agents-inc/skills/src/skills/api-database-edgedb/SKILL.md
api-database-edgedb
Graph-relational database with EdgeQL query language, code-first schema, link-based relations, computed properties, and fully typed TypeScript query builder
- Source repository stars
- 23
- Declared platforms
- 0
- Static risk flags
- 1
- Last source update
- 2026-08-09
- Source checked
- 2026-08-28
Decision brief
What it does: where it fits
Quick Guide: Gel (formerly EdgeDB) is a graph-relational database built on PostgreSQL. Define schemas in .gel files using SDL with types, links, and computed properties. Use gel migration create + gel migrate for schema changes. Query with EdgeQL (set-based, deeply nested shapes…
Not for
- Tasks that require unconfirmed production actions or broad system permissions.
- Environments where the pinned source and install steps cannot be inspected.
Compatibility matrix
Platform support, with evidence labels
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
Inspect first. Install second.
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/agents-inc/skills --skill "src/skills/api-database-edgedb"Inspect the Agent Skill "api-database-edgedb" from https://github.com/agents-inc/skills/blob/81d43a51211aca12c85dcc16085fa99014ec548e/src/skills/api-database-edgedb/SKILL.md at commit 81d43a51211aca12c85dcc16085fa99014ec548e. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
What the source asks the agent to do
- 01
Pattern 1: Client Setup
Create a client with createClient(). Connection details are auto-discovered from gel.toml (or edgedb.toml) or environment variables.
Create a client with createClient(). Connection details are auto-discovered from gel.toml (or edgedb.toml) or environment variables.Choose the right query method by expected cardinality: query() for sets, querySingle() for optional single, queryRequiredSingle() when result is guaranteed, execute() for side-effect-only statements. See examples/core.m… - 02
CRITICAL: Before Using This Skill
All code must follow project conventions in CLAUDE.md (kebab-case, named exports, import ordering, import type, named constants)
Defining graph-relational schemas with types, links, and computed propertiesWriting type-safe queries with EdgeQL or the TypeScript query builderManaging schema migrations with the built-in migration system - 03
Philosophy
Gel is a graph-relational database. It combines the relational model (tables, constraints, ACID) with a graph model (links between objects, deep traversal). The core idea: relationships are first-class citizens, not join tables.
Schema is the source of truth -- Define everything in .gel files (or .esdl for legacy projects). Migrations are auto-generated by comparing your schema files against the database state.Links over foreign keys -- Use link to connect types. Gel handles the underlying foreign keys. You never write JOIN -- you traverse links with dot notation.Sets everywhere -- Every value in EdgeQL is a set. A single string is a set of one element. This is the most important mental model shift from SQL. - 04
Core Patterns
Create a client with createClient(). Connection details are auto-discovered from gel.toml (or edgedb.toml) or environment variables.
Create a client with createClient(). Connection details are auto-discovered from gel.toml (or edgedb.toml) or environment variables.Choose the right query method by expected cardinality: query() for sets, querySingle() for optional single, queryRequiredSingle() when result is guaranteed, execute() for side-effect-only statements. See examples/core.m…Schemas live in dbschema/.gel files (or .esdl for legacy projects). Use required for non-null, link for relationships, constraint exclusive for uniqueness, computed backlinks (.<author[is Post]) for reverse traversal. - 05
Pattern 2: Schema Definition (SDL)
Schemas live in dbschema/.gel files (or .esdl for legacy projects). Use required for non-null, link for relationships, constraint exclusive for uniqueness, computed backlinks (.<author[is Post]) for reverse traversal.
Schemas live in dbschema/.gel files (or .esdl for legacy projects). Use required for non-null, link for relationships, constraint exclusive for uniqueness, computed backlinks (.<author[is Post]) for reverse traversal.
