custom-query · create-custom-query · update-custom-query · delete-custom-query · run-custom-query (execute; --debug = compiled SQL, --simulate = EXPLAIN ANALYZE). See docyrus-custom-query.

studio — dev app schema CRUD

Data sources: create-data-source · get-data-source · update-data-source · delete-data-source · restore-data-source · permanent-delete-data-source · list-data-sources · bulk-create-data-sources Fields: create-field · get-field · update-field · delete-field · list-fields · create-fields-batch · update-fields-batch · delete-fields-batch · search-fields Enums: create-enums · update-enums · delete-enums · list-enums · search-enums · search-enum-sets Data views: create-data-view · get-data-view · update-data-view · delete-data-view · list-data-views Forms: create-form · get-form · update-form · delete-form · list-forms Webforms: create-webform · get-webform · update-webform · delete-webform · list-webforms (see docyrus-webform-design) HTML/PDF templates: create-html-template · get-html-template · update-html-template · delete-html-template · list-html-templates (see docyrus-print-pdf-template-design) Email templates: create-email-template · get-email-template · update-email-template · delete-email-template · list-email-templates (see docyrus-email-template-design) → Design how-to: docyrus-data-source-design.

automation — workflows

Automations: create · get · update · delete · list Triggers: create-trigger · update-trigger · delete-trigger · get-trigger · list-triggers Action nodes: create-node · update-node · delete-node · get-node · list-nodes → Design how-to: docyrus-automation-design.

agent — custom AI agents & sub-resources

Agent: create · get · update · delete · list · upload Sub-resource groups (each list/get/create/update/delete): models · tools · data-sources · docs · mcps · connections · dynamic-contexts · workflow-steps · deployments · deployment-tools · deployment-data-sources · workflow-jobs (read-only + delete) · tasks · recurring-tasks → Design how-to: docyrus-agent-design.

messaging — email & notifications

accounts (list tenant email accounts) · email (group: incl. send)

account — tenant account management

brands (group: tenant brand CRUD — list · get · create · update · delete · fetch-from-website) · user-profile (group: get · update the current user's own profile) · tenant-preferences (group: get · update the tenant's regional/formatting preferences)

  • brands — the tenant's visual identity, typography, voice, and content guidelines (tenant_brand). create/update take camelCase convenience flags (1:1 with the snake_case DTO keys) plus --data / --from-file; --name is required on create. → Manage how-to (incl. full field catalog): docyrus-tenant-brand-management.
  • user-profile — the authenticated user's own profile (get/update, no selector). update flags cover the self-service fields: --firstname · --lastname · --mobile · --dateOfBirth · --gender · --timeZone · --language.
  • tenant-preferences — the workspace's regional/formatting settings. update is tenant-admin only and takes camelCase flags (1:1 with the snake_case --data keys) plus --data / --from-file: --language · --locale · --timeZone · --startWeekOn · --fiscalYear · --dateFormat · --dateTimeFormat · --timeFormat · --longDateFormat · --businessHoursBegin · --businessHoursEnd · --dailyWorkingHours (seconds) · --weeklyWorkingCapacity · --timeRounding · --baseCurrency · --currencyAbbrPosition (BEFORE/AFTER) · --decimalPrecision · --decimalSeparator · --thousandSeparator. get returns just the preferences record (camelCase keys).

→ user-profile / tenant-preferences how-to (incl. full field catalog): docyrus-account-settings.

connect — connectors & actions

list-connectors · get-connector · list-connections · get-action · run-action · curl (request through a connector's provider auth) → Usage how-to: docyrus-integrations-and-connectors.

discover — tenant OpenAPI discovery

api (download spec) · namespaces · path · endpoint · entity · search

curl — raw API

docyrus curl <path> [-X <method>] [-d <body>] [-G] [-H <header>] — authenticated request to any Docyrus API path.

  • Body: docyrus curl -X POST /v1/apps -d '{"name":"..."}' — a JSON -d is sent as the request body.
  • Query params: with -G, pass -d a single JSON object — each key becomes a query param, nested values are JSON-stringified, and every value is URL-encoded for you. This is the way to send complex reads (columns, filters, childQueries) without escaping: docyrus curl "/v1/apps/<app>/data-sources/<ds>/items/<id>" -G -d '{"columns":"id,rel(id,name),app_child__ref","childQueries":[{"alias":"app_child__ref","from":"app_child","using":"ref","columns":"name"}]}'
  • -d is a single value (not repeatable) and there is no --data-urlencode — the -G JSON-object form above replaces both.

