Wigolo Agent
Autonomous data gathering across sources, plans search queries and URLs from a...
Install
npx skills add KnockOutEZ/wigolo --skill wigolo-agent -g -a claude-code -y- Repository
- KnockOutEZ/wigolo5.5k
- Category
- AI and agents
- Updated
- 3d ago
- License
- AGPL-3.0-only
- Context cost
- Lightabout 774 tokens
- Runs scripts
- No, instructions only
What it does
Autonomous data gathering across sources, plans search queries and URLs from a natural-language prompt, executes in parallel within a time budget, optionally extracts structured fields via JSON Schema, and synthesizes results with full step transparency. Use when the user needs data collected from the web with a specific shape, says "gather data", "find pricing for", "collect information about", "extract from multiple sites", or provides a JSON schema for web data.
wigolo agent
Natural-language data gathering with optional JSON Schema output. Local-first: every fetched page lands in the cache for later reuse.
Quick Reference
// Natural language data gathering
{ "prompt": "Find pricing tiers for the top 5 headless CMS platforms" }
// With structured output schema
{
"prompt": "Find pricing for Contentful, Sanity, and Strapi",
"schema": { "type": "object", "properties": { "name": { "type": "string" }, "free_tier": { "type": "string" }, "pro_price": { "type": "string" }, "enterprise": { "type": "string" } } }
}
// With starting URLs
{
"prompt": "Compare features across these CMS platforms",
"urls": ["https://contentful.com/pricing", "https://sanity.io/pricing"],
"max_pages": 6
}
Parameters
| Parameter | Type | Default | When to use |
|---|---|---|---|
prompt | string | required | Natural-language task description |
urls | string[] | none | Seed URLs to include |
schema | object | none | JSON Schema for structured extraction per page |
max_pages | number | 10 | Hard cap on pages fetched (max 100) |
max_time_ms | number | 60000 | Time budget in ms (max 600000) |
stream | boolean | false | Emit progress notifications per step |
max_tokens_out | number | none | Token-budget cap (cl100k-base) |
include_full_markdown | boolean | false | Pages return evidence excerpts by default |
citation_format | string | "numbered" | "numbered" / "json" / "anthropic_tags" |
How It Works
- Plans, interprets prompt, generates search queries and URLs.
- Executes, searches and fetches in parallel within budget.
- Extracts, if schema provided, extracts fields from each page and merges.
- Synthesizes, produces natural-language result or structured data.
- Reports,
stepsarray shows every action with timings.
Synthesis follows a fallback ladder: host sampling → optional local language model → deterministic extraction.
