Skip to content
Data
Skill

/wigolo-research

Local-first multi-step research with question decomposition, parallel search, structured briefs, cross-references, and gap analysis. Use when the user needs comprehensive analysis, comparison reports, literature reviews, or says "research", "compare X vs Y", "deep dive",

From plugin
wigolo
5.5k11 skills

Claude Code

$ npx -y skills add KnockOutEZ/wigolo --skill wigolo-research --agent claude-code

SKILL.md

wigolo-research.SKILL.md
name: wigolo-research
description: |
  Local-first multi-step research with question decomposition, parallel search, structured briefs, cross-references, and gap analysis. Use when the user needs comprehensive analysis, comparison reports, literature reviews, or says "research", "compare X vs Y", "deep dive", "thorough analysis", "find everything about". Returns a structured `brief` with `topics`, `highlights`, `key_findings`, `sections.overview.cross_references`, `sections.comparison`, `sections.gaps`.
license: AGPL-3.0-only
metadata:
  author: KnockOutEZ
  version: 0.3.1
  homepage: https://github.com/KnockOutEZ/wigolo
  repository: https://github.com/KnockOutEZ/wigolo

wigolo research

Comprehensive multi-source research with structured output. Beats chaining `search` + `fetch` manually for multi-source synthesis.

Quick Reference

// Standard research
{ "question": "How does Deno 2 compare to Node.js for production?", "depth": "standard" }

// Comprehensive (more sources, deeper analysis)
{ "question": "SQLite vs PostgreSQL vs DuckDB for analytics", "depth": "comprehensive" }

// Quick factual check
{ "question": "What are the breaking changes in React 19?", "depth": "quick" }

// Domain-scoped research
{ "question": "Next.js App Router patterns", "depth": "standard", "include_domains": ["nextjs.org", "vercel.com"] }

// With structured output schema
{ "question": "Compare Prisma vs Drizzle vs TypeORM", "depth": "standard", "schema": { "type": "object", "properties": { "orm": { "type": "string" }, "bundle_size": { "type": "string" }, "type_safety": { "type": "string" } } } }

Depth Levels

| Depth | Sub-queries | Sources | Time | Use case | |-------|-------------|---------|------|----------| | `quick` | 2-3 | 5-8 | ~15s | Quick factual check | | `standard` | 4-5 | 10-15 | ~40s | Normal research (default) | | `comprehensive` | 6-7 | 20-25 | ~80s | Deep comparison, full review |

Override the source count for the chosen depth with `max_sources` (cap 50) — raise it to widen coverage, lower it to keep a run fast.

Output: Structured Brief

When MCP sampling is unavailable (common case), the output carries a `brief`:

{
  "brief": {
    "key_findings": [...],       // top passages across all sources — start report here
    "topics": [...],             // sources grouped by sub-query
    "sections": {
      "overview": { "cross_references": [...] },  // findings corroborated by 2+ sources — most reliable
      "comparison": {...},                         // entity-specific points for X vs Y queries
      "gaps": [...]                                // sub-queries / named entities with limited coverage
    }
  },
  "sub_queries": [...],
  "sources": [...],
  "query_type": "..."          // decomposition strategy used
}

**Gaps surface named sub-entities that decomposition or search could not corroborate** — never silently dropped.

Writing the Report

See [wigolo/rules/synthesis.md](../wigolo/rules/synthesis.md). Quick version:

1. Start with `key_findings` for the executive summary. 2. Use `sections.overview.cross_references` for the most reliable claims. 3. Write sections from `topics`. 4. Build comparison table from `sections.comparison` (if present). 5. Note `sections.gaps` as limitations. 6. Cite with [N] format from `citations`.

Anti-Patterns

  • DON'T use for single-URL lookups — use `fetch` instead.
  • DON'T use for data gathering — use `agent` with a schema instead.
  • DON'T pre-probe cache before calling research — it checks internally.

When NOT to use wigolo-research

  • **You want a single-shot search result, not a synthesized report** — use `search` with `format: "answer"`.

See Also

  • [wigolo-search](../wigolo-search/SKILL.md) — for single-query search
  • [wigolo-agent](../wigolo-agent/SKILL.md) — for structured data gathering (not reports)
  • [wigolo/rules/synthesis.md](../wigolo/rules/synthesis.md) — how to write from briefs
Read more
@knockoutez
Ships withwigolo

The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.

Stars on GitHub

Momentum

stars in total
5.5k
Star history of KnockOutEZ/wigolo on GitHub, a chart by star-history.com

Other skills on wigolo.

wigolo-agent

wigolo-agent

Autonomous data gathering across sources — plans search queries and URLs from a natural-language prompt, executes in parallel…

@knockoutez@knockoutezInstall Skill
wigolo-cache

wigolo-cache

Local-first knowledge cache — full-text and hybrid semantic search over every page wigolo has already fetched, crawled, or…

@knockoutez@knockoutezInstall Skill
wigolo-crawl

wigolo-crawl

Local-first multi-page crawl with sitemap, BFS, DFS, and URL-map strategies, anchor-fragment dedup, rate limiting, robots.txt…

@knockoutez@knockoutezInstall Skill
wigolo-diff

wigolo-diff

Compare two versions of a page and see exactly what changed — a live URL against its cached copy, two URLs, or two markdown…

@knockoutez@knockoutezInstall Skill
wigolo-extract

wigolo-extract

Local-first structured extraction from any webpage — tables, definition lists, key-value pairs, JSON-LD, microdata, chart hints…

@knockoutez@knockoutezInstall Skill
wigolo-fetch

wigolo-fetch

Local-first URL fetch with clean markdown, structured metadata, JS-rendered SPA support, authenticated browser sessions, PDFs,…

@knockoutez@knockoutezInstall Skill

More skills from other plugins.

context-loader
Auto-invoked

context-loader

Search memories from earlier Pi sessions in this repository. Use it when earlier work may already explain the code, error,…

mem06d69k
@mem0ai@mem0aiInstall Skill
analyzing-ai-citations

analyzing-ai-citations

Answer AI citation and answer engine optimization (AEO) questions in PostHog: whether AI answer engines (ChatGPT, Claude, and an…

posthog12d41k
@posthog@posthogInstall Skill

Questions about wigolo-research.

Which coding agents can use wigolo-research?
wigolo-research installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.