Use when adding new error messages to React, or seeing "unknown error code" warnings.
npx skills add leonardo-picciani/dataforseo-agent-skills --skill "dataforseo-labs-api"
Install specific skill from multi-skill repository
# Description
Run SEO research workflows with DataForSEO Labs for "competitive research", "keyword ideas", and "market analysis".
# SKILL.md
name: dataforseo-labs-api
description: Run SEO research workflows with DataForSEO Labs for "competitive research", "keyword ideas", and "market analysis".
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/dataforseo_labs/overview/
compatibility: Language-agnostic HTTP integration skill. Requires outbound network access to api.dataforseo.com and docs.dataforseo.com; uses HTTP Basic Auth.
DataForSEO Labs 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
- "find SERP competitors", "keyword gap analysis", "domain intersection"
- "keyword ideas", "related keywords", "keyword suggestions"
- "ranked keywords for a domain", "relevant pages"
- "traffic estimation", "historical SERPs", "domain rank overview"
- "build an SEO research platform", "competitive intelligence"
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 Labs endpoints are Live-first (
/live/) and designed for interactive research.
Group Notes
- Use the official Locations/Languages reference to avoid invalid geo/language 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)
- Overview: https://docs.dataforseo.com/v3/dataforseo_labs/overview/
- Locations and Languages: https://docs.dataforseo.com/v3/dataforseo_labs/locations_and_languages/
Engine overviews:
- Google: https://docs.dataforseo.com/v3/dataforseo_labs/google/overview/
- Amazon: https://docs.dataforseo.com/v3/dataforseo_labs/amazon/overview/
- Google Play: https://docs.dataforseo.com/v3/dataforseo_labs/google_play/overview/
- App Store: https://docs.dataforseo.com/v3/dataforseo_labs/app_store/overview/
Business & Product Use Cases
- Competitive intelligence features: discover competitors per topic and market.
- "Gap analysis" workflows (what competitors rank for that you don't).
- Prioritize content and landing pages by estimated opportunity.
- Category dashboards (top searches, category-level demand).
- Portfolio analysis for agencies managing multiple sites.
- Automated SEO audit summaries for sales/upsell conversations.
Examples (User Prompts)
- "If you don't have the skill installed, install
dataforseo-labs-apiand then continue." - "Install the DataForSEO Labs skill and find our top SERP competitors for these topics."
- "Run a keyword gap analysis: what competitors rank for that we don't, by market."
- "Give me keyword ideas for 'remote onboarding' and pick top 20 opportunities."
- "Estimate traffic potential for these 30 keywords and propose a content roadmap."
- "Create a competitor landscape report with intersections and top pages."
# 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.