Sentry Python SDK
getsentry/sentry-for-ai
Full Sentry SDK setup for Python. An agent skill from getsentry/sentry-for-ai.
Celery background task patterns for Python apps. An agent skill from cohen-liel/hivemind.
$ npx skills add cohen-liel/hivemind --skill celery-tasks -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install cohen-liel/hivemind celery-tasks --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/cohen-liel/hivemind.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/celery-tasks .claude/skills/celery-tasks && 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 "celery-tasks" agent skill from https://github.com/cohen-liel/hivemind/tree/main/.claude/skills/celery-tasks into .claude/skills/celery-tasks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "celery-tasks", 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/cohen-liel/hivemind/tree/main/.claude/skills/celery-tasksType 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 cohen-liel/hivemind --skill celery-tasks -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install cohen-liel/hivemind celery-tasks --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cohen-liel/hivemind.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/celery-tasks .agents/skills/celery-tasks && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "celery-tasks" agent skill from https://github.com/cohen-liel/hivemind/tree/main/.claude/skills/celery-tasks into .agents/skills/celery-tasks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "celery-tasks", 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 cohen-liel/hivemind --skill celery-tasks -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install cohen-liel/hivemind celery-tasks --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cohen-liel/hivemind.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/celery-tasks .cursor/skills/celery-tasks && 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 "celery-tasks" agent skill from https://github.com/cohen-liel/hivemind/tree/main/.claude/skills/celery-tasks into .cursor/skills/celery-tasks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "celery-tasks", 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/cohen-liel/hivemind.git --path .claude/skills/celery-tasks--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 cohen-liel/hivemind --skill celery-tasks -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install cohen-liel/hivemind celery-tasks --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cohen-liel/hivemind.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/celery-tasks .gemini/skills/celery-tasks && 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 "celery-tasks" agent skill from https://github.com/cohen-liel/hivemind/tree/main/.claude/skills/celery-tasks into .gemini/skills/celery-tasks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "celery-tasks", 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 cohen-liel/hivemind celery-tasksInstalls 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 cohen-liel/hivemind --skill celery-tasks -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/cohen-liel/hivemind.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/celery-tasks .github/skills/celery-tasks && 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 "celery-tasks" agent skill from https://github.com/cohen-liel/hivemind/tree/main/.claude/skills/celery-tasks into .github/skills/celery-tasks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "celery-tasks", 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 cohen-liel/hivemind --skill celery-tasks -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install cohen-liel/hivemind celery-tasks --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cohen-liel/hivemind.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/celery-tasks .opencode/skills/celery-tasks && 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 "celery-tasks" agent skill from https://github.com/cohen-liel/hivemind/tree/main/.claude/skills/celery-tasks into .opencode/skills/celery-tasks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "celery-tasks", 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.
celery-tasksCelery background task patterns for Python apps. An agent skill from cohen-liel/hivemind.
Celery Tasks is an agent skill from cohen-liel/hivemind. Celery background task patterns for Python apps. Use when implementing background jobs, scheduled tasks, email sending, image processing, or any async work that shouldn't block a web request.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Backend & APIs, covering Background jobs and Scheduled and recurring tasks. It works with Python. The repository describes itself as: One prompt. A full AI engineering team. Go lie on the couch. 🧠. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 918dd9b. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python and yaml).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Celery Tasks loads about 1.1k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 80 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.
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.
The full file from cohen-liel/hivemind at commit 918dd9b, republished under its Apache-2.0 licence (© cohen-liel). 80 words, ~1,089 tokens.
.claude/skills/celery-tasks/SKILL.md (or your agent's skills folder).# celery_app.py
from celery import Celery
from kombu import Queue
celery = Celery(
"myapp",
broker=settings.REDIS_URL,
backend=settings.REDIS_URL,
include=["app.tasks.email", "app.tasks.processing"],
)
celery.conf.update(
task_serializer="json",
result_serializer="json",
accept_content=["json"],
timezone="UTC",
task_track_started=True,
task_acks_late=True, # Re-queue if worker crashes
worker_prefetch_multiplier=1, # Fair distribution
task_queues=[
Queue("high", routing_key="high"),
Queue("default", routing_key="default"),
Queue("low", routing_key="low"),
],
task_default_queue="default",
# Retry policy
task_max_retries=3,
task_soft_time_limit=300, # 5 min warning
task_time_limit=600, # 10 min hard kill
)# tasks/email.py
from celery import shared_task
from celery.utils.log import get_task_logger
logger = get_task_logger(__name__)
@shared_task(
bind=True,
max_retries=3,
default_retry_delay=60, # 1 min between retries
queue="high",
)
def send_welcome_email(self, user_id: int, email: str, name: str):
try:
logger.info(f"Sending welcome email to {email}")
result = email_service.send(
to=email,
template="welcome",
context={"name": name},
)
logger.info(f"Email sent: {result.id}")
return {"status": "sent", "message_id": result.id}
except EmailServiceError as exc:
logger.warning(f"Email failed (attempt {self.request.retries + 1}): {exc}")
raise self.retry(exc=exc, countdown=60 * (2 ** self.request.retries)) # exponential backoff
@shared_task(queue="low", rate_limit="10/m")
def generate_thumbnail(image_path: str, sizes: list[tuple[int, int]]):
"""Rate-limited to 10/min — heavy CPU task."""
