Django Q2
hashgraph-online/awesome-codex-plugins
A skill your agent uses when adding, changing, testing, or debugging Django Q2 background tasks, scheduled jobs, qcluster workers, Redis broker configuration, or ORM broker fallback in Django…
当需要用 funboost 的内存队列替代传统线程池/协程池、或需要零中间件依赖的本地并发时使用。触发场景:不需要分布式但需要并发控制、替代 ThreadPoolExecutor、MEMORYQUEUE、FunboostPool、getfuture。关键词:MEMORYQUEUE, MemoryFunboostPool, FunboostPool, 内存队列, 本地并发, 线程池替代。
$ npx skills add ydf0509/funboost --skill funboost-memory-queue-pool -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ydf0509/funboost funboost-memory-queue-pool --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/ydf0509/funboost.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/funboost-memory-queue-pool .claude/skills/funboost-memory-queue-pool && 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 "funboost-memory-queue-pool" agent skill from https://github.com/ydf0509/funboost/tree/master/.agents/skills/funboost-memory-queue-pool into .claude/skills/funboost-memory-queue-pool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "funboost-memory-queue-pool", 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/ydf0509/funboost/tree/master/.agents/skills/funboost-memory-queue-poolType 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 ydf0509/funboost --skill funboost-memory-queue-pool -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ydf0509/funboost funboost-memory-queue-pool --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ydf0509/funboost.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/funboost-memory-queue-pool .agents/skills/funboost-memory-queue-pool && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "funboost-memory-queue-pool" agent skill from https://github.com/ydf0509/funboost/tree/master/.agents/skills/funboost-memory-queue-pool into .agents/skills/funboost-memory-queue-pool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "funboost-memory-queue-pool", 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 ydf0509/funboost --skill funboost-memory-queue-pool -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ydf0509/funboost funboost-memory-queue-pool --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ydf0509/funboost.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/funboost-memory-queue-pool .cursor/skills/funboost-memory-queue-pool && 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 "funboost-memory-queue-pool" agent skill from https://github.com/ydf0509/funboost/tree/master/.agents/skills/funboost-memory-queue-pool into .cursor/skills/funboost-memory-queue-pool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "funboost-memory-queue-pool", 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/ydf0509/funboost.git --path .agents/skills/funboost-memory-queue-pool--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 ydf0509/funboost --skill funboost-memory-queue-pool -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ydf0509/funboost funboost-memory-queue-pool --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ydf0509/funboost.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/funboost-memory-queue-pool .gemini/skills/funboost-memory-queue-pool && 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 "funboost-memory-queue-pool" agent skill from https://github.com/ydf0509/funboost/tree/master/.agents/skills/funboost-memory-queue-pool into .gemini/skills/funboost-memory-queue-pool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "funboost-memory-queue-pool", 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 ydf0509/funboost funboost-memory-queue-poolInstalls 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 ydf0509/funboost --skill funboost-memory-queue-pool -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ydf0509/funboost.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/funboost-memory-queue-pool .github/skills/funboost-memory-queue-pool && 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 "funboost-memory-queue-pool" agent skill from https://github.com/ydf0509/funboost/tree/master/.agents/skills/funboost-memory-queue-pool into .github/skills/funboost-memory-queue-pool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "funboost-memory-queue-pool", 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 ydf0509/funboost --skill funboost-memory-queue-pool -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ydf0509/funboost funboost-memory-queue-pool --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ydf0509/funboost.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/funboost-memory-queue-pool .opencode/skills/funboost-memory-queue-pool && 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 "funboost-memory-queue-pool" agent skill from https://github.com/ydf0509/funboost/tree/master/.agents/skills/funboost-memory-queue-pool into .opencode/skills/funboost-memory-queue-pool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "funboost-memory-queue-pool", 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.
funboost-memory-queue-pool当需要用 funboost 的内存队列替代传统线程池/协程池、或需要零中间件依赖的本地并发时使用。触发场景:不需要分布式但需要并发控制、替代 ThreadPoolExecutor、MEMORYQUEUE、FunboostPool、getfuture。关键词:MEMORYQUEUE, MemoryFunboostPool, FunboostPool, 内存队列, 本地并发, 线程池替代。
Funboost Memory Queue Pool is an agent skill from ydf0509/funboost. 当需要用 funboost 的内存队列替代传统线程池/协程池、或需要零中间件依赖的本地并发时使用。触发场景:不需要分布式但需要并发控制、替代 ThreadPoolExecutor、MEMORYQUEUE、FunboostPool、getfuture。关键词:MEMORYQUEUE, MemoryFunboostPool, FunboostPool, 内存队列, 本地并发, 线程池替代。
Its SKILL.md is about 2.2k 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. It works with Redis and Python. The repository describes itself as: pip install funboost,python全功能分布式函数调度框架,funboost的功能是全面性重量级,用户能想得到的功能99%全都有;funboost的使用方式是轻量级,只有@boost一行代码需要写。支持python所有类型的并发模式和一切知名消息队列中间件,支持如 celery…
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 2b866e5. 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).
