absinthe-schema
Use when designing GraphQL schemas with Absinthe. Covers type definitions, interfaces, unions, enums, and schema organization patterns.
What this skill does
# Absinthe - Schema Design
Comprehensive guide to designing GraphQL schemas with Absinthe in Elixir.
## Key Concepts
### Type Definitions
```elixir
defmodule MyApp.Schema.Types do
use Absinthe.Schema.Notation
object :user do
field :id, non_null(:id)
field :name, non_null(:string)
field :email, :string
field :posts, list_of(:post) do
resolve &MyApp.Resolvers.User.posts/3
end
field :inserted_at, :datetime
end
object :post do
field :id, non_null(:id)
field :title, non_null(:string)
field :body, :string
field :author, :user do
resolve &MyApp.Resolvers.Post.author/3
end
end
end
```
### Interfaces
```elixir
interface :node do
field :id, non_null(:id)
resolve_type fn
%MyApp.User{}, _ -> :user
%MyApp.Post{}, _ -> :post
_, _ -> nil
end
end
object :user do
interface :node
field :id, non_null(:id)
field :name, non_null(:string)
end
```
### Unions
```elixir
union :search_result do
types [:user, :post, :comment]
resolve_type fn
%MyApp.User{}, _ -> :user
%MyApp.Post{}, _ -> :post
%MyApp.Comment{}, _ -> :comment
_, _ -> nil
end
end
```
### Enums
```elixir
enum :post_status do
value :draft, as: "draft"
value :published, as: "published"
value :archived, as: "archived"
end
```
### Input Objects
```elixir
input_object :create_post_input do
field :title, non_null(:string)
field :body, :string
field :status, :post_status, default_value: :draft
end
```
## Best Practices
1. **Organize types by domain** - Group related types in separate modules
2. **Use non_null sparingly** - Only for truly required fields
3. **Leverage interfaces** - For shared fields across types
4. **Define input objects** - For complex mutation arguments
5. **Use custom scalars** - For dates, UUIDs, JSON, etc.
## Schema Organization
```elixir
defmodule MyApp.Schema do
use Absinthe.Schema
import_types MyApp.Schema.Types
import_types MyApp.Schema.Queries
import_types MyApp.Schema.Mutations
import_types MyApp.Schema.Subscriptions
import_types Absinthe.Type.Custom # DateTime, etc.
query do
import_fields :user_queries
import_fields :post_queries
end
mutation do
import_fields :user_mutations
import_fields :post_mutations
end
subscription do
import_fields :post_subscriptions
end
end
```
## Custom Scalars
```elixir
scalar :uuid, name: "UUID" do
serialize &to_string/1
parse &parse_uuid/1
end
defp parse_uuid(%Absinthe.Blueprint.Input.String{value: value}) do
case Ecto.UUID.cast(value) do
{:ok, uuid} -> {:ok, uuid}
:error -> :error
end
end
defp parse_uuid(_), do: :error
```
## Anti-Patterns
- Avoid deeply nested types without pagination
- Don't expose database IDs directly without consideration
- Avoid circular dependencies in type definitions
- Don't skip field descriptions for documentation
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.