# Tally

> Use this tool when you need to create custom forms efficiently, as it solves the problem of tedious form building by allowing users to generate forms through natural language inputs, with outputs being fully-built forms, ideal for streamlining workflow and data collection processes. It takes voice commands or text inputs and produces ready-to-use forms. This tool is perfect for users who want to simplify form creation without extensive technical knowledge.

Canonical page: https://skillsregistry.net/skills/tally  
JSON: https://api.skillsregistry.net/v1/skills/tally

## Description

Build Tally forms using natural language through AI assistants like Claude. Instead of clicking through form builders, you can simply tell Claude what you want and it will create your forms for you.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tally)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tally"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tally` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tally/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt