feat(skills): restore 60 bundled skills (#42)

* feat(skills): restore ansible skill

* feat(skills): restore api-tester skill

* feat(skills): restore aws skill

* feat(skills): restore azure skill

* feat(skills): restore ci-cd skill

* feat(skills): restore code-reviewer skill

* feat(skills): restore compliance skill

* feat(skills): restore confluence skill

* feat(skills): restore crypto-expert skill

* feat(skills): restore css-expert skill

* feat(skills): restore data-analyst skill

* feat(skills): restore data-pipeline skill

* feat(skills): restore docker skill

* feat(skills): restore elasticsearch skill

* feat(skills): restore email-writer skill

* feat(skills): restore figma-expert skill

* feat(skills): restore gcp skill

* feat(skills): restore git-expert skill

* feat(skills): restore github skill

* feat(skills): restore golang-expert skill

* feat(skills): restore graphql-expert skill

* feat(skills): restore helm skill

* feat(skills): restore interview-prep skill

* feat(skills): restore jira skill

* feat(skills): restore kubernetes skill

* feat(skills): restore linear-tools skill

* feat(skills): restore linux-networking skill

* feat(skills): restore llm-finetuning skill

* feat(skills): restore ml-engineer skill

* feat(skills): restore mongodb skill

* feat(skills): restore nextjs-expert skill

* feat(skills): restore nginx skill

* feat(skills): restore notion skill

* feat(skills): restore oauth-expert skill

* feat(skills): restore openapi-expert skill

* feat(skills): restore pdf-reader skill

* feat(skills): restore postgres-expert skill

* feat(skills): restore presentation skill

* feat(skills): restore project-manager skill

* feat(skills): restore prometheus skill

* feat(skills): restore prompt-engineer skill

* feat(skills): restore python-expert skill

* feat(skills): restore react-expert skill

* feat(skills): restore redis-expert skill

* feat(skills): restore regex-expert skill

* feat(skills): restore rust-expert skill

* feat(skills): restore security-audit skill

* feat(skills): restore sentry skill

* feat(skills): restore shell-scripting skill

* feat(skills): restore slack-tools skill

* feat(skills): restore sql-analyst skill

* feat(skills): restore sqlite-expert skill

* feat(skills): restore sysadmin skill

* feat(skills): restore technical-writer skill

* feat(skills): restore terraform skill

* feat(skills): restore typescript-expert skill

* feat(skills): restore vector-db skill

* feat(skills): restore wasm-expert skill

* feat(skills): restore web-search skill

* feat(skills): restore writing-coach skill

skills/graphql-expert/SKILL.md

@@ -0,0 +1,39 @@
+---
+name: graphql-expert
+description: "GraphQL expert for schema design, resolvers, subscriptions, and performance optimization"
+---
+# GraphQL Expert
+
+A backend API architect with deep expertise in GraphQL schema design, resolver implementation, real-time subscriptions, and query performance optimization. This skill provides guidance for building robust, well-typed GraphQL APIs that scale efficiently while maintaining an excellent developer experience for API consumers.
+
+## Key Principles
+
+- Design schemas around the domain model, not the database schema; GraphQL types should represent business concepts with clear relationships
+- Use input types for mutations and keep query arguments minimal; complex filtering belongs in dedicated input types
+- Prevent the N+1 query problem proactively by implementing DataLoader patterns for every resolver that accesses a data source
+- Treat the schema as a contract; use deprecation directives before removing fields and version through additive changes rather than breaking ones
+- Enforce query complexity limits and depth restrictions at the server level to prevent abusive or accidentally expensive queries
+
+## Techniques
+
+- Define types with clear nullability: non-null (String!) for required fields, nullable for fields that may genuinely be absent
+- Implement resolvers that return promises and batch data access; use DataLoader to batch and cache database calls within a single request
+- Set up subscriptions over WebSocket (graphql-ws protocol) with proper connection lifecycle handling (init, ack, keep-alive, terminate)
+- Use fragments to share field selections across queries and reduce duplication in client-side code
+- Apply custom directives (@auth, @deprecated, @cacheControl) for cross-cutting concerns like authorization and cache hints
+- Implement cursor-based pagination following the Relay connection specification (edges, nodes, pageInfo with hasNextPage and endCursor)
+- Structure error responses with extensions field for error codes and machine-readable metadata alongside human-readable messages
+
+## Common Patterns
+
+- **Schema Federation**: Split a monolithic schema into domain-specific subgraphs that compose into a unified supergraph via a gateway, enabling independent team ownership
+- **Persisted Queries**: Hash and store approved queries server-side; clients send only the hash, reducing bandwidth and preventing arbitrary query execution
+- **Optimistic UI Updates**: Design mutations to return the mutated object so clients can update their local cache immediately without a refetch
+- **Batch Mutations**: Accept arrays in input types for bulk operations while returning per-item results with success/failure status for each entry
+
+## Pitfalls to Avoid
+
+- Do not expose raw database IDs as the primary identifier; use opaque, globally unique IDs (base64 encoded type:id) for Relay compatibility
+- Do not nest resolvers deeply without complexity analysis; a query requesting 5 levels of nested connections can explode into millions of database rows
+- Do not return generic error strings; structure errors with codes, paths, and extensions so clients can programmatically handle different failure modes
+- Do not skip input validation in resolvers; even though the schema enforces types, business rules like max lengths and allowed values need explicit checks