🛠️ データFetching
サービス層、Zustand、SWRを活用したデータ取得のアーキテクチャを設計し、実装するSkill。
📺 まず動画で見る(YouTube)
▶ 【衝撃】最強のAIエージェント「Claude Code」の最新機能・使い方・プログラミングをAIで効率化する超実践術を解説! ↗
※ jpskill.com 編集部が参考用に選んだ動画です。動画の内容と Skill の挙動は厳密には一致しないことがあります。
📜 元の英語説明(参考)
Data fetching architecture guide using Service layer + Zustand Store + SWR. Use when implementing data fetching, creating services, working with store hooks, or migrating from useEffect. Triggers on data loading, API calls, service creation, or store data fetching tasks.
🇯🇵 日本人クリエイター向け解説
サービス層、Zustand、SWRを活用したデータ取得のアーキテクチャを設計し、実装するSkill。
※ jpskill.com 編集部が日本のビジネス現場向けに補足した解説です。Skill本体の挙動とは独立した参考情報です。
下記のコマンドをコピーしてターミナル(Mac/Linux)または PowerShell(Windows)に貼り付けてください。 ダウンロード → 解凍 → 配置まで全自動。
mkdir -p ~/.claude/skills && cd ~/.claude/skills && curl -L -o data-fetching.zip https://jpskill.com/download/1272.zip && unzip -o data-fetching.zip && rm data-fetching.zip
$d = "$env:USERPROFILE\.claude\skills"; ni -Force -ItemType Directory $d | Out-Null; iwr https://jpskill.com/download/1272.zip -OutFile "$d\data-fetching.zip"; Expand-Archive "$d\data-fetching.zip" -DestinationPath $d -Force; ri "$d\data-fetching.zip"
完了後、Claude Code を再起動 → 普通に「動画プロンプト作って」のように話しかけるだけで自動発動します。
💾 手動でダウンロードしたい(コマンドが難しい人向け)
- 1. 下の青いボタンを押して
data-fetching.zipをダウンロード - 2. ZIPファイルをダブルクリックで解凍 →
data-fetchingフォルダができる - 3. そのフォルダを
C:\Users\あなたの名前\.claude\skills\(Win)または~/.claude/skills/(Mac)へ移動 - 4. Claude Code を再起動
⚠️ ダウンロード・利用は自己責任でお願いします。当サイトは内容・動作・安全性について責任を負いません。
🎯 このSkillでできること
下記の説明文を読むと、このSkillがあなたに何をしてくれるかが分かります。Claudeにこの分野の依頼をすると、自動で発動します。
📦 インストール方法 (3ステップ)
- 1. 上の「ダウンロード」ボタンを押して .skill ファイルを取得
- 2. ファイル名の拡張子を .skill から .zip に変えて展開(macは自動展開可)
- 3. 展開してできたフォルダを、ホームフォルダの
.claude/skills/に置く- · macOS / Linux:
~/.claude/skills/ - · Windows:
%USERPROFILE%\.claude\skills\
- · macOS / Linux:
Claude Code を再起動すれば完了。「このSkillを使って…」と話しかけなくても、関連する依頼で自動的に呼び出されます。
詳しい使い方ガイドを見る →- 最終更新
- 2026-05-17
- 取得日時
- 2026-05-17
- 同梱ファイル
- 2
💬 こう話しかけるだけ — サンプルプロンプト
- › Data Fetching を使って、最小構成のサンプルコードを示して
- › Data Fetching の主な使い方と注意点を教えて
- › Data Fetching を既存プロジェクトに組み込む方法を教えて
これをClaude Code に貼るだけで、このSkillが自動発動します。
📖 Claude が読む原文 SKILL.md(中身を展開)
この本文は AI(Claude)が読むための原文(英語または中国語)です。日本語訳は順次追加中。
LobeHub Data Fetching Architecture
Related:
store-data-structurescovers List vs Detail data shape rationale (Map vs Array).
