Dj Architecture
dvf/opinionated-django
Implement a Django feature following the opinionated architecture — prefixed ULID IDs, repository pattern, Pydantic DTOs, svcs service locator, project-scoped django-ninja API, Celery reliable…
Expert Django Celery guidance for asynchronous task processing.
Install Django Celery Expert
$ npx skills add vintasoftware/django-ai-plugins --skill django-celery-expert -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vintasoftware/django-ai-plugins django-celery-expert --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/vintasoftware/django-ai-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/django-celery-expert .claude/skills/django-celery-expert && 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 "django-celery-expert" agent skill from https://github.com/vintasoftware/django-ai-plugins/tree/main/skills/django-celery-expert into .claude/skills/django-celery-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "django-celery-expert", 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/vintasoftware/django-ai-plugins/tree/main/skills/django-celery-expertType 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 vintasoftware/django-ai-plugins --skill django-celery-expert -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vintasoftware/django-ai-plugins django-celery-expert --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vintasoftware/django-ai-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/django-celery-expert .agents/skills/django-celery-expert && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "django-celery-expert" agent skill from https://github.com/vintasoftware/django-ai-plugins/tree/main/skills/django-celery-expert into .agents/skills/django-celery-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "django-celery-expert", 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 vintasoftware/django-ai-plugins --skill django-celery-expert -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vintasoftware/django-ai-plugins django-celery-expert --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vintasoftware/django-ai-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/django-celery-expert .cursor/skills/django-celery-expert && 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 "django-celery-expert" agent skill from https://github.com/vintasoftware/django-ai-plugins/tree/main/skills/django-celery-expert into .cursor/skills/django-celery-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "django-celery-expert", 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/vintasoftware/django-ai-plugins.git --path skills/django-celery-expert--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 vintasoftware/django-ai-plugins --skill django-celery-expert -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vintasoftware/django-ai-plugins django-celery-expert --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vintasoftware/django-ai-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/django-celery-expert .gemini/skills/django-celery-expert && 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 "django-celery-expert" agent skill from https://github.com/vintasoftware/django-ai-plugins/tree/main/skills/django-celery-expert into .gemini/skills/django-celery-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "django-celery-expert", 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 vintasoftware/django-ai-plugins django-celery-expertInstalls 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 vintasoftware/django-ai-plugins --skill django-celery-expert -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vintasoftware/django-ai-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/django-celery-expert .github/skills/django-celery-expert && 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 "django-celery-expert" agent skill from https://github.com/vintasoftware/django-ai-plugins/tree/main/skills/django-celery-expert into .github/skills/django-celery-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "django-celery-expert", 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 vintasoftware/django-ai-plugins --skill django-celery-expert -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vintasoftware/django-ai-plugins django-celery-expert --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vintasoftware/django-ai-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/django-celery-expert .opencode/skills/django-celery-expert && 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 "django-celery-expert" agent skill from https://github.com/vintasoftware/django-ai-plugins/tree/main/skills/django-celery-expert into .opencode/skills/django-celery-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "django-celery-expert", 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
django-celery-expert- GitHub stars
- 151
- Token cost
- ~1.2k tokens
- SKILL.md length
- 206 words
- Files
- 8 (incl. references)
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- None found
At a glance
Expert Django Celery guidance for asynchronous task processing.
- Works in 3 steps: Classify the Request → Read the Reference File(s) → Implement
- Designing background tasks
- SKILL.md covers Instructions and Examples
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Django Celery Expert is an agent skill from vintasoftware/django-ai-plugins. Expert Django Celery guidance for asynchronous task processing. Use when designing background tasks, configuring Celery workers, handling task retries and errors, optimizing Celery performance, implementing periodic tasks with Celery Beat, or setting up production monitoring for Celery. Do not use for general Django questions unrelated to Celery, non-Celery task systems (Django Q, Huey, RQ), ML/data pipeline orchestration (Airflow, Prefect), or frontend and API-only concerns. Follows Vinta's Django Celery best…
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `references/configuration-guide.md`, `references/django-integration.md` and `references/error-handling.md`).
It sits in Backend & APIs, covering Backend development, Background jobs and Data pipelines and ETL. It works with Django and Apache Airflow. The repository describes itself as: A collection of AI Skills specialized in Django Backend development.
