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codenova58

Graphql Schema

by codenova58 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install graphql-schema
Description
Deep GraphQL schema workflow—modeling types, queries and mutations, N+1 and complexity limits, errors and pagination, federation risks, and evolution. Use wh...
README (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.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install graphql-schema
  3. After installation, invoke the skill by name or use /graphql-schema
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug graphql-schema
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Graphql Schema?

Deep GraphQL schema workflow—modeling types, queries and mutations, N+1 and complexity limits, errors and pagination, federation risks, and evolution. Use wh... It is an AI Agent Skill for Claude Code / OpenClaw, with 155 downloads so far.

How do I install Graphql Schema?

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

Is Graphql Schema free?

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

Which platforms does Graphql Schema support?

Graphql Schema is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Graphql Schema?

It is built and maintained by codenova58 (@codenova58); the current version is v1.0.0.

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