knockoutez/wigolo/wigolo-agent

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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.

Install

npx vskill@latest install knockoutez/wigolo/wigolo-agent

SKILL.md

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

json
// 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

ParameterTypeDefaultWhen to use
promptstringrequiredNatural-language task description
urlsstring[]noneSeed URLs to include
schemaobjectnoneJSON Schema for structured extraction per page
max_pagesnumber10Hard cap on pages fetched (max 100)
max_time_msnumber60000Time budget in ms (max 600000)
streambooleanfalseEmit progress notifications per step
max_tokens_outnumbernoneToken-budget cap (cl100k-base)
include_full_markdownbooleanfalsePages return evidence excerpts by default
citation_formatstring"numbered""numbered" / "json" / "anthropic_tags"

How It Works

  1. Plans — interprets prompt, generates search queries and URLs.
  2. Executes — searches and fetches in parallel within budget.
  3. Extracts — if schema provided, extracts fields from each page and merges.
  4. Synthesizes — produces natural-language result or structured data.
  5. Reports — steps array shows every action with timings.

Synthesis follows a fallback ladder: host sampling → optional local language model → deterministic extraction.

Output Transparency

Every response includes a steps array:

json
[
{ "action": "plan", "detail": "Generated 3 search queries", "time_ms": 200 },
{ "action": "search", "detail": "Found 8 results", "time_ms": 5000 },
{ "action": "fetch", "detail": "Fetched 5 pages", "time_ms": 8000 },
{ "action": "extract", "detail": "Extracted schema from 5 sources", "time_ms": 3000 }
]

Use steps to debug weak results — if extraction is poor, check which pages were fetched.

Anti-Patterns

  • DON'T use for reports/analysis — use research instead.
  • DON'T use for single-page extraction — use extract instead.
  • DON'T set max_pages high without time budget — set max_time_ms too.

When NOT to use wigolo-agent

  • Per-page interactive flow needed (login, multi-step wizard, click-through pagination) — handle authentication or interaction externally, then chain with wigolo's extract.

See Also

Security

  • Security scanPassed, 93 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
5,334
Repository forks
431
7-day trend score
43

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