# letsclarify

> letsclarify — heisee-letsclarify. Use this tool when you need to collect and organize human input in a structured format, such as approvals, decisions, or reviews, via customizable web forms. It solves problems related to data collection, decision-making, and workflow management by providing a streamlined interface for users to provide input. The tool accepts user submissions as input and outputs organized, actionable data.

Canonical page: https://skillsregistry.net/skills/heisee-letsclarify  
JSON: https://api.skillsregistry.net/v1/skills/heisee-letsclarify

## Description

Collect structured human input — approvals, decisions, reviews, data — via web forms.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/heisee-letsclarify)

## 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": "heisee-letsclarify"
    }
  }
}
```

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