Architecture Overview
┌─────────────┐
│ Component │
└──────┬──────┘
│ 1. Call useFetchXxx hook from store
↓
┌──────────────────┐
│ Zustand Store │
│ (State + Hook) │
└──────┬───────────┘
│ 2. useClientDataSWR calls service
↓
┌──────────────────┐
│ Service Layer │
│ (xxxService) │
└──────┬───────────┘
│ 3. Call lambdaClient
↓
┌──────────────────┐
│ lambdaClient │
│ (TRPC Client) │
└──────────────────┘
Core Principles
✅ DO
- Use Service Layer for all API calls
- Use Store SWR Hooks for data fetching (not useEffect)
- Use proper data structures — see
store-data-structuresskill for List vs Detail patterns - Use lambdaClient.mutate for write operations (create/update/delete)
- Use lambdaClient.query only inside service methods
- Naming convention — read hooks are
useFetchXxx, cache invalidation helpers arerefreshXxx(e.g.useFetchBenchmarks/refreshBenchmarks). Mutations then chainrefreshXxx()after the service call.
❌ DON'T
- Never use useEffect for data fetching
- Never call lambdaClient directly in components or stores
- Never use useState for server data
- Never mix data structure patterns — follow
store-data-structuresskill
Layer 1: Service Layer
Purpose
- Encapsulate all API calls to lambdaClient
- Provide clean, typed interfaces
- Single source of truth for API operations
Service Structure
// src/services/agentEval.ts
class AgentEvalService {
// Query methods - READ operations
async listBenchmarks() {
return lambdaClient.agentEval.listBenchmarks.query();
}
async getBenchmark(id: string) {
return lambdaClient.agentEval.getBenchmark.query({ id });
}
// Mutation methods - WRITE operations
async createBenchmark(params: CreateBenchmarkParams) {
return lambdaClient.agentEval.createBenchmark.mutate(params);
}
async updateBenchmark(params: UpdateBenchmarkParams) {
return lambdaClient.agentEval.updateBenchmark.mutate(params);
}
async deleteBenchmark(id: string) {
return lambdaClient.agentEval.deleteBenchmark.mutate({ id });
}
}
export const agentEvalService = new AgentEvalService();
Service Guidelines
- One service per domain (e.g., agentEval, ragEval, aiAgent)
- Export singleton instance (
export const xxxService = new XxxService()) - Method names match operations (list, get, create, update, delete)
- Clear parameter types (use interfaces for complex params)
Layer 2: Store with SWR Hooks
Purpose
- Manage client-side state
- Provide SWR hooks for data fetching
- Handle cache invalidation
State Structure
// src/store/eval/slices/benchmark/initialState.ts
export interface BenchmarkSliceState {
// List data - simple array
benchmarkList: AgentEvalBenchmarkListItem[];
benchmarkListInit: boolean;
// Detail data - map for caching
benchmarkDetailMap: Record<string, AgentEvalBenchmark>;
loadingBenchmarkDetailIds: string[];
// Mutation states
isCreatingBenchmark: boolean;
isUpdatingBenchmark: boolean;
isDeletingBenchmark: boolean;
}
For complete initialState, reducer, and internal dispatch patterns, see the
store-data-structuresskill.
Actions
// src/store/eval/slices/benchmark/action.ts
const FETCH_BENCHMARKS_KEY = 'FETCH_BENCHMARKS';
const FETCH_BENCHMARK_DETAIL_KEY = 'FETCH_BENCHMARK_DETAIL';
export interface BenchmarkAction {
// SWR Hooks - for data fetching
useFetchBenchmarks: () => SWRResponse;
useFetchBenchmarkDetail: (id?: string) => SWRResponse;
// Refresh methods - for cache invalidation
refreshBenchmarks: () => Promise<void>;
refreshBenchmarkDetail: (id: string) => Promise<void>;
// Mutation actions
createBenchmark: (params: CreateParams) => Promise<any>;
updateBenchmark: (params: UpdateParams) => Promise<void>;
deleteBenchmark: (id: string) => Promise<void>;
// Internal methods - not for direct UI use
internal_dispatchBenchmarkDetail: (payload: BenchmarkDetailDispatch) => void;
internal_updateBenchmarkDetailLoading: (id: string, loading: boolean) => void;
}
export const createBenchmarkSlice: StateCreator<EvalStore, any, [], BenchmarkAction> = (
set,
get,
) => ({
// Fetch list — simple array stored in benchmarkList
useFetchBenchmarks: () =>
