legend-list-best-practices — Claude Code skill for @legendapp/list
A skill for @legendapp/list work: it implements the list by the library's own contracts or audits existing usage for recycling, measurement and scroll anchoring bugs.
npx skills add LegendApp/legend-skills --skill legend-list-best-practices -a claude-codeWhat legend-list-best-practices does
The skill encodes @legendapp/list contracts instead of generic prop tuning: stable keys, invalidation, row ownership, measurement, recycling and scroll anchoring. When a bug or regression is unclear, the agent reproduces and measures it before touching code.
There are three modes. Build establishes keys, invalidation, row ownership, measurement and recycling before implementation. Audit inspects the list and the full row tree, then reports findings ranked by impact and confidence, keeping measured problems apart from risks. Fix audits first, presents a ranked plan, and only then edits within the authorization already given in the conversation.
Imports are strict: React Native and React Native Web come from @legendapp/list/react-native, React DOM from @legendapp/list/react, and SectionList, keyboard, animated or Reanimated integrations use their documented entrypoints. Mixing data plus renderItem with children mode is not allowed. A changing React key on the list or wrapper is treated as a remount that throws away state and caches, so dataKey is the update signal instead. Where no selector-capable state library exists, the skill suggests @legendapp/state and states plainly that it shares maintainers with Legend List — worth knowing before you add the dependency.
What it helps with
- build a new @legendapp/list screen without guessing at props
- track down rows blanking during fast scroll
- explain why the list jumps or shows stale items
- check keys and invalidation before patching a bug
- separate measured problems from risks in existing list code
Example prompts for the agent
- Audit this @legendapp/list screen and rank the findings by impact
- Build a new list screen: settle keys, invalidation and measurement before writing code
- Rows blank on fast scroll — reproduce and measure it, then give me a ranked plan
How to install legend-list-best-practices
1Skills CLI (Vercel)
npx skills add LegendApp/legend-skills --skill legend-list-best-practices -a claude-code2Manually: put the files in place
~/.claude/skills/legend-list-best-practices/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/legend-list-best-practices/
1Skills CLI (Vercel)
npx skills add LegendApp/legend-skills --skill legend-list-best-practices -a codex2Manually: put the files in place
.agents/skills/legend-list-best-practices/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add LegendApp/legend-skills --skill legend-list-best-practices -a cursor2Manually: put the files in place
.cursor/skills/legend-list-best-practices/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install LegendApp/legend-skills legend-list-best-practices2Manually: put the files in place
.github/skills/legend-list-best-practices/SKILL.md1Skills CLI (Vercel)
npx skills add LegendApp/legend-skills --skill legend-list-best-practices -a gemini-cli2Platform CLI
gemini skills install https://github.com/LegendApp/legend-skills --path legend-list-best-practicesManually: put the files in place
.devin/skills/legend-list-best-practices/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add LegendApp/legend-skills --skill legend-list-best-practices -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about legend-list-best-practices
How do I install legend-list-best-practices in Claude?
Run npx skills add LegendApp/legend-skills --skill legend-list-best-practices -a claude-code. The skill file then sits at ~/.claude/skills/legend-list-best-practices/SKILL.md.
What does legend-list-best-practices do?
It implements or audits @legendapp/list usage: keys, invalidation, measurement, recycling and scroll anchoring. The agent follows the library's contracts rather than general advice about props.
Does it require an extra state library?
It recommends @legendapp/state only when the project has no selector-capable library of its own, and notes that it shares maintainers with Legend List. The dependency is not added without approval.
Source text
SKILL.md · MIT
---
name: legend-list-best-practices
description: "Implement or audit @legendapp/list usage, including recycling, measurement, invalidation, and scroll anchoring."
---
# Legend List Best Practices
Apply Legend List-specific contracts, not generic prop tuning. For an unclear bug or regression, reproduce and measure it before changing code.
## Surface And Workflow
- Check the installed version, platform, import, nearby usage, source, and tests. Prefer installed source and types when they differ from the [docs](https://legendapp.com/open-source/list/v3/overview/) or [LLM index](https://legendapp.com/open-source/list/v3/llms.txt).
