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Appsmith

Organization
TerminalSkills
appsmith

Build internal tools, admin panels, and dashboards with Appsmith. Use when a user asks to create CRUD interfaces, connect to databases or APIs with drag-and-drop widgets, write JSObjects for business logic, or self-host Appsmith with Docker or Kubernetes.

Overview

PublisherTerminalSkills
Repositoryskills
Skill nameappsmith
Stars
155
Forks
21
Bundled files
1
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by TerminalSkills on GitHub. Read the source before you install it.

Installation

Install the Appsmith AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/TerminalSkills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/appsmith .claude/skills/appsmith
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Appsmith in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Appsmith on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Appsmith is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Appsmith — Open-Source Internal Tool Builder

Overview

You are an expert in Appsmith, the open-source low-code platform for building internal tools, admin panels, and dashboards. You help developers connect to databases and APIs, build CRUD interfaces with drag-and-drop widgets, write custom JavaScript, and self-host the platform for full data control.

Instructions

Data Queries

javascript
// PostgreSQL query with bindings
// Appsmith uses {{ }} for dynamic bindings to widget values
SELECT * FROM orders
WHERE status = {{ StatusDropdown.selectedOptionValue }}
  AND created_at BETWEEN {{ DateRange.startDate }} AND {{ DateRange.endDate }}
  AND ({{ SearchInput.text }} = '' OR customer_email ILIKE '%' || {{ SearchInput.text }} || '%')
ORDER BY created_at DESC
LIMIT 50 OFFSET {{ (Table1.pageNo - 1) * 50 }}

// REST API datasource
// URL: https://api.example.com/users/{{ Table1.selectedRow.id }}
// Method: PUT
// Body: {
//   "plan": {{ PlanSelect.selectedOptionValue }},
//   "note": {{ NoteInput.text }}
// }

JavaScript Objects (JSObjects)

javascript
// JSObject — reusable business logic
export default {
  // Transform query data for charts
  getRevenueByMonth() {
    return OrdersQuery.data.reduce((acc, order) => {
      const month = moment(order.created_at).format("YYYY-MM");
      acc[month] = (acc[month] || 0) + order.amount;
      return acc;
    }, {});
  },

  // Multi-step workflow
  async processRefund() {
    const order = Table1.selectedRow;
    if (!order) {
      showAlert("Select an order first", "warning");
      return;
    }

    const confirmed = await showModal("ConfirmRefundModal");
    if (!confirmed) return;

    // Step 1: Create refund in Stripe
    await StripeRefundAPI.run({ chargeId: order.stripe_charge_id });

    // Step 2: Update order status
    await UpdateOrderQuery.run({
      orderId: order.id,
      status: "refunded",
    });

    // Step 3: Send notification
    await SlackNotifyAPI.run({
      message: `Refund processed for order #${order.id} ($${order.amount})`,
    });

    showAlert("Refund processed successfully", "success");
    await OrdersQuery.run(); // Refresh table
  },

  // Form validation
  validateForm() {
    const errors = {};
    if (!EmailInput.text?.includes("@")) errors.email = "Invalid email";
    if (AmountInput.text <= 0) errors.amount = "Amount must be positive";
    if (!ReasonSelect.selectedOptionValue) errors.reason = "Select a reason";
    return errors;
  },
};

Deployment

bash
# Self-hosted with Docker (recommended)
curl -L https://bit.ly/docker-compose-appsmith -o docker-compose.yml
docker compose up -d
# Dashboard at http://localhost:80

# Kubernetes with Helm
helm repo add appsmith https://helm.appsmith.com
helm install appsmith appsmith/appsmith -n appsmith --create-namespace

Git Sync

bash
# Connect Appsmith to Git for version control
# Settings → Git Connection → Connect to Git Repository
# Supports: GitHub, GitLab, Bitbucket

# Workflow:
# 1. Develop on feature branch
# 2. Commit changes from Appsmith UI
# 3. Create PR for review
# 4. Merge → auto-deploy to production instance

Examples

Example 1: User asks to set up appsmith

User: "Help me set up appsmith for my project"

The agent should:

  1. Check system requirements and prerequisites
  2. Install or configure appsmith
  3. Set up initial project structure
  4. Verify the setup works correctly

Example 2: User asks to build a feature with appsmith

User: "Create a dashboard using appsmith"

The agent should:

  1. Scaffold the component or configuration
  2. Connect to the appropriate data source
  3. Implement the requested feature
  4. Test and validate the output

Guidelines

  1. Self-host for security — Appsmith is open-source; self-host on your infrastructure when data can't leave your network
  2. JSObjects for logic — Keep business logic in JSObjects, not in widget event handlers; easier to test and reuse
  3. Git sync for teams — Connect to Git for version control; review app changes in PRs like code
  4. Prepared statements — Appsmith uses prepared statements by default for SQL; prevents SQL injection
  5. Environments — Use Appsmith's environment variables for dev/staging/prod database URLs
  6. Granular permissions — Use role-based access control; limit who can view/edit/run destructive queries
  7. Reusable widgets — Extract common patterns (search + table + pagination) into reusable templates
  8. Audit trail — Enable audit logging for compliance; track who did what and when

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Appsmith AI skill do?

Build internal tools, admin panels, and dashboards with Appsmith. Use when a user asks to create CRUD interfaces, connect to databases or APIs with drag-and-drop widgets, write JSObjects for business logic, or self-host Appsmith with Docker or Kubernetes.

Why use Appsmith on TypingMind?

Because you install it once and use it with any model. Appsmith is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Appsmith in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TerminalSkills/skills/tree/main/skills/appsmith. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Appsmith?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Appsmith?

As many as you like. As long as a model supports skills, you can use Appsmith with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Appsmith AI skill free?

Yes. It is published on GitHub by TerminalSkills under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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