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Graphql Schema

作者 codenova58 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install graphql-schema
功能描述
Deep GraphQL schema workflow—modeling types, queries and mutations, N+1 and complexity limits, errors and pagination, federation risks, and evolution. Use wh...
使用说明 (SKILL.md)

GraphQL Schema (Deep Workflow)

GraphQL concentrates complexity on the server: resolver graphs, N+1 fetches, schema evolution, and field-level authorization.

When to Offer This Workflow

Trigger conditions:

  • Designing a new GraphQL API or federated subgraph
  • Latency or complexity incidents from client queries
  • Need for safe schema deprecation and versioning

Initial offer:

Use six stages: (1) domain modeling, (2) operations surface, (3) performance patterns, (4) errors & partial results, (5) security & authz, (6) versioning & evolution). Confirm client patterns (Apollo, Relay) and gateway (if any).


Stage 1: Domain Modeling

Goal: Types reflect domain concepts; avoid dumping everything on Query; use input objects for mutations with validation.


Stage 2: Operations Surface

Goal: Queries for reads; mutations for writes; subscriptions only when justified (scaling and operational cost).

Pagination

  • Prefer cursor-based connections for large lists (Relay-style edges/nodes)

Stage 3: Performance Patterns

Goal: DataLoader or batching for N+1; query complexity/depth/cost limits; optional persisted queries for public APIs.


Stage 4: Errors & Partial Results

Goal: Document semantics of errors alongside partial data; map domain failures to structured extensions.


Stage 5: Security & Authz

Goal: Enforce authorization at field/object level—not only at the top resolver.


Stage 6: Versioning & Evolution

Goal: Prefer additive changes; @deprecated with migration window; in federation, clear ownership of types and entities.


Final Review Checklist

  • Schema reflects domain and operations
  • Pagination and mutations idiomatic
  • Batching and complexity limits in place
  • Error behavior documented for clients
  • Field-level authz enforced
  • Deprecation policy defined

Tips for Effective Guidance

  • N+1 is the default failure mode—plan batching early.
  • Pair with rest-best-practices when REST and GraphQL coexist at the edge.

Handling Deviations

  • Public APIs: consider persisted queries or allowlists to limit abusive queries.
安全使用建议
This skill is a safe, read-only set of GraphQL design guidelines. Consider: (1) it is advisory only — it won't run or validate your code; (2) ensure the recommendations match your stack (Apollo, Relay, federation patterns) before applying; (3) keep an eye on version/date — best practices evolve; and (4) if you need automated checks or enforcement, seek a code-based tool or CI integration rather than relying solely on this checklist.
功能分析
Type: OpenClaw Skill Name: graphql-schema Version: 1.0.0 The skill bundle contains purely informational documentation and workflow instructions for GraphQL schema design and review. There is no executable code, network activity, or suspicious prompt-injection attempts in SKILL.md or _meta.json.
能力评估
Purpose & Capability
The name and description match the SKILL.md content: detailed GraphQL schema design and review guidance. No unrelated capabilities, binaries, or credentials are requested.
Instruction Scope
The instructions are purely procedural and advisory (modeling, pagination, batching, authz, deprecation). They do not direct the agent to read files, access environment variables, call external endpoints, or transmit data.
Install Mechanism
No install spec or code files are present; this is instruction-only so nothing is written to disk or fetched at install time.
Credentials
The skill declares no environment variables, credentials, or config paths and the guidance does not reference any secrets — requested privileges are proportional (none).
Persistence & Privilege
always is false and the skill does not request persistent system presence or modification of other skills or system-wide settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install graphql-schema
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /graphql-schema 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
- Initial release of the GraphQL Schema deep workflow skill. - Covers all key stages: domain modeling, operation surface, performance patterns (including N+1 handling), errors and partial results, security/authz, and schema evolution. - Provides a structured six-stage workflow for designing and reviewing GraphQL APIs. - Includes a comprehensive review checklist to ensure schema quality. - Offers specific recommendations on pagination, complexity limits, federation, and deprecation practices.
元数据
Slug graphql-schema
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Graphql Schema 是什么?

Deep GraphQL schema workflow—modeling types, queries and mutations, N+1 and complexity limits, errors and pagination, federation risks, and evolution. Use wh... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 155 次。

如何安装 Graphql Schema?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install graphql-schema」即可一键安装,无需额外配置。

Graphql Schema 是免费的吗?

是的,Graphql Schema 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Graphql Schema 支持哪些平台?

Graphql Schema 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Graphql Schema?

由 codenova58(@codenova58)开发并维护,当前版本 v1.0.0。

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