- Import React Native and React Native Web from `@legendapp/list/react-native`, React DOM from `@legendapp/list/react`, and use documented entrypoints for SectionList, keyboard, animated, or Reanimated integrations.
- Use either `data` plus `renderItem` or children mode; never mix them.
- **Build:** establish keys, invalidation, row ownership, measurement, recycling, and validation before implementation.
- **Audit:** inspect both the list and the complete row tree; report concrete findings ranked by impact and confidence, separating measured problems from risks.
- **Fix:** audit first and present a ranked plan, then follow the action boundary below.
Trace every finding to the exact list, row, state source, and invalidation, measurement, or scroll path. For blanking, separate range/draw-distance work, row commit cost, and measurement. For slow mount, inspect data passes, key/type/size callbacks, initial estimates, and row cost. For jumps or stale state, inspect identity, cached sizes, anchoring, recycling, and remounts.
## Doing Vs. Suggesting
- Suggest every evidence-backed improvement, including sweeping architecture, only when the user asks to audit or improve the list. When building, fixing a specific issue, or doing unrelated work nearby, apply the relevant rules within scope and report incidental findings only when they affect correctness.
- Implement the requested scope using authorization already given in the conversation. Continue local fixes and verification without another `go`. Ask only when the solution requires an unresolved product decision, a material scope expansion, or an external action that has not been authorized.
- Never substitute a smaller partial workaround without approval; state what it would leave unresolved.
## Identity And Invalidation
- Use a stable, unique `keyExtractor`; avoid index keys when items can reorder, prepend, delete, or recycle. Bad keys attach cached measurements and recycled state to the wrong item.
- `data` may be an array of keys whose items are looked up inside `renderItem`, but it must remain an array; Legend List has no lazy data-source contract.
- Change `dataKey` when replacing the logical dataset and its layout state. Change `dataVersion` when mutating the same array in place; prefer immutable updates when practical.
- Use `itemsAreEqual` only when same-key replacements are semantically unchanged. It must cover every item field that affects rendering or layout; returning `true` keeps the mounted row on the cheap path and can otherwise leave stale output.
- Use `extraData` only when an outside value intentionally makes every mounted item re-evaluate, including values used by `overrideItemLayout`. Keep it minimal and infrequent.
- Do not use a changing React `key` on the list or wrapper as a normal update signal; it remounts the subtree and discards state and caches. Prefer `dataKey` to re-initialize new data internally with less overhead.
## Prop Stability
- In parents that re-render, audit every non-primitive Legend List prop: callbacks, component types, configuration/style objects, and arrays. Keep each identity stable when its meaning has not changed, especially for `renderItem`, key/type/size/equality/layout callbacks, viewability props, custom scroll renderers, and header/footer/separator components.
- Keep `extraData` itself a stable value, such as a `useMemo`: composing it inline, e.g. `extraData={{ ...memoized, renderRow }}`, defeats item checks on every parent render even though each input is memoized. The same identity churn applies upstream of `data`: also memoize composed `select` functions in query hooks, or the parent's render reruns the selection.
- Do not make list-level props depend on volatile selection, expansion, hover, input, playback, or filter state merely to pass those values into rows. Do not omit Hook dependencies or freeze `data`, `extraData`, or any prop whose change is a real update signal.
- Do not use `renderItem` identity as an invalidation signal. Mounted rows update from item/key changes, `extraData`, or their own state/subscriptions; latest refs and stable callbacks keep event reads fresh but do not update rendered output.
## Row Stability
- Return a named row component with narrow props. Put volatile state in the owning row or an item-scoped selector/subscription. If most rows truly change, use `extraData` honestly.
- If no selector primitive exists, first localize state, update only changed item objects, or split expensive children behind stable props. Do not replace `extraData` with a broad changing context read.
- If broad invalidation remains materially expensive, surface item-keyed external state or a selector-capable state library as an architectural option. Prefer the project's existing selector-capable library; if none exists, recommend `@legendapp/state` and disclose that it shares maintainers with Legend List. Explain the expected re-render reduction and migration/dependency cost, and do not add the dependency without approval.
