Agent skill

LobeHub Data Fetching Layers

by lobehub in lobehub/lobehub

Explains how LobeHub client code fetches data through services, SWR store hooks and cache keys, and when to avoid useEffect fetching or duplicated state.

Custom licenceAuto-check passedFrontend & Design

Install LobeHub Data Fetching Layers

skills CLI
$ npx skills add lobehub/lobehub --skill data-fetching-architecture -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install lobehub/lobehub data-fetching-architecture --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/lobehub/lobehub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/data-fetching-architecture .claude/skills/data-fetching-architecture && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
data-fetching-architecture
GitHub stars
83k
Token cost
~1.7k tokens
SKILL.md length
755 words
Files
3 (incl. references)
Skills in repo
50
Repo updated
First seen
Licence
Custom licence

At a glance

Explains how LobeHub client code fetches data through services, SWR store hooks and cache keys, and when to avoid useEffect fetching or duplicated state.

  • Adding a client API call with an SWR hook in the LobeHub codebase
  • SKILL.md covers Layer boundaries, Home First Paint and…, Cache keys and refresh and Mutations, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Migrating a useEffect fetch to the store hook pattern

What it does

Data flows from a component to a store hook named `useFetchXxx`, through a service, to `lambdaClient`, and back as SWR request state plus store data. Services in `src/services/` own the API calls (`.query()` for reads, `.mutate()` for writes), one instance per domain, and components and stores never call `lambdaClient` directly.

Store read hooks use `useClientDataSWR`, return the SWR response with `error` and `mutate`, and copy successful results into the store through the wrapper's callback. Components read through selectors and never fetch in `useEffect` or mirror server data in `useState`. Cache invalidation uses `refreshXxx` hooks, and keys come from the domain factory in `src/libs/swr/keys.ts`, including every parameter that changes the response so reads and refreshes build the same key. A `null` key is returned when a required id is missing.

A separate reference covers home and sidebar first paint: avoiding flicker, reusing persistence and the user `displaySnapshot.ts` boundary. Zustand data-structure and action guidance is delegated to the zustand skill.

When your agent uses it

  • Adding a client API call with an SWR hook in the LobeHub codebase
  • Migrating a useEffect fetch to the store hook pattern
  • Fixing cache invalidation or mismatched SWR keys
  • Changing home or sidebar first paint or persisted display data

Example prompts

  • “Add a useFetchBenchmarks hook backed by a service, and sync the result into the eval store.”
  • “This component fetches in useEffect and keeps a copy in useState; migrate it to the store hook pattern.”
  • “The list does not refresh after creating an item, so check that the refresh call uses the same SWR key.”

Requirements

  • A checkout of the LobeHub repository

What it can do on your machine

Read from SKILL.md and the folder at commit 35d442e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

LobeHub Data Fetching Layers loads about 1.7k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 38 tokens; SKILL.md has 755 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 755 words (~1,659 tokens).

“Export a service instance per domain; components and stores do not call lambdaClient directly.”

— opening of SKILL.md by lobehub, Custom licence
name
data-fetching-architecture
user-invocable
false

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in .agents/skills/data-fetching-architecture of lobehub/lobehub.

  • SKILL.md
  • references/home-first-paint.md
  • references/walkthrough.md

Open the folder on GitHubat commit 35d442e

Compare with similar skills

LobeHub Data Fetching Layers next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

LobeHub Data Fetching Layers compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
LobeHub Data Fetching Layers this skilllobehub/lobehub83k—~1.7kAutomated safety check: PassCustom licence
React ExpertJeffallan/claude-skills12k—~1.4kAutomated safety check: PassMIT
Nextjs15 Initbear2u/my-skills933—~2.4kAutomated safety check: PassNone
Angular ArchitectJeffallan/claude-skills12k—~1.5kAutomated safety check: PassMIT
Frontend UI Patternsbiersoeckli/QuickStack361—~704Automated safety check: PassGPL-3.0
Angular Idioms and Patternsirahardianto/awesome-agv157—~3.8kAutomated safety check: PassMIT

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  • Guides building LobeHub builtin agent tools, from the manifest and execution runtime to executors, chat UI renders and registry wiring.

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Questions about LobeHub Data Fetching Layers

What does LobeHub Data Fetching Layers do?

Explains how LobeHub client code fetches data through services, SWR store hooks and cache keys, and when to avoid useEffect fetching or duplicated state. Data flows from a component to a store hook named `useFetchXxx`, through a service, to `lambdaClient`, and back as SWR request state plus store data.mutate()` for writes), one instance per domain, and components and stores never call `lambdaClient` directly.

When should I use LobeHub Data Fetching Layers?

LobeHub Data Fetching Layers fits situations like: adding a client API call with an SWR hook in the LobeHub codebase; migrating a useEffect fetch to the store hook pattern; fixing cache invalidation or mismatched SWR keys; changing home or sidebar first paint or persisted display data.

How do I install LobeHub Data Fetching Layers in Claude Code?

Run `npx skills add lobehub/lobehub --skill data-fetching-architecture -a claude-code`. Or copy the skill folder (.agents/skills/data-fetching-architecture in lobehub/lobehub) into .claude/skills/data-fetching-architecture in your project. Claude Code loads it when a task matches its description.

How do I install LobeHub Data Fetching Layers in Codex?

Run `npx skills add lobehub/lobehub --skill data-fetching-architecture -a codex`. Or copy the skill folder (.agents/skills/data-fetching-architecture in lobehub/lobehub) into .agents/skills/data-fetching-architecture in your project. Codex loads it when a task matches its description.

Can I use LobeHub Data Fetching Layers in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lobehub/lobehub --skill data-fetching-architecture -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-fetching-architecture, .gemini/skills/data-fetching-architecture, .github/skills/data-fetching-architecture and .opencode/skills/data-fetching-architecture in your project.

What does LobeHub Data Fetching Layers need to run?

SKILL.md names no scripts, command-line tools or credentials: LobeHub Data Fetching Layers is instructions for the agent only. Our summary lists: A checkout of the LobeHub repository.

Does LobeHub Data Fetching Layers access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is LobeHub Data Fetching Layers safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does LobeHub Data Fetching Layers use?

LobeHub Data Fetching Layers has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does LobeHub Data Fetching Layers use?

About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.9k tokens, read only when the agent opens those files.

What are the alternatives to LobeHub Data Fetching Layers?

Skills that share tags, products or a category with LobeHub Data Fetching Layers: React Expert (Jeffallan/claude-skills, 12k stars), Nextjs15 Init (bear2u/my-skills, 933 stars), Angular Architect (Jeffallan/claude-skills, 12k stars) and Frontend UI Patterns (biersoeckli/QuickStack, 361 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains LobeHub Data Fetching Layers?

lobehub (a GitHub organization) maintains it in lobehub/lobehub, which has 83,074 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on October 9, 2026.

Source: lobehub/lobehub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.