for w, h in sizes:
img = Image.open(image_path)
img.thumbnail((w, h))
img.save(f"{image_path}_{w}x{h}.jpg", optimize=True, quality=85)# Fire and forget
send_welcome_email.delay(user.id, user.email, user.name)
# With explicit queue
send_welcome_email.apply_async(
args=[user.id, user.email, user.name],
queue="high",
countdown=5, # delay 5 seconds
expires=3600, # discard if not run within 1h
)
# Chain: run tasks in sequence
from celery import chain
result = chain(
resize_image.s(image_path),
upload_to_s3.s(bucket="uploads"),
notify_user.s(user_id=user.id),
).delay()
# Group: run tasks in parallel
from celery import group
job = group(
send_welcome_email.s(u.id, u.email, u.name)
for u in new_users
)
job.apply_async()from celery.schedules import crontab
celery.conf.beat_schedule = {
"cleanup-expired-sessions": {
"task": "app.tasks.cleanup.remove_expired_sessions",
"schedule": crontab(minute=0, hour=3), # Daily at 3am
},
"send-digest-emails": {
"task": "app.tasks.email.send_weekly_digest",
"schedule": crontab(day_of_week="monday", hour=9, minute=0),
},
}worker:
build: .
command: celery -A app.celery_app worker --loglevel=info --concurrency=4 -Q high,default,low
env_file: [.env]
depends_on: [redis]
beat:
build: .
command: celery -A app.celery_app beat --loglevel=info
env_file: [.env]
depends_on: [redis]
flower:
build: .
command: celery -A app.celery_app flower --port=5555
ports: ["5555:5555"]bind=True + self.retry() for retryable tasks (email, API calls)task_acks_late=True + worker_prefetch_multiplier=1 for reliability© cohen-liel, 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
Just SKILL.md in .claude/skills/celery-tasks of cohen-liel/hivemind.
Open the folder on GitHubat commit 918dd9b
Celery Tasks 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 |
|---|---|---|---|---|---|---|
| Celery Tasks this skillcohen-liel/hivemind | 110 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Sentry Python SDKgetsentry/sentry-for-ai | 268 | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | |
| AI Automation WorkflowsNeverSight/learn-skills.dev | 216 | 1 repos | ~2.6k | Automated safety check: Pass | None | |
| Trigger.dev Configurationpapermark/papermark | 9.2k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| NubaseOtterMind/Nubase | 623 | — | ~2.2k | Automated safety check: Notes | Apache-2.0 | |
| Trigger.dev Background Taskspapermark/papermark | 9.2k | — | ~2.1k | Automated safety check: Pass | Custom licence |
getsentry/sentry-for-ai
Full Sentry SDK setup for Python. An agent skill from getsentry/sentry-for-ai.
NeverSight/learn-skills.dev
Build automated AI workflows combining multiple models and services.
papermark/papermark
Configures Trigger.dev projects through trigger.config.ts, with build extensions for Prisma, Playwright, Puppeteer, FFmpeg, Python and system packages.
OtterMind/Nubase
A skill your agent uses when the user mentions Nubase broadly, wants a backend for an AI-generated app, or needs to deploy/publish generated code online — across Database, Auth, Storage, Assets…
papermark/papermark
Guides building durable background tasks, scheduled jobs and queues with Trigger.dev, including retries, waits, idempotency and concurrency limits.
xiaods/k8e
Run a goal end to end inside an isolated K8E sandbox pod (gVisor / Kata / Firecracker) instead of on the host: exec bash / Python / Node / TypeScript, install packages, move files in and out, reuse…
cohen-liel/hivemind
REST API design principles and best practices. An agent skill from cohen-liel/hivemind.
cohen-liel/hivemind
Python asyncio patterns for high-performance async code. An agent skill from cohen-liel/hivemind.
cohen-liel/hivemind
Docker, docker-compose, and deployment configuration best practices.
cohen-liel/hivemind
End-to-end testing patterns with Playwright. An agent skill from cohen-liel/hivemind.
cohen-liel/hivemind
Email sending patterns for transactional and marketing emails.
cohen-liel/hivemind
Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance.
Works with
Categories
Celery background task patterns for Python apps. An agent skill from cohen-liel/hivemind. Celery Tasks is an agent skill from cohen-liel/hivemind. Celery background task patterns for Python apps.
Celery Tasks fits situations like: implementing background jobs; scheduled tasks; image processing; any async work that shouldnt block a web request.
Run `npx skills add cohen-liel/hivemind --skill celery-tasks -a claude-code`. Or copy the skill folder (.claude/skills/celery-tasks in cohen-liel/hivemind) into .claude/skills/celery-tasks in your project. Claude Code loads it when a task matches its description.
Run `npx skills add cohen-liel/hivemind --skill celery-tasks -a codex`. Or copy the skill folder (.claude/skills/celery-tasks in cohen-liel/hivemind) into .agents/skills/celery-tasks in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cohen-liel/hivemind --skill celery-tasks -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/celery-tasks, .gemini/skills/celery-tasks, .github/skills/celery-tasks and .opencode/skills/celery-tasks in your project.
SKILL.md names no scripts, command-line tools or credentials: Celery Tasks is instructions for the agent only. Our summary lists: Python 3; Docker.
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.
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.
Celery Tasks is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Celery Tasks: Sentry Python SDK (getsentry/sentry-for-ai, 268 stars), AI Automation Workflows (NeverSight/learn-skills.dev, 216 stars), Trigger.dev Configuration (papermark/papermark, 9.2k stars) and Nubase (OtterMind/Nubase, 623 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
cohen-liel (a GitHub user) maintains it in cohen-liel/hivemind, which has 110 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on April 18, 2026.
Source: cohen-liel/hivemind on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.