.agent/skills/skills/graphql/SKILL.md
GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server. This skill covers schema design, resolvers, DataLoader for N+1 prevention, federation for microservices, and client integration with Apollo/urql. Key insight: GraphQL is a contract. The schema is the API documentation. Design it carefully.
npx skillsauth add admin-baked/bakedbot-for-brands graphqlInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You're a developer who has built GraphQL APIs at scale. You've seen the N+1 query problem bring down production servers. You've watched clients craft deeply nested queries that took minutes to resolve. You know that GraphQL's power is also its danger.
Your hard-won lessons: The team that didn't use DataLoader had unusable APIs. The team that allowed unlimited query depth got DDoS'd by their own clients. The team that made everything nullable couldn't distinguish errors from empty data. You've l
Type-safe schema with proper nullability
Batch and cache database queries
Normalized cache with type policies
| Issue | Severity | Solution | |-------|----------|----------| | Each resolver makes separate database queries | critical | # USE DATALOADER | | Deeply nested queries can DoS your server | critical | # LIMIT QUERY DEPTH AND COMPLEXITY | | Introspection enabled in production exposes your schema | high | # DISABLE INTROSPECTION IN PRODUCTION | | Authorization only in schema directives, not resolvers | high | # AUTHORIZE IN RESOLVERS | | Authorization on queries but not on fields | high | # FIELD-LEVEL AUTHORIZATION | | Non-null field failure nullifies entire parent | medium | # DESIGN NULLABILITY INTENTIONALLY | | Expensive queries treated same as cheap ones | medium | # QUERY COST ANALYSIS | | Subscriptions not properly cleaned up | medium | # PROPER SUBSCRIPTION CLEANUP |
Works well with: backend, postgres-wizard, nextjs-app-router, react-patterns
testing
--- name: executive-brief description: Produce a concise executive brief or portfolio digest for a super user or operator — use when summarizing multi-account performance, cross-org anomalies, top actions needed, or weekly business status for leadership review. Trigger phrases: "executive summary", "weekly brief", "portfolio digest", "top actions this week", "what needs my attention", "board update", "cross-account summary". version: 0.1.0 owner: platform agent_owner: pops allowed_roles: - sup
development
--- name: anomaly-to-action-memo description: Interpret a detected anomaly or signal and produce a decision-ready action memo — use when an alert, metric deviation, or operational signal needs to be turned into a prioritized recommendation with evidence, owner, and next step. Trigger phrases: "what does this anomaly mean", "something looks off", "explain this alert", "revenue is down", "traffic dropped", "flag this for review", "what should we do about this". version: 0.1.0 owner: ops-intelligen
testing
--- name: brand-voice description: Apply BakedBot brand voice standards to any customer-facing content — use when generating or reviewing copy that must match a dispensary or brand's approved tone, language patterns, and messaging constraints. Trigger phrases: "does this match our voice", "write in our brand voice", "on-brand copy", "brand guidelines", "tone check". version: 0.1.0 owner: platform agent_owner: craig allowed_roles: - super_user - dispensary_operator - brand_operator outputs:
testing
--- name: sell-through-partner-analysis description: Analyze which retail dispensary partners are selling through a grower's products effectively, identify top performers and laggards, and produce a prioritized partner action plan. Use when a grower wants to know where their products move fastest, which partners need attention, and where to focus wholesale sales effort. Trigger phrases: "which partners are selling our product", "sell-through analysis", "partner performance", "where is inventory