Agent skill

Lindy Core Workflow A

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Build and configure multi-step Lindy AI agent workflows. An agent skill from jeremylongshore/tons-of-skills-marketplace.

MITAuto-check passedKnowledge Management

Install Lindy Core Workflow A

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lindy-core-workflow-a -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace lindy-core-workflow-a --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/lindy-core-workflow-a .claude/skills/lindy-core-workflow-a && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
lindy-core-workflow-a
GitHub stars
2.8k
Token cost
~1.7k tokens
SKILL.md length
673 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Build and configure multi-step Lindy AI agent workflows. An agent skill from jeremylongshore/tons-of-skills-marketplace.

  • Works in 7 steps: Define Agent Specification → Create the Agent → Configure the Prompt → …
  • Creating agents with triggers
  • SKILL.md covers Overview, Prerequisites, Instructions and Trigger Types Reference, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Lindy Core Workflow A is an agent skill from jeremylongshore/tons-of-skills-marketplace. 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".

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/implementation-guide.md`). Compatibility notes: Designed for Claude Code

It sits in Knowledge Management, covering Knowledge bases. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Creating agents with triggers
  • Knowledge bases
  • With phrases like create lindy agent
  • Build lindy agent

Example prompts

  • “create lindy agent”
  • “build lindy agent”
  • “lindy agent workflow”
  • “/lindy-core-workflow-a”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(curl:*)

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Define Agent Specification
  2. Create the Agent
  3. Configure the Prompt
  4. Add Conditions (Branching Logic)
  5. Configure Actions
  6. Add Knowledge Base (Optional)
  7. Test the Agent

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash(curl:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • docs.lindy.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Lindy Core Workflow A loads about 1.7k tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 673 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 673 words, ~1,738 tokens.

Download SKILL.mdSave it as .claude/skills/lindy-core-workflow-a/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
lindy-core-workflow-a
description
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".
allowed-tools
Read, Write, Edit, Bash(curl:*)
compatibility
Designed for Claude Code
version
1.20.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, lindy, workflow

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
  • 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

  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 dragging arrows between steps
Step 3: Configure the Prompt

Open Settings > Prompt. Structure it with clear sections:

## Identity
You are a customer support classifier and responder for [Company].

## Instructions
1. Read the incoming email carefully
2. Classify into: billing, technical, or general
3. Search the knowledge base for relevant answers
4. Draft a professional response using the KB results
5. If no KB match found, escalate to human

## Constraints
- Never promise refunds or credits without human approval
- Keep responses under 200 words
- Always include ticket reference number

Prompt best practices (from Lindy docs):

  • Use action-oriented language (imperatives)
  • Break complex logic into numbered steps
  • Include few-shot examples for consistent formatting
  • Add constraints to prevent unwanted behavior
Step 4: Add Conditions (Branching Logic)
  1. Click "+" > Condition
  2. Write natural language condition: "Go down this path if the email is about billing"
  3. Add multiple branches for different classifications
  4. Enable "Force the agent to select a branch" for deterministic routing
Step 5: Configure Actions

For each action, set field modes:

Auto mode — Agent infers the value from all previous step data:

Best for: predictable mappings where field names align

AI Prompt mode — Give natural language instructions:

Summarize the email in 2 sentences, then include the classification.
Reference: {{email_received.body}}

Set Manually mode — Exact value, no AI:

Channel: #support-triage
Step 6: Add Knowledge Base (Optional)
  1. Go to Settings > Knowledge Base
  2. Add sources: PDF, DOCX, Google Drive, Notion, websites
  3. Configure search:
    • Max Results: 4 (default) to 10
    • Search Fuzziness: 0 (keyword) to 100 (semantic, recommended)
  4. Agent auto-searches KB when relevant to the task
Step 7: Test the Agent
  1. Use the Test button in the workflow editor
  2. Provide sample input matching your trigger type
  3. Review each step's output in the task detail view
  4. Iterate on prompt and action configuration
Show full SKILL.md (300 more words)Show less

Trigger Types Reference

TriggerUse CaseConfiguration
Webhook ReceivedExternal API callsURL + secret key
Email ReceivedInbox automationGmail/Outlook + label filters
ScheduleRecurring tasksCron-style: daily, weekly, custom
Chat MessageInteractive botLindy Chat or Embed widget
Slack MessageTeam automationChannel + keyword filters
Agent MessageMulti-agent delegationReceives from other Lindies
Calendar EventMeeting automationMinutes offset (-30 = 30 min before)
Form SubmissionLead captureConnected form integration

