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dataforseo-content-analysis-api

📁 leonardo-picciani/agent-skills 📅 13 days ago
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总安装量
1
周安装量
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安装命令
npx skills add https://github.com/leonardo-picciani/agent-skills --skill dataforseo-content-analysis-api

Agent 安装分布

cline 1
opencode 1
cursor 1
claude-code 1

Skill 文档

DataForSEO Content Analysis 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

  • “analyze sentiment”, “review sentiment”, “brand perception”
  • “find trending phrases”, “phrase trends”, “category trends”
  • “content landscape analysis”, “topic clusters”, “insights dashboard”

Integration Contract (Language-Agnostic)

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

Live-first Endpoints

  • Many Content Analysis endpoints are Live-first.

Group Notes

  • Use official Locations/Languages/Categories reference endpoints to avoid invalid inputs.

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
  3. 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
  4. 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
  5. For task-based endpoints:
    • Store tasks[].id
    • Poll tasks_ready then fetch results with task_get (or use postback_url/pingback_url if supported)
  6. 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)

Core endpoints:

Reference lists:

Business & Product Use Cases

  • Voice-of-customer insights: turn public text into product feedback themes.
  • Track sentiment over time for brand/reputation and campaign impact.
  • Identify emerging topics to inform positioning and content strategy.
  • Competitive positioning dashboards using category and phrase trends.
  • Support CX teams with issue detection (spikes in negative themes).
  • Create leadership-ready insight memos (what changed and why it matters).

Examples (User Prompts)

  • “If you don’t have the skill installed, install dataforseo-content-analysis-api and then continue.”
  • “Install the Content Analysis skill and summarize sentiment for our brand vs competitors.”
  • “Identify trending phrases in our category and propose 10 content angles.”
  • “Build a ‘voice of customer’ brief: top themes, sentiment, and emerging issues.”
  • “Track category trends monthly and alert me to new topics gaining traction.”
  • “Turn these findings into a product insights memo for leadership.”
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