Permission review
Static risk signals and limitations
Runs scripts
The documentation asks the agent to run terminal commands or scripts.
npx @gel/generate edgeql-js # regenerate query builderEvidence record
Why each signal appears
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 91/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 23 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Provenance and original SKILL.md
- Repository
- agents-inc/skills
- Skill path
- src/skills/api-database-edgedb/SKILL.md
- Commit
- 81d43a51211aca12c85dcc16085fa99014ec548e
- License
- MIT
- Collected
- 2026-08-28
- Default branch
- main
View the original SKILL.md
Gel (formerly EdgeDB) Patterns
Quick Guide: Gel (formerly EdgeDB) is a graph-relational database built on PostgreSQL. Define schemas in
.gelfiles using SDL with types, links, and computed properties. Usegel migration create+gel migratefor schema changes. Query with EdgeQL (set-based, deeply nested shapes) or the TypeScript query builder (e.select,e.insert). Everything in EdgeQL is a set -- empty sets need explicit casts, and operations on sets produce Cartesian products. Useglobalvariables with access policies for row-level security. The query builder requires a running database for code generation (npx @gel/generate edgeql-js).Naming: EdgeDB was rebranded to Gel in February 2025. The
edgedbnpm package, CLI, and.esdlextension still work via compatibility shims, but new projects should usegel,@gel/generate, and.gelfiles.
<critical_requirements>
CRITICAL: Before Using This Skill
All code must follow project conventions in CLAUDE.md (kebab-case, named exports, import ordering,
import type, named constants)
(You MUST run npx @gel/generate edgeql-js after every gel migrate -- the generated query builder is based on the database schema and becomes stale after migrations)
(You MUST cast empty sets explicitly (<str>{}, <int64>{}) -- bare {} is a syntax error because EdgeQL is strongly typed and cannot infer the type of an empty set)
(You MUST understand that all EdgeQL values are sets -- operations on multi-valued expressions produce Cartesian products, not element-wise results)
(You MUST pass the transaction object tx (not client) to ALL query .run() calls inside client.transaction() -- using client inside a transaction runs queries outside the transaction)
(You MUST NOT use volatile functions like datetime_current() in schema-defined computed properties -- use datetime_of_transaction() or datetime_of_statement() instead)
</critical_requirements>
Auto-detection: Gel, gel, EdgeDB, edgedb, EdgeQL, edgeql, .gel, .esdl, dbschema, edgeql-js, createClient, e.select, e.insert, e.update, e.delete, e.params, gel migrate, gel migration, edgedb migrate, SDL schema, backlink, access policy, gel.toml, edgedb.toml
When to use:
- Defining graph-relational schemas with types, links, and computed properties
- Writing type-safe queries with EdgeQL or the TypeScript query builder
- Managing schema migrations with the built-in migration system
- Modeling complex relationships (multi links, backlinks, polymorphism)
- Implementing row-level security with access policies and globals
Key patterns covered:
- Client setup and connection (
createClient, DSN, environment variables) - Schema definition in SDL (types, properties, links, constraints, computed)
- EdgeQL query language (SELECT shapes, INSERT, UPDATE, DELETE)
- TypeScript query builder (
e.select,e.insert,e.update,e.delete) - Migrations workflow (
gel migration create,gel migrate)
When NOT to use:
- Simple key-value storage (use a dedicated key-value store)
- Projects that need raw SQL as the primary interface (Gel uses EdgeQL; Gel 6+ adds native SQL support but EdgeQL is the primary interface)
- Environments where you cannot run the Gel server (it is not an embedded database)
Detailed Resources:
- For decision frameworks and quick reference, see reference.md
Core Patterns:
- examples/core.md - Client setup, schema definition, EdgeQL basics, migration workflow
Query Builder:
- examples/query-builder.md - TypeScript query builder (e.select, e.insert, e.update, e.delete, e.params)
Advanced Schema:
- examples/advanced-schema.md - Access policies, backlinks, abstract types, polymorphism, triggers
Philosophy
Gel is a graph-relational database. It combines the relational model (tables, constraints, ACID) with a graph model (links between objects, deep traversal). The core idea: relationships are first-class citizens, not join tables.
Core principles:
- Schema is the source of truth -- Define everything in
.gelfiles (or.esdlfor legacy projects). Migrations are auto-generated by comparing your schema files against the database state. - Links over foreign keys -- Use
linkto connect types. Gel handles the underlying foreign keys. You never write JOIN -- you traverse links with dot notation. - Sets everywhere -- Every value in EdgeQL is a set. A single string is a set of one element. This is the most important mental model shift from SQL.
