lindy-core-workflow-a

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Build and configure multi-step Lindy AI agent workflows. Use when creating agents with triggers, actions, conditions, knowledge bases, or agent steps. Trigger with phrases like "create lindy agent", "build lindy agent", "lindy agent workflow", "configure lindy agent", "lindy workflow".

AI & Automation 2,266 stars 315 forks Updated today MIT

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Skill Content

# Lindy Core Workflow A: Agent Creation ## Overview Complete workflow for creating, configuring, and testing Lindy AI agents. Agents consist of four components: **Prompt** (behavioral instructions), **Model** (AI engine), **Skills** (available actions), and **Exit Conditions** (completion criteria). ## Prerequisites - Lindy account at https://app.lindy.ai - Use case defined (support bot, email triage, data processor, etc.) - Required integrations identified (Slack, Gmail, Sheets, etc.) ## Instructions ### Step 1: Define Agent Specification Before building, document: - **Purpose**: What the agent does (one sentence) - **Trigger**: What wakes it up (webhook, email, schedule, chat, etc.) - **Actions**: What it does (send email, update sheet, post to Slack, etc.) - **Model**: GPT-4 (smart, expensive), Claude Sonnet (balanced), Gemini Flash (fast, cheap) ### Step 2: Create the Agent **Option A — Natural Language (recommended)**: 1. Click **New Agent** at https://app.lindy.ai 2. Describe your agent in plain English: ``` When a customer emails support@company.com, classify the email as billing/technical/general, draft a response using our knowledge base, and post the classification to #support-triage in Slack ``` 3. Agent Builder auto-generates trigger + action nodes **Option B — Manual Build**: 1. Click **New Agent** > **Start from scratch** 2. Add trigger: Click **"+"** > Select trigger type 3. Add actions: Click **"+"** > Search for action 4. Connect nodes by...

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Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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