When your agent uses it
- Designing background tasks
- Configuring Celery workers
- Handling task retries and errors
- Optimizing Celery performance
Example prompts
- “/django-celery-expert”
Requirements
- Python 3
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Classify the Request
- Read the Reference File(s)
- Implement
What it can do on your machine
Read from SKILL.md and the folder at commit b8af268. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
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
Django Celery Expert loads about 1.2k tokens when it runs, and up to ~22k if it reads all its reference files. Until then it costs about 137 tokens; SKILL.md has 206 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); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 206 words (~1,157 tokens).
“Identify the task category from the request:”
- name
- django-celery-expert
Files
SKILL.md and 7 other files (references) in skills/django-celery-expert of vintasoftware/django-ai-plugins.
- SKILL.md
- references/configuration-guide.md
- references/django-integration.md
- references/error-handling.md
- references/monitoring-observability.md
- references/periodic-tasks.md
- references/production-deployment.md
- references/task-design-patterns.md
Open the folder on GitHubat commit b8af268
Compare with similar skills
Django Celery Expert 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 |
|---|---|---|---|---|---|---|
| Django Celery Expert this skillvintasoftware/django-ai-plugins | 151 | — | ~1.2k | Automated safety check: Pass | None | |
| Dj Architecturedvf/opinionated-django | 109 | — | ~4k | Automated safety check: Notes | MIT | |
| Sentry Python SDKgetsentry/sentry-for-ai | 268 | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | |
| Django Prodavila7/claude-code-templates | 32k | 8 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Dj Servicesdvf/opinionated-django | 109 | — | ~3k | Automated safety check: Notes | MIT | |
| Dj Signalsdvf/opinionated-django | 109 | — | ~1k | Automated safety check: Notes | MIT |
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Works with
Categories
Questions about Django Celery Expert
What does Django Celery Expert do?
Expert Django Celery guidance for asynchronous task processing. Django Celery Expert is an agent skill from vintasoftware/django-ai-plugins. Expert Django Celery guidance for asynchronous task processing.
When should I use Django Celery Expert?
Django Celery Expert fits situations like: designing background tasks; configuring Celery workers; handling task retries and errors; optimizing Celery performance.
How do I install Django Celery Expert in Claude Code?
Run `npx skills add vintasoftware/django-ai-plugins --skill django-celery-expert -a claude-code`. Or copy the skill folder (skills/django-celery-expert in vintasoftware/django-ai-plugins) into .claude/skills/django-celery-expert in your project. Claude Code loads it when a task matches its description.
How do I install Django Celery Expert in Codex?
Run `npx skills add vintasoftware/django-ai-plugins --skill django-celery-expert -a codex`. Or copy the skill folder (skills/django-celery-expert in vintasoftware/django-ai-plugins) into .agents/skills/django-celery-expert in your project. Codex loads it when a task matches its description.
Can I use Django Celery Expert 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 vintasoftware/django-ai-plugins --skill django-celery-expert -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/django-celery-expert, .gemini/skills/django-celery-expert, .github/skills/django-celery-expert and .opencode/skills/django-celery-expert in your project.
What does Django Celery Expert need to run?
SKILL.md names no scripts, command-line tools or credentials: Django Celery Expert is instructions for the agent only. Our summary lists: Python 3.
Does Django Celery Expert 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 Django Celery Expert 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. Review the folder before installing.
What licence does Django Celery Expert use?
No licence was found for Django Celery Expert or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Django Celery Expert use?
About 1.2k tokens (SKILL.md is roughly 4.6k 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 21k tokens, read only when the agent opens those files.
What are the alternatives to Django Celery Expert?
Skills that share tags, products or a category with Django Celery Expert: Dj Architecture (dvf/opinionated-django, 109 stars), Sentry Python SDK (getsentry/sentry-for-ai, 268 stars), Django Pro (davila7/claude-code-templates, 32k stars) and Dj Services (dvf/opinionated-django, 109 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Django Celery Expert?
vintasoftware (a GitHub organization) maintains it in vintasoftware/django-ai-plugins, which has 151 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on July 23, 2026.
Source: vintasoftware/django-ai-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.