AI agents & runtime

docy "<prompt>" (chat with the platform's main AI agent) · worky (pi Cowork agent) · cody / coder (pi Coding agent) · server (HTTP bridge from a pi agent to AI SDK useChat)

browser — browser automation (local Chrome or remote Cloudflare)

start · url · nav · snapshot · click · fill · select · eval · run-script · screenshot · content · console · network · cookies · devtools · info · tabs · wait · close

knowledge — repo knowledge graph (dev tooling)

search · section · locate · refs · expand · check · doctor · audit-staged · pre-commit · list-impacted · init · generate-initial · refresh · config · hook

project-plan — repo-tracked project plan (dev tooling)

show · summary · list-phases · list-features · list-tasks · find-tasks · get-task · upsert-phase · upsert-feature · upsert-task · set-task-status · set-order · ensure · check · config · create-linked-todo · upsert-from-architect · upsert-from-plan

release — versioning

new-version · status

tui — terminal UI

docyrus tui — launch the OpenTUI terminal UI (requires Bun; if Bun is missing, offers to install it in an interactive terminal).

Built-ins

docyrus completions (shell completion) · docyrus mcp add (register as MCP server) · docyrus skills add (sync skill files) · global --mcp (start as MCP stdio server).

Related skills

For creating apps and bootstrapping local development (docyrus apps create / clone / templates), use docyrus-create-app. For designing the things these commands manage, use the dedicated skills: docyrus-data-source-design, docyrus-automation-design, docyrus-agent-design, docyrus-app-ai-tools, docyrus-email-template-design, docyrus-print-pdf-template-design, docyrus-webform-design, docyrus-acl-design (docyrus acl), docyrus-tenant-brand-management (docyrus account brands), docyrus-account-settings (docyrus account user-profile / tenant-preferences), docyrus-dsql-query-design, docyrus-custom-query (saved query records via docyrus dsql *-custom-query). For platform architecture/concepts: docyrus-platform. For the REST API in app code: docyrus-api-dev.

FAQ

What does the docyrus-cli-app skill do?

Use the Docyrus CLI (docyrus) to interact with the Docyrus platform from the terminal. Use when the user asks to authenticate, list apps, query or manage data records (ds), manage dev app data source schema objects (studio) including data sources, fields, enums, data views, forms, webforms, HTML/PDF export templates, and email templates, manage automations and their triggers/action nodes (automation), build or edit custom AI agents and their sub-resources (agent), set an app's AI agent context or manage app-scoped AI tools (apps), list tenant email accounts and send emails (messaging), manage tenant account settings — brands, the current user's profile, and tenant regional/formatting preferences (account), discover and call connectors (connect), send API requests, switch tenants/accounts, discover tenant OpenAPI specs, drive browser automation (browser), chat with platform agents (docy), launch the pi cowork/coding agents (worky/cody/coder), run the agent br

How do I install docyrus-cli-app?

Run npx skills add https://github.com/docyrus/agent-skills --skill docyrus-cli-app in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/docyrus-cli-app/ (personal) or .claude/skills/docyrus-cli-app/ (project).

Which AI agents can use docyrus-cli-app?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is docyrus-cli-app safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains docyrus-cli-app?

It is published by docyrus in docyrus/agent-skills. It has 778 recorded installs.

More from docyrus/agent-skills

View all →

docyrus-api-dev

docyrus/agent-skills

Develop applications using the Docyrus API with @docyrus/api-client and @docyrus/signin libraries. Use when building apps that authenticate with Docyrus OAuth2 (PKCE, iframe, client credentials, device code), make REST API calls to Docyrus data source endpoints, construct query payloads with filters, aggregations, formulas, pivots, and child queries, or integrate with external connectors (discover connectors, send requests through provider auth, run actions). Triggers on tasks involving Docyrus API integration, @docyrus/api-client usage, @docyrus/signin authentication, data source query building, Docyrus REST endpoint consumption, connector discovery, or external provider requests.

Backend & APIs826 installs

docyrus-platform

docyrus/agent-skills

Architecture and building-blocks reference for the Docyrus platform — what the platform is made of (apps, data sources, fields, enumerations, custom queries, automations) and how the pieces fit together. Use when you need conceptual context about how Docyrus works, what its building blocks and capabilities are, or to decide which dedicated skill to use for a task. This is the conceptual map and router; hands-on how-to lives in the dedicated design / CLI / API skills it points to (data sources, automations, agents, AI tools, templates, webforms, ACL, querying, the CLI, and the REST API).

