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Skills/lobehub/lobehub/data-fetching
data-fetching logo

data-fetching

lobehub/lobehub
811 installs79K stars
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Installation

npx skills add https://github.com/lobehub/lobehub --skill data-fetching

Summary

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.

SKILL.md

LobeHub Data Fetching Architecture

Related: store-data-structures covers 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

  1. Use Service Layer for all API calls
  2. Use Store SWR Hooks for data fetching (not useEffect)
  3. Use proper data structures — see store-data-structures skill for List vs Detail patterns
  4. Use lambdaClient.mutate for write operations (create/update/delete)
  5. Use lambdaClient.query only inside service methods
  6. Naming convention — read hooks are useFetchXxx, cache invalidation helpers are refreshXxx (e.g. useFetchBenchmarks / refreshBenchmarks). Mutations then chain refreshXxx() after the service call.

❌ DON'T

  1. Never use useEffect for data fetching
  2. Never call lambdaClient directly in components or stores
  3. Never use useState for server data
  4. Never mix data structure patterns — follow store-data-structures skill

---

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

  1. One service per domain (e.g., agentEval, ragEval, aiAgent)
  2. Export singleton instance (export const xxxService = new XxxService())
  3. Method names match operations (list, get, create, update, delete)
  4. 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-structures skill.

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

  1. SWR keys as constants at top of file
  2. useClientDataSWR for all data fetching (never useEffect)
  3. onSuccess callback updates store state
  4. Refresh methods use mutate() to invalidate cache
  5. Loading states in initialState, updated in onSuccess
  6. 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

SymptomCheck
Data never loadsHook called? Key not null/undefined? Network tab shows request?
Stale data after mutationDid refreshXxx run? Cache key matches what the hook uses?
Loading state stuck trueonSuccess writes loading=false? Promise rejected silently?
Detail map missing an entryReducer 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.ts with state structure
  • [ ] action.ts with:
  • [ ] useFetchXxxList(), useFetchXxxDetail(id) — SWR hooks
  • [ ] refreshXxxList(), refreshXxxDetail(id) — cache invalidation
  • [ ] CRUD methods calling service
  • [ ] internal_dispatch, internal_updateLoading if 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 xxxList array
  • [ ] 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 stores
  • zustand — General Zustand patterns and best practices

Score

0–100
65/ 100

Grade

C

Popularity17/30

811 installs — growing adoption. Source repo has 78,668 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Data Fetching skill score badge previewScore badge

Markdown

[![Data Fetching skill](https://www.claudemarket.ai/skills/lobehub/lobehub/data-fetching/badges/score.svg)](https://www.claudemarket.ai/skills/lobehub/lobehub/data-fetching)

HTML

<a href="https://www.claudemarket.ai/skills/lobehub/lobehub/data-fetching"><img src="https://www.claudemarket.ai/skills/lobehub/lobehub/data-fetching/badges/score.svg" alt="Data Fetching skill"/></a>

Data Fetching FAQ

How do I install the Data Fetching skill?

Run “npx skills add https://github.com/lobehub/lobehub --skill data-fetching” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Data Fetching skill do?

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. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Data Fetching skill free?

Yes. Data Fetching is a free, open-source skill published from lobehub/lobehub. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Data Fetching work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Data Fetching works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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