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graphql-api-implementation

Use when working on GraphQL schemas, resolvers, mutations, subscriptions, and dataloader patterns. Focus on schema clarity, N+1 avoidance, auth boundaries, and client ergonomics.

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Quellinformationen

Repository
Mr-Q526/TeamCC-Platform
Letzte Quellaktivität
15. April 2026 um 03:16
Erkannte Sprache von SKILL.md
Englisch
Sterne
7
Forks
1

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
schemaVersion
2026-04-11T00:00:00.000Z
skillId
backend/graphql-api-implementation
name
graphql-api-implementation
displayName
GraphQL API Implementation
description
Use when working on GraphQL schemas, resolvers, mutations, subscriptions, and dataloader patterns. Focus on schema clarity, N+1 avoidance, auth boundaries, and client ergonomics.
aliases
["graphql-api-implementation","GraphQL API Implementation","graphqlapiimplementation","GraphQL API","resolver","dataloader","N+1 查询","GraphQL","schema","mutation","服务接口","implementation","Graph","QL","服务端","server side","验证"]
version
0.1.0
sourceHash
sha256:8d2f99fde0531969ac50bb034abca5289c6b120837c0a8cd7fe18c798f6a6512
domain
backend
departmentTags
["backend-platform"]
sceneTags
["architecture","test"]
# GraphQL API Implementation Use this skill when the task involves GraphQL schemas, resolvers, mutations, subscriptions, and dataloader patterns. Goal: produce reliable engineering guidance and implementation steps focused on schema clarity, N+1 avoidance, auth boundaries, and client ergonomics. ## Working model 1. Identify the affected system, data, users, and failure modes. 2. Define invariants, inputs, outputs, ownership, and rollback needs. 3. Prefer small, auditable changes with explicit validation. 4. Call out security, performance, concurrency, and data-loss risks when relevant. 5. Finish with concrete verification steps and residual risks. ## Rules - Ground recommendations in the current codebase or runtime evidence. - Prefer explicit contracts, typed boundaries, and defensive validation. - Do not hide operational concerns behind generic best practices. - Include negative cases, edge cases, and failure behavior. - For review tasks, list findings first with file and line references when possible. - For test or performance tasks, define the workload, success criteria, and measurement method. ## Checklist - Are assumptions and ownership boundaries explicit? - Are risky changes reversible or safely deployable? - Are observability and diagnostics sufficient for production issues? - Are tests or validation steps targeted to the actual risk? - Are security and data-integrity concerns addressed?
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