Backend & APIs222 installs

docyrus-api-doctor

docyrus/agent-skills

Run after making Docyrus API changes to catch bugs, performance issues, and code quality problems. Use when implementing or modifying code that uses Docyrus collection hooks (.list, .get, .create, .update, .delete), direct RestApiClient calls, query payloads with filters/calculations/formulas/childQueries/pivots, or TanStack Query integration with Docyrus data sources. Triggers on tasks involving Docyrus API logic, data fetching, mutations, or query payload construction.

Backend & APIs91 installs

docyrus-app-dev

docyrus/agent-skills

Build React TypeScript web applications using Docyrus as a backend. Use when creating or modifying apps that authenticate with Docyrus OAuth2, fetch/mutate data via the @docyrus/api-client library, use auto-generated collections for CRUD operations, or build queries with filters, aggregations, formulas, pivots, and child queries against Docyrus data sources. Triggers on tasks involving @docyrus/api-client, @docyrus/signin, Docyrus collections, data source queries, or Docyrus-backed React app development.

Backend & APIs87 installs

docyrus-architect

docyrus/agent-skills

Use the Docyrus Architect MCP tools to manage data sources, fields, enums, apps, custom queries, and query data in the Docyrus platform. Use when the user asks to create, update, delete, or query data sources, fields, enum options, apps, or custom query templates via the docyrus-architect MCP server. Also use when building reports, dashboards, or performing data analysis that requires querying Docyrus data sources or running custom SQL templates with filters, aggregations, formulas, pivots, or child queries.

AI & Agents75 installs

docyrus-app-dev-react

docyrus/agent-skills

Build Docyrus React TypeScript web applications end-to-end, combining authentication, API access, @docyrus/app-utils runtime helpers, @docyrus/devtools in-app debugging, generated collections, TanStack Query/Form patterns, and production-grade UI implementation with preferred component libraries. Use when creating or modifying Docyrus-backed apps that use @docyrus/api-client, @docyrus/signin, @docyrus/app-utils, @docyrus/devtools, Docyrus collections, queries, dashboards, forms, tables, layouts, or Docyrus UI components.

Popular productivity & automation skills

View category →

agent-browser

vercel-labs/agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

OfficialProductivity & Automation1.3M installs

lark-doc

open.feishu.cn

飞书云文档(Docx / Wiki)内容操作:读取、创建、编辑文档,插入或下载图片附件,以及操作思维笔记。用户提供文档 URL/token(包括 doubao.com 的 /docx/、/wiki/)时使用;按 URL 路径/token 而非域名路由;/page/ 是妙搭应用,非飞书云文档。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive;随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。

lark-base

open.feishu.cn

飞书多维表格(Base)操作:建表、字段、记录、视图、统计、公式/lookup、表单、仪表盘、应用模式(BaseApp/AppMode 页面与组件)、Workspace 目录、workflow、角色权限、模板中心(多维表格模板分类/列表/搜索);遇到 Base/多维表格/bitable、BaseApp/AppMode、/base/ 或 /app/ 链接时使用。BaseApp 不走 lark-apps;文件导入/导出转 lark-drive,认证/授权转 lark-shared。

lark-drive

open.feishu.cn

飞书云空间(云盘/云存储):管理 Drive 文件和文件夹,包含上传/下载、创建文件夹、复制/移动/删除、查看元数据、查询权限设置、评论/权限/订阅、标题、版本、飞书文档密级标签(secure labels)和本地文件导入。用户需要整理云盘目录、处理云空间资源 URL/token、判断链接类型/真实 token/标题,或导入 Word/Markdown/Excel/CSV/PPTX/.base 为 docx/sheet/bitable/slides 时使用;doubao.com 云空间 URL/token 也按资源路径和 token 路由,不回退 WebFetch。不负责:文档内容编辑(走 lark-doc)、表格/Base 表内数据操作(走 lark-sheets/lark-base)、知识空间节点/成员管理(走 lark-wiki)、原生 Markdown 文件读写/patch/diff(走 lark-markdown)。

lark-shared

open.feishu.cn

Use for lark-cli setup/auth tasks: auth login/status/logout, user vs bot identity, business-domain permissions (--domain, including all/docs/drive), missing scopes, revoking authorization, or handling notice JSON.

lark-im

open.feishu.cn

飞书即时通讯:收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复、发送应用内/短信/电话加急、发送和处理交互卡片(Interactive Card)、监听卡片按钮回调(card.action.trigger)。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员、搜索群、创建群聊或话题群、管理标记数据、管理 Feed 置顶(添加/移除/查询置顶会话)、管理标签数据、处理卡片回调时使用。