- Shapes for projection -- SELECT returns structured, nested objects (like GraphQL responses), not flat rows. You specify the "shape" of what you want.
- Computed properties are views -- Computed properties and links are not stored; they are evaluated on every query. Use them for derived data.
- Query builder for TypeScript -- The generated query builder provides compile-time type safety. Prefer it over raw EdgeQL strings in TypeScript projects.
When to use Gel:
- Applications with complex, deeply nested relationships (social graphs, content systems, e-commerce)
- Projects that benefit from graph-style traversals without sacrificing relational integrity
- TypeScript projects that want compile-time type-safe database queries
- Teams that want automatic migration generation from schema changes
When NOT to use:
- Existing projects locked into raw PostgreSQL with extensive stored procedures
- Applications where SQL compatibility is the only acceptable query language (Gel 6+ has native SQL support, but EdgeQL is the primary interface)
- Environments that cannot run the Gel server process
Core Patterns
Pattern 1: Client Setup
Create a client with createClient(). Connection details are auto-discovered from gel.toml (or edgedb.toml) or environment variables.
import { createClient } from "gel";
const client = createClient(); // auto-discovers from project config
export { client };
Choose the right query method by expected cardinality: query() for sets, querySingle() for optional single, queryRequiredSingle() when result is guaranteed, execute() for side-effect-only statements. See examples/core.md for full client setup patterns.
Pattern 2: Schema Definition (SDL)
Schemas live in dbschema/*.gel files (or *.esdl for legacy projects). Use required for non-null, link for relationships, constraint exclusive for uniqueness, computed backlinks (.<author[is Post]) for reverse traversal.
# dbschema/default.gel
module default {
type User {
required name: str;
required email: str { constraint exclusive; };
multi posts := .<author[is Post]; # computed backlink
}
type Post {
required title: str;
required author: User; # link, not uuid!
}
}
Key rule: Always use link for relationships -- never raw uuid properties. See examples/core.md for complete schema patterns with constraints, indexes, and enums.
Pattern 3: EdgeQL Queries
SELECT uses shapes for projection (like GraphQL), INSERT assigns links via subqueries, UPDATE uses +=/-=/:= for multi link manipulation.
select User {
name, email,
posts: { title, status } filter .status = Status.published,
} filter .email = '[email protected]';
See examples/core.md for SELECT/INSERT/UPDATE/DELETE patterns and parameterized queries.
Pattern 4: Migrations
Gel compares your .gel files against the database and auto-generates migrations.
gel migration create # generate migration from schema diff (interactive)
gel migrate # apply pending migrations (idempotent)
npx @gel/generate edgeql-js # regenerate query builder
Never edit the database with DDL directly -- always modify .gel files and use the migration workflow. See examples/core.md for the full workflow including gel watch --migrate for prototyping.
Pattern 5: Transactions
Pass tx (not client) to ALL operations inside client.transaction(). Using client inside the callback runs queries outside the transaction.
await client.transaction(async (tx) => {
await tx.execute(`update Account ...`); // tx, not client!
});
See examples/core.md for transaction patterns and examples/query-builder.md for query builder transactions.
