Skills

Wigolo Find Similar

Hybrid semantic discovery, fuses embeddings + keyword search + live web search via...

Install

npx skills add KnockOutEZ/wigolo --skill wigolo-find-similar -g -a claude-code -y
Repository
KnockOutEZ/wigolo5.5k
Category
Engineering
Updated
3d ago
License
AGPL-3.0-only
Context cost
Lightabout 958 tokens
Runs scripts
No, instructions only

What it does

Hybrid semantic discovery, fuses embeddings + keyword search + live web search via 3-way Reciprocal Rank Fusion. Use when the user has a good source and wants more like it, says "find similar", "related pages", "more like this", or wants to discover content related to a known URL or concept. Works best after a `crawl` or several `fetch` calls have warmed the local cache. Emits `cold_start` when local signals are weak.

wigolo find_similar

Hybrid semantic discovery: semantic embeddings + keyword search + web search, fused via Reciprocal Rank Fusion (RRF).

Quick Reference

// Find pages similar to a URL
{ "url": "https://docs.astro.build/en/getting-started/" }

// Find pages related to a concept
{ "concept": "JavaScript framework server-side rendering" }

// Scoped to specific domains
{ "url": "https://react.dev/reference/react/use", "include_domains": ["vuejs.org", "svelte.dev"] }

// Cache-only (no web fallback)
{ "url": "https://example.com/page", "include_web": false }

Parameters

ParameterTypeDefaultWhen to use
urlstring,Find pages similar to this URL's content
conceptstring,Find pages related to a text concept (no URL needed)
max_resultsnumber10Cap at 50
include_domainsstring[]noneScope results to specific sites
exclude_domainsstring[]noneFilter out domains
include_cachebooleantrueSearch local cache (fast, free)
include_webbooleantrueWeb fallback when cache is sparse
modestring"auto""auto", "cache", "web-expansion", "crawl-rank"
thresholdnumber0Hard post-filter on the raw fused score; 0 = no filtering. Filters match_signals.fused_score, not the normalized relevance_score
include_ranking_debugbooleanfalseAttach per-result ranking_debug with the raw ranks
max_tokens_outnumbernoneToken-budget cap (cl100k-base)
include_full_markdownbooleanfalseRestore full body alongside evidence
citation_formatstring"numbered""numbered" / "json" / "anthropic_tags"

Provide either url or concept (not both).

How It Works

Read the whole SKILL.md on GitHub

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