useClientDataSWR(FETCH_BENCHMARKS_KEY, () => agentEvalService.listBenchmarks(), {
onSuccess: (data) => {
set({ benchmarkList: data, benchmarkListInit: true }, false, 'useFetchBenchmarks/success');
},
}),
// Fetch detail — null key disables the request when id is missing
useFetchBenchmarkDetail: (id) =>
useClientDataSWR(
id ? [FETCH_BENCHMARK_DETAIL_KEY, id] : null,
() => agentEvalService.getBenchmark(id!),
{
onSuccess: (data) => {
get().internal_dispatchBenchmarkDetail({
type: 'setBenchmarkDetail',
id: id!,
value: data,
});
get().internal_updateBenchmarkDetailLoading(id!, false);
},
},
),
// Refresh methods
refreshBenchmarks: () => mutate(FETCH_BENCHMARKS_KEY),
refreshBenchmarkDetail: (id) => mutate([FETCH_BENCHMARK_DETAIL_KEY, id]),
// CREATE — refresh list after creation
createBenchmark: async (params) => {
set({ isCreatingBenchmark: true }, false, 'createBenchmark/start');
try {
const result = await agentEvalService.createBenchmark(params);
await get().refreshBenchmarks();
return result;
} finally {
set({ isCreatingBenchmark: false }, false, 'createBenchmark/end');
}
},
// UPDATE — optimistic update + refresh
updateBenchmark: async (params) => {
const { id } = params;
// 1. Optimistic update
get().internal_dispatchBenchmarkDetail({
type: 'updateBenchmarkDetail',
id,
value: params,
});
// 2. Set loading
get().internal_updateBenchmarkDetailLoading(id, true);
try {
// 3. Call service
await agentEvalService.updateBenchmark(params);
// 4. Refresh from server
await get().refreshBenchmarks();
await get().refreshBenchmarkDetail(id);
} finally {
get().internal_updateBenchmarkDetailLoading(id, false);
}
},
// DELETE — optimistic update + refresh
deleteBenchmark: async (id) => {
get().internal_dispatchBenchmarkDetail({ type: 'deleteBenchmarkDetail', id });
get().internal_updateBenchmarkDetailLoading(id, true);
try {
await agentEvalService.deleteBenchmark(id);
await get().refreshBenchmarks();
} finally {
get().internal_updateBenchmarkDetailLoading(id, false);
}
},
// Internal — dispatch to reducer (for detail map)
internal_dispatchBenchmarkDetail: (payload) => {
const currentMap = get().benchmarkDetailMap;
const nextMap = benchmarkDetailReducer(currentMap, payload);
// Skip set when nothing changed — avoids unnecessary re-renders
if (isEqual(nextMap, currentMap)) return;
set({ benchmarkDetailMap: nextMap }, false, `dispatchBenchmarkDetail/${payload.type}`);
},
// Internal — update loading state for specific detail
internal_updateBenchmarkDetailLoading: (id, loading) => {
set(
(state) => ({
loadingBenchmarkDetailIds: loading
? [...state.loadingBenchmarkDetailIds, id]
: state.loadingBenchmarkDetailIds.filter((i) => i !== id),
}),
false,
'updateBenchmarkDetailLoading',
);
},
});
Store Guidelines
- SWR keys as constants at top of file
- useClientDataSWR for all data fetching (never useEffect)
- onSuccess callback updates store state
- Refresh methods use
mutate()to invalidate cache - Loading states in initialState, updated in onSuccess
- Mutations call service, then refresh relevant cache
Layer 3: Component Usage
Fetching List Data
// ✅ CORRECT
const BenchmarkList = () => {
// 1. Get the hook from store
const useFetchBenchmarks = useEvalStore((s) => s.useFetchBenchmarks);
// 2. Get list data
const benchmarks = useEvalStore((s) => s.benchmarkList);
const isInit = useEvalStore((s) => s.benchmarkListInit);
// 3. Call the hook (SWR handles the data fetching)
useFetchBenchmarks();
// 4. Use the data
if (!isInit) return <Loading />;
return (
<div>
<h2>Total: {benchmarks.length}</h2>
{benchmarks.map((b) => (
<BenchmarkCard key={b.id} {...b} />
))}
</div>
);
};
Fetching Detail Data
// ✅ CORRECT
const BenchmarkDetail = () => {
const { benchmarkId } = useParams<{ benchmarkId: string }>();
const useFetchBenchmarkDetail = useEvalStore((s) => s.useFetchBenchmarkDetail);
// Detail from map
const benchmark = useEvalStore((s) =>
benchmarkId ? s.benchmarkDetailMap[benchmarkId] : undefined,
);
// Per-item loading
const isLoading = useEvalStore((s) =>
