Nodejs Backend Patterns
ever-works/ever-works
Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices.
A skill your agent uses when working with Dagster OSS: assets, jobs, Definitions, config/resources, schedules/sensors, automation, CLI/local development, deployment operations, GraphQL/webserver…
Install Dagster
$ npx skills add VectorSpaceLab/AREX-Skill --skill dagster -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill dagster --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/dagster .claude/skills/dagster && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "dagster" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/dagster into .claude/skills/dagster/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dagster", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/dagsterType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add VectorSpaceLab/AREX-Skill --skill dagster -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill dagster --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/repositories/repo-skills/dagster .agents/skills/dagster && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dagster" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/dagster into .agents/skills/dagster/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dagster", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill dagster -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill dagster --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/repositories/repo-skills/dagster .cursor/skills/dagster && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dagster" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/dagster into .cursor/skills/dagster/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dagster", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/dagster--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add VectorSpaceLab/AREX-Skill --skill dagster -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill dagster --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/repositories/repo-skills/dagster .gemini/skills/dagster && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dagster" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/dagster into .gemini/skills/dagster/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dagster", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install VectorSpaceLab/AREX-Skill dagsterInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add VectorSpaceLab/AREX-Skill --skill dagster -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/repositories/repo-skills/dagster .github/skills/dagster && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dagster" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/dagster into .github/skills/dagster/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dagster", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill dagster -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill dagster --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/repositories/repo-skills/dagster .opencode/skills/dagster && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dagster" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/dagster into .opencode/skills/dagster/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dagster", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
dagster- GitHub stars
- 331
- Token cost
- ~1.3k tokens
- SKILL.md length
- 501 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 157
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses when working with Dagster OSS: assets, jobs, Definitions, config/resources, schedules/sensors, automation, CLI/local development, deployment operations, GraphQL/webserver…
- Works in 6 steps: Confirm whether the user is using… → For application work, confirm dagster is… → For local CLI work, prefer help-only… → …
- Working with Dagster OSS: assets
- SKILL.md covers First Checks, Route By Task, Installation Notes and Safety
- Runs Python scripts from its folder; calls make and python
What it does
Dagster is an agent skill from VectorSpaceLab/AREX-Skill. Use when working with Dagster OSS: assets, jobs, Definitions, config/resources, schedules/sensors, automation, CLI/local development, deployment operations, GraphQL/webserver, Pipes external processes, components/projects, or editing the Dagster repository itself.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/repo-provenance.md`, `references/repo-routing-metadata.json` and `references/troubleshooting.md`).
It sits in Backend & APIs, covering GraphQL. It works with Dagster and GraphQL. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is Apache-2.0.
When your agent uses it
- Working with Dagster OSS: assets
- Config/resources
- Schedules/sensors
- CLI/local development
Example prompts
- “/dagster”
Requirements
- Python 3
- Docker
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Confirm whether the user is using Dagster in an application project or editing the Dagster OSS repository itself.
- For application work, confirm dagster is installed in the active Python environment and run a minimal import check when useful
- For local CLI work, prefer help-only checks before executing user code
- Read references/repo-provenance.md before deciding whether this generated skill is current for a Dagster checkout or needs refresh.
- Use references/troubleshooting.md for cross-cutting install/import, optional dependency, target loading, and environment issues before…
- Use scripts/dagster_skill_doctor.py --help for a safe local package and command availability probe.
What it can do on your machine
Read from SKILL.md and the folder at commit ac3fe1a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
makepython
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Dagster loads about 1.3k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 501 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its Apache-2.0 licence (© VectorSpaceLab). 501 words, ~1,292 tokens.
Download SKILL.mdSave it as
.claude/skills/dagster/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- dagster
- description
- Use when working with Dagster OSS: assets, jobs, Definitions, config/resources, schedules/sensors, automation, CLI/local development, deployment operations, GraphQL/webserver, Pipes external processes, components/projects, or editing the Dagster repository itself.
