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letsclarify

Collect structured human input — approvals, decisions, reviews, data — via web forms. Create a form with a JSON schema, send unique URLs to humans, poll for results. Use when your workflow needs a human in the loop before proceeding.

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安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 letsclarify 技能。 若已安装,则直接安装 letsclarify 技能。

Overview

Skill Key
heisee/letsclarify
Author
heisee
Source Repo
openclaw/skills
Version
-
Source Path
skills/heisee/letsclarify
Latest Commit SHA
3231fce34b10538a1bd3bcd261b3159829851a6c

Extracted Content

SKILL.md excerpt

# Let's Clarify Skill

Let's Clarify is a Human-in-the-Loop infrastructure service. Use it when your workflow needs structured human input — approvals, decisions, data collection, document review — before proceeding.

**Base URL:** `https://letsclarify.ai`

**Integration:** This skill provides both an MCP server (preferred for MCP-compatible agents) and a REST API. See [MCP Server](#mcp-server-remote) below.

## Quick Start

### 0. Register (and Delete) an API Key

```bash
curl -X POST https://letsclarify.ai/api/v1/register \
  -H "Content-Type: application/json" \
  -d '{"name": "My Agent", "email": "agent@example.com"}'
```

**Response (201):**
```json
{
  "api_key": "lc_...",
  "key_prefix": "lc_xxxxx",
  "warning": "Store securely. Shown only once."
}
```

Store the `api_key` value securely. It is shown only once. Include it in all subsequent API calls as `Authorization: Bearer lc_...`.

**Error (422):** Validation errors (e.g., missing name/email) return:
```json
{ "error": "validation_failed", "message": "..." }
```

**Delete your API key:**
```bash
curl -X DELETE https://letsclarify.ai/api/v1/register \
  -H "Authorization: Bearer lc_..."
```

**Response (200):**
```json
{ "deleted": true }
```

### 1. Create a Form

```bash
curl -X POST https://letsclarify.ai/api/v1/forms \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer lc_..." \
  -d '{
    "title": "Approve Budget Increase",
    "context_markdown": "## Q3 Budget\nPlease review the proposed 15% increase.",
    "recipient_count": 3,
    "retention_days": 7,
    "webhook_url": "https://your-agent.example.com/webhook",
    "schema": [
      {
        "id": "decision",
        "type": "radio",
        "label": "Your decision",
        "required": true,
        "options": [
          { "value": "approve", "label": "Approve" },
          { "value": "reject", "label": "Reject" }
        ]
      },
      {
        "id": "notes",
        "type": "textarea",
        "label": "Additional notes",...

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