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Fuzzy Ranking (TanStack)
Rank fuzzy matches with rankItem, filter with RankingInfo.passed, compare saved ranking metadata with compareItems, and configure rankings, thresholds, accessors, min/max bounds, or diacritics. Load for @tanstack/match-sorter-utils itself or fuzzy Table filterMeta wiring.
ou envoie-le directement à ton agent.
Installer dans ton projet
$ curl -fsSL https://arboristhree.xyz/cli/install-skill.mjs -o /tmp/arboris-install-skill.mjs && node /tmp/arboris-install-skill.mjs fuzzy-ranking__tanstack-table__packages-match-sorter-utils-skills-914ef1c58e53TanStack
TanStack/table
Contenu à copier
---
name: fuzzy-ranking
description: >
Rank fuzzy matches with rankItem, filter with RankingInfo.passed, compare saved ranking metadata with compareItems, and configure rankings, thresholds, accessors, min/max bounds, or diacritics. Load for @tanstack/match-sorter-utils itself or fuzzy Table filterMeta wiring.
metadata:
origin: TanStack
type: core
library: '@tanstack/match-sorter-utils'
library_version: '9.2.6'
sources:
- 'TanStack/table:packages/match-sorter-utils/src/index.ts'
- 'TanStack/table:docs/framework/react/guide/fuzzy-filtering.md'
- 'TanStack/table:examples/react/filters-fuzzy'
---
## Setup
<!-- skill-snippet:check -->
```ts
import { compareItems, rankItem, rankings } from '@tanstack/match-sorter-utils'
const query = 'tan'
const values = ['table', 'tanner', 'router']
export const ranked = values
.map((value) => ({
value,
info: rankItem(value, query, { threshold: rankings.MATCHES }),
}))
.filter((entry) => entry.info.passed)
.sort((a, b) => compareItems(a.info, b.info))
```
## Core Patterns
### Separate ranking, filtering, and sorting
Call `rankItem` once, filter on `info.passed`, retain the `RankingInfo`, then order matching results with `compareItems`.
### Rank object fields through accessors
```ts
type Person = { name: string; email: string }
const person: Person = { name: 'Ada Lovelace', email: 'ada@example.test' }
const info = rankItem(person, 'lov', {
accessors: [(item) => item.name, (item) => item.email],
})
```
Accessor options can set a per-accessor threshold plus minRanking/maxRanking bounds.
### Store ranking as Table filter metadata
In a Table filterFn, call `addMeta?.({ itemRank })`. Register the corresponding
meta shape with `filterMeta: metaHelper<{ itemRank: RankingInfo }>()`. A related
sortFn reads `row.columnFiltersMeta[columnId]?.itemRank` and uses `compareItems`,
falling back to an ordinary comparator for ties or absent metadata. For the
primary Table composition, load `@tanstack/table-core#table-features` and read
its global-filtering reference. Register the fuzzy filter under `filterFns`
for `globalFilterFn: 'fuzzy'`.
## Common Mistakes
### HIGH Numeric rank used as pass flag
Wrong: `if (rankItem(value, query).rank) include(value)`.
Correct: test `rankItem(value, query).passed`.
Ranks below the configured threshold can still be nonzero; `passed` records the threshold decision.
Source: TanStack/table:packages/match-sorter-utils/src/index.ts
### HIGH Ranking recomputed during sorting
Wrong: call `rankItem` for both rows on every comparator invocation.
Correct: retain RankingInfo during filtering and pass the stored values to `compareItems`.
Sorting is called many times; recomputing also risks using different query/options than the filter decision.
Source: TanStack/table:docs/framework/react/guide/fuzzy-filtering.md
### MEDIUM compareItems direction reversed twice
Wrong: negate `compareItems(a, b)` because a larger rank should appear first.
Correct: use `compareItems(a, b)` directly for ascending fuzzy relevance.
The function already returns -1 when `a.rank` is greater than `b.rank`.
Source: TanStack/table:packages/match-sorter-utils/src/index.ts
## API Discovery
Inspect `node_modules/@tanstack/match-sorter-utils/dist/index.d.ts` for the installed `RankItemOptions`, accessor attributes, ranking constants, and comparator behavior. For TanStack Table metadata integration, load `@tanstack/table-core#table-features` and read its global-filtering and sorting references.Colle ce Markdown dans ton agent ou utilise les boutons ci-dessus pour l’écrire dans ton projet.
Ce que fait Fuzzy Ranking (TanStack)
Applique les pratiques du skill fuzzy-ranking__tanstack-table__packages-match-sorter-utils-skills-914ef1c58e53.
Comment utiliser Fuzzy Ranking (TanStack)
1
Copie le prompt
Un clic copie le prompt packagé (ou l'envoie à ton agent).
2
L'agent installe le skill
Il ajoute le SKILL.md et ses ressources à ton projet.
3
Activation automatique
Le skill s'active dès que le contexte correspond.
Déclencheurs pour Fuzzy Ranking (TanStack)
Dis simplement à ton agent quelque chose comme :
Applique le skill fuzzy-ranking__tanstack-table__packages-match-sorter-utils-skills-914ef1c58e53 à cette tâche
Utilise fuzzy-ranking__tanstack-table__packages-match-sorter-utils-skills-914ef1c58e53 pour améliorer cette implémentation
Passe en revue ce sujet avec fuzzy-ranking__tanstack-table__packages-match-sorter-utils-skills-914ef1c58e53
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