Customer and Team Operations · Public

oto-cli

Customer and team operations project for checking CRM/low-code data models, permissions, workflows, and rollback.

CRMLow-codeTeam workflowsPermission modelBusiness data

Best fitSmall teams and internal-tool developers building customer, sales, support, or team operations workflows.

Check whether this project matches your task before installing it.

What it can doData model checks, permission boundaries, workflow acceptance, import/export, and rollback guidance

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot4 stars

0 forks · 2 contributors

Doramagic.ai Last verification date: 2026-07-28 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-07-28

What is oto-cli?

oto-cli supports customer, sales, team operations, or low-code business systems.
Best fit: Small teams and internal-tool developers building customer, sales, support, or team operations workflows.
Not for: Not for environments that cannot isolate customer data, permission models, or workflow changes.
Capability added to an AI workflow: Data model checks, permission boundaries, workflow acceptance, import/export, and rollback guidance
First safe verification step: Verify one reversible workflow with sample business data first.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/otomata-tech/oto-cli, https://github.com/otomata-tech/oto-cli#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forSmall teams and internal-tool developers building customer, sales, support, or team operations workflows.

Match the project to your task before installing it.

CapabilityData model checks, permission boundaries, workflow acceptance, import/export, and rollback guidance

Customer and team operations project for checking CRM/low-code data models, permissions, workflows, and rollback.

Repositoryotomata-tech/oto-cli

4 stars · 0 forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Introduction to oto-cli

Related topics: Architecture and Auto-Discovery, Built-in Connectors Reference

Source: https://github.com/otomata-tech/oto-cli / Human Manual

Architecture and Auto-Discovery

Related topics: Introduction to oto-cli, Built-in Connectors Reference, Creating Custom Connectors

Source: https://github.com/otomata-tech/oto-cli / Human Manual

Built-in Connectors Reference

Related topics: Architecture and Auto-Discovery, Creating Custom Connectors

Source: https://github.com/otomata-tech/oto-cli / Human Manual

Creating Custom Connectors

Related topics: Architecture and Auto-Discovery, Built-in Connectors Reference

Source: https://github.com/otomata-tech/oto-cli / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/otomata-tech/oto-cli, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars4 stars

Forks0 forks

Contributors2 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using oto-cli with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Épic — rework secrets côté CLI : providers (keychain/sops) + lookup scop
github / github_issue
02
Isoler les connecteurs custom/client du core public via entry-points `ot
github / github_issue
03
Browser clients: collective & wttj
github / github_issue
04
v1.5.0
github / github_release
05
v1.4.1 — LinkedIn: profil par défaut (--profile optionnel)
github / github_release
06
v1.4.0 — LinkedIn outreach (send/connect/login)
github / github_release
07
v1.3.0
github / github_release
08
v1.2.0
github / github_release
09
v1.0.0 — CLI toolkit for AI agents
github / github_release
10
v0.4.0 — Gmail multi-account, attachments & drafts
github / github_release
11
v0.3.0
github / github_release
12
v0.2.0
github / github_release

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

pipx install oto-cli

Official start command · https://github.com/otomata-tech/oto-cli#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

oto-cli Manual

CLI for business automation — Google Workspace, browser scraping, company data, AI, CRM. For humans and AI agents.

Open the full manual

https://github.com/otomata-tech/oto-cli Project Manual
Table of Contents
Introduction to oto-cli
Related Pages
What `oto-cli` Solves
Command Discovery and Plugin Architecture
Configuration and Secrets
Installation and Optional Extras

Introduction to oto-cli

Related topics: Architecture and Auto-Discovery, Built-in Connectors Reference

Source: https://github.com/otomata-tech/oto-cli / Human Manual

Architecture and Auto-Discovery

Related topics: Introduction to oto-cli, Built-in Connectors Reference, Creating Custom Connectors

Source: https://github.com/otomata-tech/oto-cli / Human Manual

Built-in Connectors Reference

Related topics: Architecture and Auto-Discovery, Creating Custom Connectors

Source: https://github.com/otomata-tech/oto-cli / Human Manual

Creating Custom Connectors

Related topics: Architecture and Auto-Discovery, Built-in Connectors Reference

Source: https://github.com/otomata-tech/oto-cli / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.