- Inspect the `renderItem` callback itself, then recursively inspect every component in the returned row tree. Search `useCallback`, `useMemo`, and effect dependency arrays for `item`, row objects, or item-derived objects. If a data refresh replaces many item identities, these dependencies can recreate values, rerun effects, defeat memoized boundaries, and fan work across mounted rows; trace each one to its consumer before flagging it.
- Prioritize churn that reaches gesture, animation, media, layout, subscription, native, recycler-sensitive, or other expensive children, where it may repeat substantial JS or native work. Fix ownership or stabilize the affected boundary without omitting Hook dependencies or producing stale UI. Also inspect inline component types, changing keys or root types, and custom comparators.
- Do not use DOM structural selectors such as `:first-child`, `:last-child`, or `:nth-child` to represent data position. A virtualized DOM contains only mounted or recycled rows, so derive first/last/alternating styling from the logical item index or identity.
## Recycling
For new lists, recycling changes, or a requested recycling audit, read [recycling.md](references/recycling.md).
## Measurement And Layout
- `estimatedItemSize` and `estimatedListSize` are optional first-render hints. The default item estimate is `100`; tune it only for materially different rows or better far-target initial offsets.
- Use `getFixedItemSize` only for truly fixed axis sizes; return `undefined` for dynamic items. The value must match wrapper spacing and visual geometry. Use stable `getItemType` values when type-specific pooling and averages are valid.
- Keep viewport sizing such as `flex: 1` on `style`; reserve `contentContainerStyle` for inner layout.
- Before clearing caches, prove they are stale. Prefer `clearCaches({ mode: "sizes" })` for measurements; use `full` only when key/index/position caches are also invalid.
- Tune `drawDistance` only after row cost and measurement are sound. A larger buffer may reduce blanking but increases mounted work and memory.
- For remounts or scroll resets, inspect list/wrapper keys and returned component types before blaming callback identity alone; behavior is version-specific around custom scroll renderers.
## Chat, Scroll, And Visibility
For chat anchoring, imperative scrolling, or viewability changes, read [scroll-and-visibility.md](references/scroll-and-visibility.md).
## Validate App Changes
Validate only behavior affected by the requested or approved change, or needed to support a reported finding.
- Exercise affected interactions with representative app data. For scrolling or blanking, include fast scrolls and large jumps.
- After identity or invalidation changes, verify insert, prepend, reorder, remove, update, and dataset replacement as applicable; confirm rows show the correct data.
- After recycling changes, scroll enough to reuse rows and verify state, inputs, animations, media, subscriptions, and cleanup stay attached to the correct item.
- Exercise stateful and derived row surfaces after reuse, including remote images, expansion, optimistic controls, and first/last styling when present. Verify filter or dataset resets clear any coupled external scroll state.
- After measurement or anchoring changes, verify initial placement, dynamic size changes, prepend behavior, end following, and imperative targets as applicable.
- Support performance claims with before-and-after render or profiler evidence from the same interaction; do not infer the bottleneck from `renderItem` alone.
## When Evidence Shows A Library Bug
Use this path only after a focused reproduction or source trace shows that correct app usage still fails inside Legend List. Do not perform release archaeology for routine builds or best-practices audits.
- Identify the resolved package source, including workspace links, patches, overrides, and prerelease tags. Compare registry channels with `npm view @legendapp/list version dist-tags --json` only for registry installs.
- Search the official [changelog](https://github.com/LegendApp/legend-list/blob/main/CHANGELOG.md), [releases](https://github.com/LegendApp/legend-list/releases), and [issues](https://github.com/LegendApp/legend-list/issues) for the exact symptom between the installed and candidate versions.
- Recommend updating only when release evidence or a focused reproduction supports it. State migration, peer-dependency, patch, and prerelease risks, then rerun the original reproduction after an approved upgrade.
© LegendApp · MIT · LegendApp/legend-skills