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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.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install heisee/letsclarifyInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
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 below.
curl -X POST https://letsclarify.ai/api/v1/register \
-H "Content-Type: application/json" \
-d '{"name": "My Agent", "email": "agent@example.com"}'
Response (201):
{
"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:
{ "error": "validation_failed", "message": "..." }
Delete your API key:
curl -X DELETE https://letsclarify.ai/api/v1/register \
-H "Authorization: Bearer lc_..."
Response (200):
{ "deleted": true }
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",...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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",...基于 Claude Code 的桌面 AI 工作力平台 — 支持飞书/QQ 远程调度、技能创建、定时任务。OpenClaw 的桌面实现,零代码养好你的 AI 🦞 Desktop AI workforce platform built on Claude Code. Feishu/QQ bot integration, skill c...
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