<red_flags>
RED FLAGS
High Priority Issues:
- Using
clientinstead oftxinsideclient.transaction()-- queries run outside the transaction and cannot be rolled back - Forgetting to run
npx @gel/generate edgeql-jsaftergel migrate-- query builder types are stale and TypeScript won't catch schema mismatches - Using raw
uuidproperties instead oflink-- defeats Gel's graph traversal and referential integrity - Using
datetime_current()in schema-defined computed properties -- volatile functions are forbidden in schema computeds; usedatetime_of_statement()ordatetime_of_transaction()
Medium Priority Issues:
- Bare
{}for empty sets -- EdgeQL requires explicit type cast (<str>{},<array<int64>>[]) because the type cannot be inferred from an empty literal - Using
:=when you mean+=on multi links in UPDATE --:=replaces the entire set,+=adds to it,-=removes from it - Not specifying
filteron UPDATE/DELETE -- without a filter, the operation applies to ALL objects of that type - Editing the database with DDL directly instead of through
.gelfiles + migrations -- causes schema drift between files and database
Common Mistakes:
- Expecting element-wise behavior from set operations --
{1, 2} + {10, 20}produces{11, 21, 12, 22}(Cartesian product), not{11, 22} - Forgetting that
selecton a single link returns an object (not an ID) -- you do not need to JOIN; just traverse with. - Using
select count(MyType)and expectingquerySingleto work --count()always returns exactly one value, so usequeryRequiredSingle - Defining a computed backlink but forgetting the type filter --
.<authorwithout[is Post]returns all types that have anauthorlink
Gotchas & Edge Cases:
- Computed properties are not stored -- they are re-evaluated on every query, which can be expensive for complex expressions
requiredon a multi link means "at least one" -- an empty set violates the constraint, which can be surprising- String concatenation uses
++not+-- the+operator is for arithmetic only LIMIT 1does NOT make a query return a singleton for cardinality purposes -- usefilter .id = <uuid>$id(exclusive constraint) for the query builder to infer singleton cardinality- Multi links are unordered sets -- if you need ordering, add an
order byin your query or use an intermediate type with anorderproperty - Backlinks (
.<link_name) default tomulticardinality -- usesinglekeyword explicitly if you know the relationship is one-to-one - EdgeDB branches (v5+) are separate database copies, not lightweight references -- branching a large database takes time and disk space proportional to the data size
</red_flags>
<critical_reminders>
CRITICAL REMINDERS
All code must follow project conventions in CLAUDE.md (kebab-case, named exports, import ordering,
import type, named constants)
(You MUST run npx @gel/generate edgeql-js after every gel migrate -- the generated query builder is based on the database schema and becomes stale after migrations)
(You MUST cast empty sets explicitly (<str>{}, <int64>{}) -- bare {} is a syntax error because EdgeQL is strongly typed and cannot infer the type of an empty set)
(You MUST understand that all EdgeQL values are sets -- operations on multi-valued expressions produce Cartesian products, not element-wise results)
(You MUST pass the transaction object tx (not client) to ALL query .run() calls inside client.transaction() -- using client inside a transaction runs queries outside the transaction)
(You MUST NOT use volatile functions like datetime_current() in schema-defined computed properties -- use datetime_of_transaction() or datetime_of_statement() instead)
Failure to follow these rules will cause stale types, silent data bugs, or transaction isolation failures.
</critical_reminders>
Frequently asked questions
What to verify before installation and use
What does the api-database-edgedb source document cover?
Quick Guide: Gel (formerly EdgeDB) is a graph-relational database built on PostgreSQL. Define schemas in .gel files using SDL with types, links, and computed properties. Use gel migration create + gel migrate for schema changes. Query with EdgeQL (set-based, deeply nested shapes…
How do I install api-database-edgedb?
The source record exposes this install command: npx skills add https://github.com/agents-inc/skills --skill "src/skills/api-database-edgedb". Inspect the command and pinned source before running it.
Which permission-related actions were detected?
Static rules flagged exec-script in the source; the page lists the matching lines and excerpts.
Alternatives
Compare before choosing
coreyhaines31/marketingskills
ab-testing
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program
garrytan/gbrain
bulk-ingestion
End-to-end discipline for turning any large data source (audio libraries, email takeouts, document corpora, chat exports, API dumps) into brain pages at scale. The lifecycle spine: SCHEMA → ACCESS → TRIAL → EVALUATE → IMPROVE → CODIFY → TEST → SKILLIFY → BULK → MONITOR. State is tracked in a durable JSON manifest (see MANIFEST-PATTERN.md) so any crash, session boundary, or subagent fan-out resumes from ground truth instead of memory.
alirezarezvani/claude-skills
app-store-optimization
App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklist
dotnet/skills
migrate-vstest-to-mtp
Migrates .NET test projects from VSTest to Microsoft.Testing.Platform (MTP). Use when user asks to "migrate to MTP", "switch from VSTest", "enable Microsoft.Testing.Platform", "use MTP runner", set OutputType=Exe only for test projects in Directory.Build.props, or mentions EnableMSTestRunner, EnableNUnitRunner, or UseMicrosoftTestingPlatformRunner. USE FOR: MTP behavioral differences vs VSTest (exit code 8, zero tests discovered, --ignore-exit-code, TESTINGPLATFORM_EXITCODE_IGNORE); centralizing