Agent skill · Workflow & Productivity

lindy-core-workflow-a

Core Lindy workflow for creating and configuring AI agents. Use when building new agents, defining agent behaviors, or setting up agent capabilities. Trigger with phrases like "create lindy agent", "build lindy agent", "lindy agent workflow", "configure lindy agent".

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill lindy-core-workflow-a-jeremylongshore-claude-code-plugins --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Version: 1.0.0
Declared author: Jeremy Longshore <jeremy@intentsolutions.io>
Allowed tools: ReadWriteEdit
Path: skills/agent/lindy-core-workflow-a-jeremylongshore-claude-code-plugins/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Lindy Core Workflow A: Agent Creation ## Overview Complete workflow for creating, configuring, and deploying Lindy AI agents. ## Prerequisites - Completed `lindy-install-auth` setup - Understanding of agent use case - Clear instructions/persona defined ## Instructions ### Step 1: Define Agent Specification ```typescript interface AgentSpec { name: string; description: string; instructions: string; tools: string[]; model?: string; temperature?: number; } const agentSpec: AgentSpec = { name: 'Customer Support Agent', description: 'Handles customer inquiries and support tickets', instructions: ` You are a helpful customer support agent. - Be polite and professional - Ask clarifying questions when needed - Escalate complex issues to human support - Always confirm resolution with the customer `, tools: ['email', 'calendar', 'knowledge-base'], model: 'gpt-4', temperature: 0.7, }; ``` ### Step 2: Create the Agent ```typescript import { Lindy } from '@lindy-ai/sdk'; const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY }); async function createAgent(spec: AgentSpec) { const agent = await lindy.agents.create({ name: spec.name, description: spec.description, instructions: spec.instru

What's inside
Steps it walks through
  1. Overview
  2. Prerequisites
  3. Instructions
  4. Step 1: Define Agent Specification
  5. Step 2: Create the Agent
  6. Step 3: Configure Agent Tools
  7. Step 4: Test the Agent
  8. Output
  9. Error Handling
  10. Examples
  11. Complete Agent Creation Flow
  12. Resources
  13. Next Steps
Ships with 1 file
  • metadata.json
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About this skill
What does the lindy-core-workflow-a skill do?

Core Lindy workflow for creating and configuring AI agents. Use when building new agents, defining agent behaviors, or setting up agent capabilities. Trigger with phrases like "create lindy agent", "build lindy agent", "lindy agent workflow", "configure lindy agent".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill lindy-core-workflow-a-jeremylongshore-claude-code-plugins --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going