benchmarkId ? s.loadingBenchmarkDetailIds.includes(benchmarkId) : false,
);
useFetchBenchmarkDetail(benchmarkId);
if (!benchmark) return <Loading />;
return (
<div>
<h1>{benchmark.name}</h1>
<p>{benchmark.description}</p>
{isLoading && <Spinner />}
</div>
);
};
Using Selectors (Recommended)
// src/store/eval/slices/benchmark/selectors.ts
export const benchmarkSelectors = {
getBenchmarkDetail: (id: string) => (s: EvalStore) => s.benchmarkDetailMap[id],
isLoadingBenchmarkDetail: (id: string) => (s: EvalStore) =>
s.loadingBenchmarkDetailIds.includes(id),
};
// Component with selectors
const BenchmarkDetail = () => {
const { benchmarkId } = useParams();
const useFetchBenchmarkDetail = useEvalStore((s) => s.useFetchBenchmarkDetail);
const benchmark = useEvalStore(benchmarkSelectors.getBenchmarkDetail(benchmarkId!));
useFetchBenchmarkDetail(benchmarkId);
return <div>{benchmark && <h1>{benchmark.name}</h1>}</div>;
};
Anti-pattern
// ❌ WRONG — Don't use useEffect for data fetching
const BenchmarkList = () => {
const [data, setData] = useState([]);
const [loading, setLoading] = useState(false);
useEffect(() => {
setLoading(true);
lambdaClient.agentEval.listBenchmarks
.query()
.then(setData)
.finally(() => setLoading(false));
}, []);
return <div>...</div>;
};
Mutations in Components
// Create — global mutation flag drives form loading
const CreateBenchmarkModal = () => {
const createBenchmark = useEvalStore((s) => s.createBenchmark);
const isCreating = useEvalStore((s) => s.isCreatingBenchmark);
const handleSubmit = async (values) => {
try {
// Optimistic update + refresh happen inside createBenchmark
await createBenchmark(values);
message.success('Created successfully');
onClose();
} catch (error) {
message.error('Failed to create');
}
};
return (
<Form onSubmit={handleSubmit} loading={isCreating}>
...
</Form>
);
};
// Update / delete — per-item loading so only the row being mutated spins
const BenchmarkItem = ({ id }: { id: string }) => {
const updateBenchmark = useEvalStore((s) => s.updateBenchmark);
const deleteBenchmark = useEvalStore((s) => s.deleteBenchmark);
const isLoading = useEvalStore(benchmarkSelectors.isLoadingBenchmarkDetail(id));
const handleUpdate = async (data) => {
await updateBenchmark({ id, ...data });
};
const handleDelete = async () => {
await deleteBenchmark(id);
};
return (
<div>
{isLoading && <Spinner />}
<button onClick={handleUpdate}>Update</button>
<button onClick={handleDelete}>Delete</button>
</div>
);
};
Why two patterns: create has no id yet, so a single isCreatingXxx flag is enough. Update/delete target a specific row, so global flags would freeze unrelated rows — keep per-item state in loadingXxxIds.
Need a fuller worked example?
The canonical Benchmark example above is the one to copy for a flat list + detail map. If you need to maintain a list keyed by a parent id (e.g. datasetMap[benchmarkId] because the same shape appears under multiple parents), read references/walkthrough.md — it walks through the full 6 steps (service → reducer → slice → store wiring → selectors → component) for that variant.
Common Patterns
Pattern 1: Pagination
Cache key array must include every parameter that should trigger a refetch.
useFetchTestCases: (params: { datasetId: string; limit: number; offset: number }) =>
useClientDataSWR(
params.datasetId ? [FETCH_TEST_CASES_KEY, params.datasetId, params.limit, params.offset] : null,
() => agentEvalService.listTestCases(params),
{
onSuccess: (data) =>
set({
testCaseList: data.data,
testCaseTotal: data.total,
isLoadingTestCases: false,
}),
},
);
Pattern 2: Dependent Fetching
Both hooks run in parallel — SWR dedupes, no manual sequencing needed.
const BenchmarkDetail = () => {
const { benchmarkId } = useParams();
const useFetchBenchmarkDetail = useEvalStore((s) => s.useFetchBenchmarkDetail);
const useFetchDatasets = useEvalStore((s) => s.useFetchDatasets);
useFetchBenchmarkDetail(benchmarkId);
useFetchDatasets(benchmarkId);
return <div>...</div>;
};
Pattern 3: Conditional Fetching
Pass undefined to disable the hook entirely.