Action Categories

CategoryActions
EmailSend Email, Draft Reply, Search Inbox, Add Label
SlackSend Channel Message, Send DM, Thread Reply
SheetsUpdate Spreadsheet, Get Document
CalendarCreate Event, Reschedule, Cancel
KnowledgeSearch Knowledge Base, Resync KB
CodeRun Code (Python/JS in E2B sandbox)
WebHTTP Request, Web Search, Website Crawler
MemoryRead/Create/Update/Delete Memory
PhoneMake Call, Transfer Call, End Call
AgentAgent Send Message (delegation)

Error Handling

ErrorCauseSolution
"No trigger configured"Agent has no triggerAdd at least one trigger node
Action fails silentlyWrong field modeSwitch to AI Prompt or Set Manually
KB returns no resultsFuzziness too lowIncrease to 100 (semantic search)
Condition always picks same pathAmbiguous promptMake conditions more specific
Agent loops indefinitelyNo exit conditionAdd measurable exit criteria

Output

Produce an agent specification with a named trigger, explicit identity and constraints, ordered actions, safe failure behavior, and one acceptance fixture that proves the agent performs the intended task without unintended side work.

Examples

Create a lead-routing agent triggered by a tagged form submission. It validates the required fields, assigns the record only when the stated routing rule matches, and otherwise records a review task; a fixture for each branch proves the constraints are applied before any connected-system action.

Resources

Next Steps

Proceed to lindy-core-workflow-b for triggers, automation, and multi-agent delegation.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/lindy-core-workflow-a of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/implementation-guide.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Lindy Core Workflow A next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Lindy Core Workflow A compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Lindy Core Workflow A this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.7kAutomated safety check: PassMIT
Knowledge Searchdataelement/bisheng12k—~1.1kAutomated safety check: PassApache-2.0
Capture Conversationoutline/outline41k—~474Automated safety check: PassCustom licence
Find And Citeoutline/outline41k—~537Automated safety check: PassCustom licence
Xhs Virtual Productchenjin-cmd/xhs-virtual-product729—~862Automated safety check: PassMIT
OpenkbVectifyAI/OpenKB4.8k1 repos~2kAutomated safety check: WarnApache-2.0

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Questions about Lindy Core Workflow A

What does Lindy Core Workflow A do?

Build and configure multi-step Lindy AI agent workflows. An agent skill from jeremylongshore/tons-of-skills-marketplace. Lindy Core Workflow A is an agent skill from jeremylongshore/tons-of-skills-marketplace. Build and configure multi-step Lindy AI agent workflows.

When should I use Lindy Core Workflow A?

Lindy Core Workflow A fits situations like: creating agents with triggers; knowledge bases; with phrases like create lindy agent; build lindy agent.

How do I install Lindy Core Workflow A in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lindy-core-workflow-a -a claude-code`. Or copy the skill folder (skills/.curated/lindy-core-workflow-a in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/lindy-core-workflow-a in your project. Claude Code loads it when a task matches its description.

How do I install Lindy Core Workflow A in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lindy-core-workflow-a -a codex`. Or copy the skill folder (skills/.curated/lindy-core-workflow-a in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/lindy-core-workflow-a in your project. Codex loads it when a task matches its description.

Can I use Lindy Core Workflow A in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lindy-core-workflow-a -a cursor` (or -a -a, -a or -a for the others). To copy it by hand, put the folder in .cursor/skills/lindy-core-workflow-a, .gemini/skills/lindy-core-workflow-a, .github/skills/lindy-core-workflow-a and .opencode/skills/lindy-core-workflow-a in your project.

What does Lindy Core Workflow A need to run?

SKILL.md names no scripts, command-line tools or credentials: Lindy Core Workflow A is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(curl:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Lindy Core Workflow A access the network?

SKILL.md names 1 domain. As links in the text: docs.lindy.ai. This is read from the text; nothing was executed.

Is Lindy Core Workflow A safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Lindy Core Workflow A use?

Lindy Core Workflow A is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Lindy Core Workflow A use?

About 1.7k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 791 tokens, read only when the agent opens those files.

What are the alternatives to Lindy Core Workflow A?

Skills that share tags, products or a category with Lindy Core Workflow A: Knowledge Search (dataelement/bisheng, 12k stars), Capture Conversation (outline/outline, 41k stars), Find And Cite (outline/outline, 41k stars) and Xhs Virtual Product (chenjin-cmd/xhs-virtual-product, 729 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lindy Core Workflow A?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.