Manage Apple Reminders via the `remindctl` CLI on macOS (list, add, edit, complete, delete)....
npx skills add leonardo-picciani/dataforseo-agent-skills --skill "dataforseo-domain-analytics-api"
Install specific skill from multi-skill repository
# Description
Enrich and analyze domains with DataForSEO Domain Analytics for "tech stack detection", "domain research", and "lead enrichment".
# SKILL.md
name: dataforseo-domain-analytics-api
description: Enrich and analyze domains with DataForSEO Domain Analytics for "tech stack detection", "domain research", and "lead enrichment".
license: MIT
metadata:
author: Leonardo Picciani
author_url: https://github.com/leonardo-picciani
project: DataForSEO Agent Skills (Experimental)
generated_with: OpenCode (agent runtime); OpenAI GPT-5.2
version: 0.1.0
experimental: 'true'
docs: https://docs.dataforseo.com/v3/domain_analytics/overview/
compatibility: Language-agnostic HTTP integration skill. Requires outbound network access to api.dataforseo.com and docs.dataforseo.com; uses HTTP Basic Auth.
DataForSEO Domain Analytics 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
- "what tech does this site use", "detect CMS/frameworks", "technology footprint"
- "find domains by technology", "build a tech-based prospect list"
- "WHOIS lookup", "domain ownership signals", "registrar data"
- "enrich leads with web tech", "segment accounts by stack"
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 Usage
- Domain Analytics is commonly Live-first (no crawl tasks); filters/locations/languages are key.
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)
- Overview: https://docs.dataforseo.com/v3/domain_analytics/overview/
Technologies:
- Technologies Overview: https://docs.dataforseo.com/v3/domain_analytics/technologies/overview/
- Technologies Filters: https://docs.dataforseo.com/v3/domain_analytics/technologies/filters/
- Technologies Locations: https://docs.dataforseo.com/v3/domain_analytics/technologies/locations/
- Technologies Languages: https://docs.dataforseo.com/v3/domain_analytics/technologies/languages/
Whois:
- Whois Overview: https://docs.dataforseo.com/v3/domain_analytics/whois/overview/
- Whois Filters: https://docs.dataforseo.com/v3/domain_analytics/whois/filters/
- Whois Overview (Live endpoint doc): https://docs.dataforseo.com/v3/domain_analytics/whois/overview/live/
Business & Product Use Cases
- Sales/BD enrichment: tag prospects by CMS/ecommerce platform/analytics tools.
- Build a "BuiltWith-style" product experience using DataForSEO datasets.
- Identify integration opportunities (target sites using a specific platform).
- Monitor competitor stack changes (replatforming, analytics migrations).
- Add WHOIS/tech signals to risk scoring and fraud detection.
- Segment partner programs by stack compatibility.
Examples (User Prompts)
- "If you don't have the skill installed, install
dataforseo-domain-analytics-apiand then continue." - "Install the Domain Analytics skill and detect the tech stack for these 500 domains."
- "Find prospects using Shopify in the US and return a ranked list of domains."
- "Enrich this lead list with CMS, analytics tools, and hosting signals."
- "Run a WHOIS overview for these domains and highlight risky registration patterns."
- "Compare our tech stack vs competitor stacks and summarize differences."
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.