// only fetch when modal is open AND id present
useFetchDatasetDetail(open && datasetId ? datasetId : undefined);
Pattern 4: Cross-domain Refresh
deleteBenchmark: async (id) => {
await agentEvalService.deleteBenchmark(id);
await get().refreshBenchmarks();
await get().refreshDatasets(id); // related cache invalidated too
};
Migration Guide: useEffect → Store SWR
Before (❌ Wrong)
const TestCaseList = ({ datasetId }: Props) => {
const [data, setData] = useState<any[]>([]);
const [loading, setLoading] = useState(false);
useEffect(() => {
setLoading(true);
lambdaClient.agentEval.listTestCases
.query({ datasetId })
.then((r) => setData(r.data))
.finally(() => setLoading(false));
}, [datasetId]);
return <Table data={data} loading={loading} />;
};
After (✅ Correct)
// 1. Add service method
class AgentEvalService {
async listTestCases(params: { datasetId: string }) {
return lambdaClient.agentEval.listTestCases.query(params);
}
}
// 2. Add store slice hook
export const createTestCaseSlice: StateCreator<...> = (set) => ({
useFetchTestCases: (params) =>
useClientDataSWR(
params.datasetId ? [FETCH_TEST_CASES_KEY, params.datasetId] : null,
() => agentEvalService.listTestCases(params),
{
onSuccess: (data) =>
set({ testCaseList: data.data, isLoadingTestCases: false }),
},
),
});
// 3. Component reads from store
const TestCaseList = ({ datasetId }: Props) => {
const useFetchTestCases = useEvalStore((s) => s.useFetchTestCases);
const data = useEvalStore((s) => s.testCaseList);
const loading = useEvalStore((s) => s.isLoadingTestCases);
useFetchTestCases({ datasetId });
return <Table data={data} loading={loading} />;
};
Troubleshooting
| Symptom | Check |
|---|---|
| Data never loads | Hook called? Key not null/undefined? Network tab shows request? |
| Stale data after mutation | Did refreshXxx run? Cache key matches what the hook uses? |
Loading state stuck true |
onSuccess writes loading=false? Promise rejected silently? |
| Detail map missing an entry | Reducer dispatch ran? isEqual short-circuited on stale data? |
Summary Checklist
When adding new data fetching:
Step 1: Types & State
See store-data-structures for details.
- [ ] Define types in
@lobechat/types: Detail type + List item type - [ ] State structure:
xxxList: XxxListItem[],xxxDetailMap: Record<string, Xxx>,loadingXxxDetailIds: string[] - [ ] Reducer if optimistic updates are needed
Step 2: Service Layer
- [ ] Create service in
src/services/xxxService.ts - [ ] Methods:
listXxx(),getXxx(id),createXxx(),updateXxx(),deleteXxx()
Step 3: Store Actions
- [ ]
initialState.tswith state structure - [ ]
action.tswith:- [ ]
useFetchXxxList(),useFetchXxxDetail(id)— SWR hooks - [ ]
refreshXxxList(),refreshXxxDetail(id)— cache invalidation - [ ] CRUD methods calling service
- [ ]
internal_dispatch,internal_updateLoadingif using reducer
- [ ]
- [ ]
selectors.ts(optional but recommended) - [ ] Integrate slice into main store + initialState
Step 4: Component Usage
- [ ] Use store hooks (NOT useEffect)
- [ ] List pages: access
xxxListarray - [ ] Detail pages: access
xxxDetailMap[id] - [ ] Use loading states for UI feedback
Mental model: Types → Service → Reducer → Slice → Component 🎯
Related Skills
store-data-structures— How to structure List and Detail data in storeszustand— General Zustand patterns and best practices
同梱ファイル
※ ZIPに含まれるファイル一覧。`SKILL.md` 本体に加え、参考資料・サンプル・スクリプトが入っている場合があります。
- 📄 SKILL.md (18,317 bytes)
- 📎 references/walkthrough.md (7,737 bytes)