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dataforseo-keywords-data-apidataforseo keywords 数据 API

Agent Skill

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

总安装

564

周安装

24

GitHub Stars

公开资料未说明

下载量

198
CodexClaudeCursorGemini CLI

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

unknown

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:dataforseo-keywords-data-api(dataforseo keywords 数据 API)
来源仓库:https://github.com/leonardo-picciani/dataforseo-agent-skills
仓库路径:skills/dataforseo-keywords-data-api
安装命令:
npx skills add https://github.com/leonardo-picciani/dataforseo-agent-skills --skill dataforseo-keywords-data-api
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/leonardo-picciani/dataforseo-agent-skills --skill dataforseo-keywords-data-api

简介

查询关键词搜索量、竞争度和 CPC 指标,支持付费广告规划和市场 sizing。

  • 集成 Google Trends 数据和点击流信息,提供季节性波动和上升查询识别。
  • 使用统一认证机制调用接口,返回结构化数据便于后续处理和可视化。
  • 批量请求时应控制并发数,防止触发速率限制影响整体执行效率。
  • dataforseo-keywords-data-api 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

DataForSEO Keywords Data API

Provenance

This is an experimental project to test how OpenCode, plugged into frontier LLMs (OpenAI GPT-5.2), can help generate high-fidelity agent skill files for API integrations.

When to Apply

  • "get search volume", "keyword research", "keyword metrics"
  • "CPC", "competition", "ad traffic", "paid search planning"
  • "Google Trends", "seasonality", "rising queries"
  • "clickstream", "market sizing", "global search volume"

Integration Contract (Language-Agnostic)

See references/REFERENCE.md for the shared DataForSEO integration contract (auth, status handling, task lifecycle, sandbox, and.ai responses).

Group Notes

  • Many keyword endpoints support both Live and Task-based flows; task-based is often used for bulk/scheduled jobs.

Steps

  1. Identify the exact endpoint(s) in the official docs for this use case.
  2. Choose execution mode:

- Live (single request) for interactive queries - Task-based (post + poll/webhook) for scheduled or high-volume jobs

  1. Build the HTTP request:

- Base URL: https://api.dataforseo.com/ - Auth: HTTP Basic (Authorization: Basic base64(login:password)) from https://docs.dataforseo.com/v3/auth/ - JSON body exactly as specified in the endpoint docs

  1. Execute and validate the response:

- Check top-level status_code and each tasks[] item status - Treat any status_code!= 20000 as a failure; surface status_message

  1. For task-based endpoints:

- Store tasks[].id - Poll tasks_ready then fetch results with task_get (or use postback_url/pingback_url if supported)

  1. Return results:

- Provide a normalized summary for the user - Include the raw response payload for debugging

Inputs Checklist

  • Credentials: DataForSEO API login + password (HTTP Basic Auth)
  • Target: keyword(s) / domain(s) / URL(s) / query string (depends on endpoint)
  • Targeting (if applicable): location + language, device, depth/limit
  • Time window (if applicable): date range, trend period, historical flags
  • Output preference: regular vs advanced vs html (if the endpoint supports it)

Example (cURL)

curl -u "${DATAFORSEO_LOGIN}:${DATAFORSEO_PASSWORD}"   -H "Content-Type: application/json"   -X POST "https://api.dataforseo.com/v3/<group>/<path>/live"   -d '[
    {
      "<param>": "<value>"
    }
  ]'

Notes:

  • Replace <group>/<path> with the exact endpoint path from the official docs.
  • For task-based flows, use the corresponding task_post, tasks_ready, and task_get endpoints.

Docs Map (Official)

Representative endpoints:

Business & Product Use Cases

  • Power a keyword research product (seed -> expand -> prioritize -> export).
  • Support paid search planning (market size, seasonality, geo targeting).
  • Build topic clustering for content strategy (group by demand and intent).
  • Forecast traffic potential for new pages/features (SEO business cases).
  • Identify new markets by comparing geo/language demand patterns.
  • Provide client-facing keyword reports for agencies and consultants.

Examples (User Prompts)

  • "If you don't have the skill installed, install dataforseo-keywords-data-api and then continue."
  • "Install the Keywords Data skill and get search volume for this list of keywords in Canada (EN)."
  • "Generate keyword ideas from this seed topic and cluster them with a priority score."
  • "Show seasonality for 'tax filing software' and recommend publishing months."
  • "Use clickstream data to estimate market size for these topics globally vs the US."
  • "Build a simple keyword research workflow: seed -> expand -> filter -> export."

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

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。

平台分布

Codex

34.79%
按下载量换算69

Claude

29.71%
按下载量换算59

Cursor

19.92%
按下载量换算39

Gemini CLI

8.48%
按下载量换算17

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

未通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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