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thinkforcethinkforce 搜索

Agent Skill

thinkforce 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:thinkforce(thinkforce 搜索)
来源仓库:https://github.com/ade5791/thinkforce
安装命令:
openclaw skills install thinkforce
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install thinkforce

简介

通过 REST API 将任务分派给您的 ThinkForce AI 代理,并轻松轮询结果,无需服务器设置或复杂的配置。

SKILL.md

ThinkForce Skill

Dispatch tasks to your ThinkForce AI agent team at app.thinkforce.ai and poll for results — all via the REST API. No server setup needed.


Getting Your API Key

  1. Go to app.thinkforce.ai and sign up / log in.
  2. Open SettingsThinkForce API.
  3. Click + Generate API Key — copy and save it.

Use your key as the X-TF-API-Key header on every request.


Quick Start

Step 1 — Get Your Company ID

Your API key automatically identifies your company:

GET https://app.thinkforce.ai/api/companies
X-TF-API-Key: tf_your_key_here

Response:

{
  "companyId": "your-company-id",
  "name": "Acme Corp",
  "status": "active",
  "agentCount": 4
}

Step 2 — List Your Agents

POST https://app.thinkforce.ai/api/agents
X-TF-API-Key: tf_your_key_here
Content-Type: application/json

{ "action": "list", "companyId": "your-company-id" }

Response:

[
  { "id": "abc123", "agentName": "Acme CEO", "agentRole": "CEO" },
  { "id": "def456", "agentName": "Dev", "agentRole": "Developer" }
]

Step 3 — Dispatch a Task

POST https://app.thinkforce.ai/api/agent-task
X-TF-API-Key: tf_your_key_here
Content-Type: application/json

{
  "companyID": "your-company-id",
  "targetAgentId": "abc123",
  "task": "Research the top 5 competitor apps and summarize their pricing."
}

Response:

{
  "taskId": "task-1773947855985-abc12",
  "status": "running"
}

Step 4 — Poll for Result

GET https://app.thinkforce.ai/api/agent-task?taskId=<taskId>&companyId=<companyId>
X-TF-API-Key: tf_your_key_here

Poll every 5–8 seconds. Most tasks complete in 15–90 seconds.

Completed response:

{
  "taskId": "task-1773947855985-abc12",
  "status": "complete",
  "result": "Here are the top 5 competitors..."
}

Full JavaScript Example

const API_KEY = 'tf_your_key_here';
const BASE = 'https://app.thinkforce.ai/api';

// 1. Get company
const co = await fetch(`${BASE}/companies`, {
  headers: { 'X-TF-API-Key': API_KEY }
}).then(r => r.json());

const companyID = co.companyId;

// 2. List agents to find the CEO
const agents = await fetch(`${BASE}/agents`, {
  method: 'POST',
  headers: { 'Content-Type': 'application/json', 'X-TF-API-Key': API_KEY },
  body: JSON.stringify({ action: 'list', companyId: companyID }),
}).then(r => r.json());

const ceo = agents.find(a => a.agentRole === 'CEO');

// 3. Dispatch task
const { taskId } = await fetch(`${BASE}/agent-task`, {
  method: 'POST',
  headers: { 'Content-Type': 'application/json', 'X-TF-API-Key': API_KEY },
  body: JSON.stringify({
    companyID,
    targetAgentId: ceo.id,
    task: 'Write a 30-day growth plan.',
  }),
}).then(r => r.json());

// 4. Poll for result
let result;
while (!result) {
  await new Promise(r => setTimeout(r, 6000));
  const data = await fetch(
    `${BASE}/agent-task?taskId=${taskId}&companyId=${companyID}`,
    { headers: { 'X-TF-API-Key': API_KEY } }
  ).then(r => r.json());

  if (data.result) result = data.result;
  if (data.status === 'error') throw new Error(data.error);
}

console.log(result);

Missions API

Missions are multi-step orchestrated workflows — create a mission, break it into subtasks, assign agents, and auto-execute the whole thing.

Create a Mission

POST https://app.thinkforce.ai/api/missions
X-TF-API-Key: tf_your_key_here
Content-Type: application/json

{
  "companyId": "your-company-id",
  "title": "Launch Q2 Growth Campaign",
  "description": "Research competitors, draft content plan, and build outreach strategy",
  "priority": "high",
  "createdBy": "user-id-optional"
}

Response:

{
  "id": "mission-abc123",
  "status": "planning",
  "title": "Launch Q2 Growth Campaign",
  ...
}

Get a Mission (with subtasks)

GET https://app.thinkforce.ai/api/missions/{missionId}?companyId=your-company-id
X-TF-API-Key: tf_your_key_here

Returns { mission, subtasks }.

List All Missions

GET https://app.thinkforce.ai/api/missions?companyId=your-company-id
X-TF-API-Key: tf_your_key_here

Update a Mission

PATCH https://app.thinkforce.ai/api/missions/{missionId}
X-TF-API-Key: tf_your_key_here
Content-Type: application/json

{
  "companyId": "your-company-id",
  "status": "active"
}

Status values: planningactivecompleted | cancelled. Completing (status: "completed") triggers a mission completion email + Slack notification automatically.

