Install the Verbiflow SDK
Updated Sep 8, 2026 · 3 min
The Verbiflow SDK turns your coding agent into a GTM operator. One command installs the Python SDK, a CLI, and an agent Skill for Claude Code and Codex. Your agent researches accounts, builds lists, drafts sequences, and stages plays, and Verbiflow runs the sending.
If you’re pointing an AI agent here, it can install everything itself: tell it to read verbiflow.com/install.md and follow it. The steps below are the same flow, for humans.
Run one command
In a terminal on macOS or Linux. The installer manages Python 3.14:
curl -fsSL https://verbiflow.com/install.sh | sh
It installs, without touching your system Python:
- the
verbiflowPython package in an isolated environment at~/.verbiflow/sdk-venv - the
verbiflowCLI, linked into~/.local/bin - the verbiflow agent Skill for Claude Code and Codex, with guidance for finding and using the right functions
Check the install
~/.verbiflow/sdk-venv/bin/verbiflow --help ~/.verbiflow/sdk-venv/bin/python -c "import verbiflow as vf; print(vf.__version__)"
Both should succeed. If verbiflow isn’t found by name in a new shell, add ~/.local/bin to your PATH.
Connect your workspace
Restart your agent session so it picks up the Skill, then ask it to log in to Verbiflow. The SDK prints a claim URL — open it in your browser, sign in, and the agent polls the claim status to finish connecting. No tokens to copy around.
import verbiflow as vf login = vf.auth.login() print(login["claim_url"]) # open this in your browser
Give your agent a real task
Ask for real work, in plain language:
- “Build a Series A SaaS audience from our funding list, draft copy for heads of GTM, and stage the sequence in Verbiflow.”
- “Take this CSV, enrich it, apply our HubSpot suppression rules, and prepare the rest for review.”
Later, verbiflow update upgrades the SDK and refreshes the Skill in one step.
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