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- Apache 2.0
Dagster
Use this skill for Dagster OSS framework and repository tasks. Dagster is an orchestration platform for building, running, and observing data assets, jobs, schedules, sensors, resources, and external-process integrations.
First Checks
- Confirm whether the user is using Dagster in an application project or editing the Dagster OSS repository itself.
- For application work, confirm
dagsteris installed in the active Python environment and run a minimal import check when useful:
python - <<'PY'
import dagster as dg
print(dg.__version__)
PY- For local CLI work, prefer help-only checks before executing user code:
dagster --help
dagster definitions validate --help
dagster-webserver --help
dagster-graphql --help- Read
references/repo-provenance.mdbefore deciding whether this generated skill is current for a Dagster checkout or needs refresh. - Use
references/troubleshooting.mdfor cross-cutting install/import, optional dependency, target loading, and environment issues before routing deeper. - Use
scripts/dagster_skill_doctor.py --helpfor a safe local package and command availability probe.
Route By Task
- Assets, jobs, ops, and Definitions: use
sub-skills/asset-definitions/SKILL.mdfor@asset,@multi_asset,@asset_check,@op,@job,Definitions,define_asset_job, partitions, backfills, selections, and local materialization tests. - Config and resources: use
sub-skills/configuration-resources/SKILL.mdforConfig,RunConfig,ConfigurableResource,EnvVar, resource dependencies, IO managers, and resource tests. - Schedules, sensors, and automation: use
sub-skills/automation-schedules-sensors/SKILL.mdfor schedules, sensors, run requests, cursors, asset sensors, run status sensors, declarative automation, freshness, and backfill automation. - Local CLI and development server: use
sub-skills/cli-local-development/SKILL.mdfordagster project,dagster dev,dagster definitions validate, asset/job execution, workspace targets, schedule/sensor commands, instance inspection, and debug commands. - Deployment and operations: use
sub-skills/deployment-operations/SKILL.mdforDAGSTER_HOME,dagster.yaml, daemon/webserver services, run launchers, run coordinators, storage, Docker/Kubernetes/ECS checklists, monitoring, and operational failures. - GraphQL and webserver: use
sub-skills/graphql-and-webserver/SKILL.mdfordagster-webserver,dagster-graphql,DagsterGraphQLClient, remote GraphQL URLs, path prefixes, headers/auth, read-only mode, and API troubleshooting. - Pipes external processes: use
sub-skills/pipes-external-processes/SKILL.mdfordagster-pipes,open_dagster_pipes, external process message protocols, materialization/check reporting, loaders, writers, and subprocess patterns. - Components and projects: use
sub-skills/components-projects/SKILL.mdfor component-ready projects, component scaffolding, component YAML/templates,dagster.components,dg,create-dagster, and current project-tooling caveats. - Dagster repo edits: use
sub-skills/repo-development/SKILL.mdfor package lookup, Python/UI/docs validation, coding conventions, mandatorymake ruff,uv, focused tests, and git/stack constraints in the Dagster OSS monorepo.
Show full SKILL.md (174 more words)Show less
Installation Notes
- Public application users normally install
dagster; adddagster-webserver,dagster-graphql,dagster-pipes, or integration packages only when the workflow needs them. - The generated skill verified core packages and help commands for
dagster,dagster-webserver, anddagster-graphqlat version1!0+devfrom the source snapshot. dgandcreate-dagsterproject tooling are covered from source/docs evidence, but this checkout’sdagster-dg-coredepends on an unpublisheddagster-cloud-cli==1!0+devpackage; verify those entry points in the user’s environment before relying on them.- Broad integration libraries, Dagster Cloud account administration, UI internals, Helm templates, CI/release automation, and credentialed/service-specific examples are intentionally long-tail gaps unless a user explicitly asks to extend this skill.
Safety
- Do not start long-running services, run destructive CLI commands, wipe assets, migrate instances, deploy infrastructure, push images, or mutate production schedule/sensor state without explicit user approval.
