knockoutez/wigolo/wigolo-find-similar
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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.
Install
npx vskill@latest install knockoutez/wigolo/wigolo-find-similarSKILL.md
wigolo find_similar
Hybrid semantic discovery: semantic embeddings + keyword search + web search, fused via Reciprocal Rank Fusion (RRF).
Quick Reference
Parameters
| Parameter | Type | Default | When to use | |
|---|---|---|---|---|
url | string | — | Find pages similar to this URL's content | |
concept | string | — | Find pages related to a text concept (no URL needed) | |
max_results | number | 10 | Cap at 50 | |
include_domains | string[] | none | Scope results to specific sites | |
exclude_domains | string[] | none | Filter out domains | |
include_cache | boolean | true | Search local cache (fast, free) | |
include_web | boolean | true | Web fallback when cache is sparse | |
mode | string | "auto" | "auto", "cache", "web-expansion", "crawl-rank" | |
threshold | number | 0 | Hard post-filter on the raw fused score; 0 = no filtering. Filters match_signals.fused_score, not the normalized relevance_score | |
include_ranking_debug | boolean | false | Attach per-result ranking_debug with the raw ranks | |
max_tokens_out | number | none | Token-budget cap (cl100k-base) | |
include_full_markdown | boolean | false | Restore full body alongside evidence | |
citation_format | string | "numbered" | "numbered" / "json" / "anthropic_tags" |
Provide either url or concept (not both).
How It Works
- Embeds the input (URL content or concept text) into a vector.
- Searches local cache via embedding similarity + keyword matching.
- Falls back to web search if local hits are sparse.
- Fuses all signals via 3-way Reciprocal Rank Fusion (RRF).
- Returns ranked results. Each carries
match_signalswith thefused_score. Setinclude_ranking_debug: trueto also attach a per-resultranking_debugobject exposing the individual source ranks (fts5_rank,embedding_rank,web_rank,rrf_score) so you can audit disagreement between the three ranking sources.
Modes
- `auto` (default) — pick the strategy from available signals.
- `cache` — local hybrid only (keyword + semantic over the cache).
- `web-expansion` — derive key terms and expand via web search.
- `crawl-rank` — 1-hop crawl from the seed URL, embed, and cosine-rank the neighbours.
Cold-Start Signal
When the fused score from local signals is below threshold (env WIGOLO_FIND_SIMILAR_COLD_START_THRESHOLD), the response includes a cold_start string explaining why results came from web search. Pass it verbatim to the user.
Important: Build the Cache First
find_similar works best with a warm cache. Recommended workflow:
Anti-Patterns
- DON'T use find_similar on a fresh install expecting embedding results — crawl first.
- DON'T provide both
urlandconcept— pick one. - DON'T use when you want web-only results — use
searchinstead.
When NOT to use wigolo-find-similar
- No local cache and no plan to build one — fall back to
searchwithinclude_domains.
See Also
- wigolo-crawl — build the cache first
- wigolo-search — when you want web results, not cache similarity
Security
- Security scanPassed, 100 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
- SKILL.md in the repositoryCheckingskills/wigolo-find-similar/SKILL.md
Popularity
- Repository stars
- 5,334
- Repository forks
- 431
- 7-day trend score
- 43
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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