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wangzhiming1999

State Architecture

by wangzhiming · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
128
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Install in OpenClaw
/install state-architecture
Description
Designs scalable state management architecture for complex frontend apps. Covers store slicing, server vs client state separation, optimistic updates, cross-...
Usage Guidance
This is a documentation-style skill that provides design advice and code snippets for frontend state management; it doesn't install software or request secrets. Before relying on suggested patterns in production, ensure you have the corresponding dependencies (React Query, Zustand, XState, etc.) installed in your project, review and adapt the example code to your app's security model, and audit any third-party libraries you add. Note that, as an agent-invocable skill, the agent could autonomously use these instructions to respond to user queries (normal behavior) — there are no additional privileges or hidden network hooks in the skill itself.
Capability Analysis
Type: OpenClaw Skill Name: state-architecture Version: 1.0.0 The skill bundle provides architectural guidance and code patterns for frontend state management using tools like Zustand, React Query, and XState. The content consists entirely of educational documentation and boilerplate code for state synchronization, optimistic updates, and state machines, with no evidence of malicious intent, data exfiltration, or unauthorized execution.
Capability Assessment
Purpose & Capability
The name/description describe designing state management for frontend apps and the SKILL.md content directly implements that: classification, store slicing, optimistic updates, state machines, and cross-tab sync. It requests no binaries, env vars, or installs—appropriate for a documentation/assistant-style skill.
Instruction Scope
The SKILL.md contains code examples and diagnostic questions centered on state design. It does not instruct the agent to read local files, access system credentials, call external endpoints, or exfiltrate data. All runtime guidance is limited to recommending libraries and patterns (React Query, Zustand, BroadcastChannel, XState) relevant to the stated purpose.
Install Mechanism
No install specification and no code files that execute. Being instruction-only means nothing is written to disk and no external packages are fetched by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. There are no calls in SKILL.md that imply hidden credential use or unrelated service access.
Persistence & Privilege
The skill is not always-enabled and uses default agent invocation behavior. It does not request persistent system privileges or attempt to modify other skills or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install state-architecture
  3. After installation, invoke the skill by name or use /state-architecture
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Publish from oliver-skill repository
Metadata
Slug state-architecture
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is State Architecture?

Designs scalable state management architecture for complex frontend apps. Covers store slicing, server vs client state separation, optimistic updates, cross-... It is an AI Agent Skill for Claude Code / OpenClaw, with 128 downloads so far.

How do I install State Architecture?

Run "/install state-architecture" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is State Architecture free?

Yes, State Architecture is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does State Architecture support?

State Architecture is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created State Architecture?

It is built and maintained by wangzhiming (@wangzhiming1999); the current version is v1.0.0.

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