- Keep credentials in environment variables or secret managers; do not write secrets into
dagster.yaml, workspace files, Dockerfiles, manifests, or generated code. - For repo edits, always follow
sub-skills/repo-development/SKILL.md; after any Python code change in the Dagster repo,make rufffrom the repo root is mandatory.
© VectorSpaceLab, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 5 other files (scripts, references) in skills/repositories/repo-skills/dagster of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/repo-provenance.md
- references/repo-routing-metadata.json
- references/troubleshooting.md
- scripts/dagster_skill_doctor.py
- sub-skills
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
Dagster next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dagster this skillVectorSpaceLab/AREX-Skill | 331 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Nodejs Backend Patternsever-works/ever-works | 162 | 18 repos | ~4k | Automated safety check: Pass | AGPL-3.0 | |
| API DesignerJeffallan/claude-skills | 12k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| GraphQL Operations with CodegenChrisWiles/claude-code-showcase | 6.1k | 3 repos | ~1.5k | Automated safety check: Pass | None | |
| API Design Principlesjh941213/my-cc-harness | 125 | 18 repos | ~3.4k | Automated safety check: Pass | None | |
| API And Interface Designdzhalaevd/Donatello | 135 | 8 repos | ~2.6k | Automated safety check: Pass | Apache-2.0 |
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Sets the rules for writing GraphQL queries and mutations in .gql files, running codegen, and using generated Apollo hooks with proper error and loading handling.
API Design Principles
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REST 및 GraphQL API 설계 원칙 가이드. An agent skill from jh941213/my-cc-harness.
API And Interface Design
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Guides stable API and interface design. An agent skill from dzhalaevd/Donatello.
Twenty Syncable Entity Wiring
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Registers a new syncable entity in three NestJS modules and adds its service and GraphQL resolver layers when contributing to the Twenty server.
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Categories
Questions about Dagster
What does Dagster do?
A skill your agent uses when working with Dagster OSS: assets, jobs, Definitions, config/resources, schedules/sensors, automation, CLI/local development, deployment operations, GraphQL/webserver…. Dagster is an agent skill from VectorSpaceLab/AREX-Skill. Use when working with Dagster OSS: assets, jobs, Definitions, config/resources, schedules/sensors, automation, CLI/local development, deployment operations, GraphQL/webserver, Pipes external processes, components/projects, or editing the Dagster repository itself.
When should I use Dagster?
Dagster fits situations like: working with Dagster OSS: assets; config/resources; schedules/sensors; CLI/local development.
How do I install Dagster in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill dagster -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/dagster in VectorSpaceLab/AREX-Skill) into .claude/skills/dagster in your project. Claude Code loads it when a task matches its description.
How do I install Dagster in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill dagster -a codex`. Or copy the skill folder (skills/repositories/repo-skills/dagster in VectorSpaceLab/AREX-Skill) into .agents/skills/dagster in your project. Codex loads it when a task matches its description.
Can I use Dagster in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add VectorSpaceLab/AREX-Skill --skill dagster -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dagster, .gemini/skills/dagster, .github/skills/dagster and .opencode/skills/dagster in your project.
What does Dagster need to run?
Going by SKILL.md and its folder, Dagster needs Python for the scripts in its folder and the command-line tools its instructions call (make and python). Our summary lists: Python 3; Docker.
Does Dagster access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Dagster safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Dagster use?
Dagster is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Dagster use?
About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.7k tokens, read only when the agent opens those files.
What are the alternatives to Dagster?
Skills that share tags, products or a category with Dagster: Nodejs Backend Patterns (ever-works/ever-works, 162 stars), API Designer (Jeffallan/claude-skills, 12k stars), GraphQL Operations with Codegen (ChrisWiles/claude-code-showcase, 6.1k stars) and API Design Principles (jh941213/my-cc-harness, 125 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dagster?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 331 GitHub stars. The repository holds 157 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.