Auto-Decompose into Subtasks

Let AI break the mission into 5–9 actionable subtasks automatically:

POST https://app.thinkforce.ai/api/missions/{missionId}/decompose
X-TF-API-Key: tf_your_key_here
Content-Type: application/json

{
  "title": "Launch Q2 Growth Campaign",
  "description": "Research competitors, draft content plan, and build outreach strategy"
}

Response:

{
  "subtasks": [
    { "title": "Research top 5 competitors", "workstationKey": "researching" },
    { "title": "Draft content calendar", "workstationKey": "working" },
    ...
  ]
}

Add a Subtask

POST https://app.thinkforce.ai/api/missions/{missionId}/subtasks
X-TF-API-Key: tf_your_key_here
Content-Type: application/json

{
  "companyId": "your-company-id",
  "title": "Research target audience",
  "workstationKey": "researching",
  "assignedAgentId": "agent-id-optional",
  "runInstructions": "Focus on 18-35 demographic in US markets"
}

workstationKey options: working | researching | syncing | error

Update / Delete a Subtask

PATCH https://app.thinkforce.ai/api/missions/{missionId}/subtasks/{subtaskId}
Content-Type: application/json

{
  "companyId": "your-company-id",
  "status": "done",
  "output": "Research complete. Key finding: ..."
}

For delete: DELETE same URL with companyId in body/query, or POST with { "action": "delete" }.

Run a Subtask (execute with assigned agent)

POST https://app.thinkforce.ai/api/missions/{missionId}/subtasks/{subtaskId}/run
X-TF-API-Key: tf_your_key_here
Content-Type: application/json

{
  "companyId": "your-company-id",
  "initiatedByUserId": "user-id-optional"
}

The subtask runs via the assigned agent's agent-task pipeline. Check mission status after to see output.

Auto-Execute the Entire Mission

Runs all subtasks sequentially with assigned agents:

POST https://app.thinkforce.ai/api/missions/{missionId}/auto-execute
X-TF-API-Key: tf_your_key_here
Content-Type: application/json

{
  "companyId": "your-company-id"
}

Publish Mission Report (PDF)

After a mission reaches completed, generate and publish a PDF report:

POST https://app.thinkforce.ai/api/publish-mission
X-TF-API-Key: tf_your_key_here
Content-Type: application/json

{
  "companyId": "your-company-id",
  "missionId": "mission-abc123",
  "userId": "user-id-optional"
}

Returns { publishedPdfUrl: "https://storage.googleapis.com/..." }.


Full Mission Workflow (JS Example)

const BASE = 'https://app.thinkforce.ai/api';
const HEADERS = { 'Content-Type': 'application/json', 'X-TF-API-Key': 'tf_your_key_here' };
const companyId = 'your-company-id';

// 1. Create mission
const { id: missionId } = await fetch(`${BASE}/missions`, {
  method: 'POST', headers: HEADERS,
  body: JSON.stringify({ companyId, title: 'Q2 Campaign', description: 'Research + content plan', priority: 'high' })
}).then(r => r.json());

// 2. Auto-decompose into subtasks
const { subtasks } = await fetch(`${BASE}/missions/${missionId}/decompose`, {
  method: 'POST', headers: HEADERS,
  body: JSON.stringify({ title: 'Q2 Campaign', description: 'Research + content plan' })
}).then(r => r.json());

// 3. Add each subtask (assign agents as needed)
for (const st of subtasks) {
  await fetch(`${BASE}/missions/${missionId}/subtasks`, {
    method: 'POST', headers: HEADERS,
    body: JSON.stringify({ companyId, ...st, assignedAgentId: 'agent-id' })
  });
}

// 4. Auto-execute all subtasks
await fetch(`${BASE}/missions/${missionId}/auto-execute`, {
  method: 'POST', headers: HEADERS,
  body: JSON.stringify({ companyId })
});

// 5. Mark complete + publish PDF
await fetch(`${BASE}/missions/${missionId}`, {
  method: 'PATCH', headers: HEADERS,
  body: JSON.stringify({ companyId, status: 'completed' })
});
const { publishedPdfUrl } = await fetch(`${BASE}/publish-mission`, {
  method: 'POST', headers: HEADERS,
  body: JSON.stringify({ companyId, missionId })
}).then(r => r.json());

Notes

  • CEO agent is always created first during onboarding and orchestrates your team automatically.
  • Model routing: If your account is linked to OpenAI Codex (ChatGPT Pro OAuth), tasks route through gpt-5.4 automatically.
  • Tools available: Google Search, Website Fetch, Memory Manager, Web Browser, and more — enabled per agent.
  • API key is per-company: One key covers all agents. Rotate anytime from Settings.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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能力 1

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能力 3

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能力 4

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能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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