Agentify
Agentify lets you design and run AI‑driven “vibe” workflows from Python or the CLI, chaining LLM calls, tools, and conditional logic without writing boilerplate code.
- •You need a lightweight orchestrator to chain multiple LLM prompts, tool calls, and branching logic.
- •Your product team wants to prototype a multi‑step AI assistant (e.g., data fetch → analysis → summary) quickly.
- •You prefer Python over a visual low‑code platform but still want a declarative YAML workflow definition.
agentify run examples/email_assistant.yml # runs a non‑trivial workflow that reads an inbox, extracts action items, and drafts reply emails
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Works after you add credentials — the setup agent will ask you for them.
mkdir -p ~/.claude/skills/agentify && curl -fsSL https://workflowstacks.com/api/skills/agentify/claude-skill -o ~/.claude/skills/agentify/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Works after you add credentials — the setup agent will ask you for them.
mkdir -p ~/.claude/skills/agentify && curl -fsSL https://workflowstacks.com/api/skills/agentify/claude-skill -o ~/.claude/skills/agentify/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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