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.
Funboost Memory Queue Pool loads about 2.2k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 404 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 404 words (~2,228 tokens).
“BrokerEnum.MEMORY_QUEUE 是 funboost 中 SSS 级 broker——不是玩具,而是替代 ThreadPoolExecutor / 协程池 / tomorrow 装饰器的首选方案。发布和消费在同一 Python 进程内,零中间件、零序列化、极致性能。”
Just SKILL.md in .agents/skills/funboost-memory-queue-pool of ydf0509/funboost.
Open the folder on GitHubat commit 2b866e5
Funboost Memory Queue Pool 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 |
|---|---|---|---|---|---|---|
| Funboost Memory Queue Pool this skillydf0509/funboost | 893 | — | ~2.2k | Automated safety check: Pass | None | |
| Django Q2hashgraph-online/awesome-codex-plugins | 1.3k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Backend AI Guidelablup/backend.ai-webui | 133 | 1 repos | ~1.8k | Automated safety check: Pass | LGPL-3.0 | |
| Python PatternsxenitV1/Antigravity-Workflows | 130 | 7 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Using Message Queuesancoleman/ai-design-components | 526 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Flox Environmentsaffaan-m/ECC | 276k | — | ~2.8k | Automated safety check: Pass | MIT |
hashgraph-online/awesome-codex-plugins
A skill your agent uses when adding, changing, testing, or debugging Django Q2 background tasks, scheduled jobs, qcluster workers, Redis broker configuration, or ORM broker fallback in Django…
lablup/backend.ai-webui
Expert guide for Backend.AI distributed computing platform. An agent skill from lablup/backend.ai-webui.
xenitV1/Antigravity-Workflows
Python development principles and decision-making. An agent skill from xenitV1/Antigravity-Workflows.
ancoleman/ai-design-components
Async communication patterns using message brokers and task queues.
affaan-m/ECC
Floxで再現可能なクロスプラットフォーム開発環境を作成します — Nixに基づく宣言的な環境マネージャー。次の場合は必ずこのスキルを使用してください: システムレベルの依存関係(コンパイラー、データベース、openssl・libvips・BLAS・LAPACKなどのネイティブライブラリー)を持つプロジェクトを設定する場合…
secondsky/claude-skills
Implements real-time WebSocket communication with connection management, room-based messaging, and horizontal scaling.
ydf0509/funboost
当需要在 funboost 中连续启动多个函数消费(多个消费者同时运行)时使用。触发场景:一个脚本里同时跑多个 @boost 任务函数的消费、为不同队列启动多个消费者。关键词:连续启动, 多个消费者, consume, multi consume, 同时消费, 启动多个, 多个队列消费。
ydf0509/funboost
当需要为 funboost 框架添加新的消息中间件时使用。触发场景:实现自定义 Publisher/Consumer 类、使用 registercustombroker 注册新 broker、使用 overridecls 定制现有 broker 行为。关键词:new broker, AbstractPublisher, AbstractConsumer…
ydf0509/funboost
当需要为 funboost 创建 Consumer 或 Publisher 的 Mixin 扩展类时使用。触发场景:添加监控、熔断、限流、链路追踪等横切关注点,编写自定义前置/后置处理钩子。关键词:mixin, consumeroverridecls, publisheroverridecls, ConsumerMixin, 自定义消费者, hook, 拦截器, 熔断器, 监控…
ydf0509/funboost
当需要为 funboost 框架编写测试、运行测试脚本、或验证新 broker/mixin 实现时使用。触发场景:编写测试脚本、验证消费者/发布者功能、AI Agent 运行 funboost 脚本。关键词:test funboost, 写测试, 运行测试, testframe, regression test, 验证消费, AI testing, os.exit, timeout。
ydf0509/funboost
当需要配置 funboost 的高级重试策略时使用。触发场景:指数退避重试、死信队列、熔断器、任务去重过滤、自定义错误处理。关键词:retry, maxretrytimes, dead letter, DLX, exponential backoff, circuit breaker, isusingadvancedretry…
ydf0509/funboost
当需要在 funboost 中使用异步(async/await)编程时使用。触发场景:async def 消费函数、aiopush/aiopublish、concurrentmode=ASYNC、event loop 报错。关键词:async, await, asyncio, aiopush, aiopublish, ConcurrentModeEnum.ASYNC, 异步消费, 协程。
Categories
当需要用 funboost 的内存队列替代传统线程池/协程池、或需要零中间件依赖的本地并发时使用。触发场景:不需要分布式但需要并发控制、替代 ThreadPoolExecutor、MEMORYQUEUE、FunboostPool、getfuture。关键词:MEMORYQUEUE, MemoryFunboostPool, FunboostPool, 内存队列, 本地并发, 线程池替代。. Funboost Memory Queue Pool is an agent skill from ydf0509/funboost.
Funboost Memory Queue Pool fits situations like: backend & APIs work in your project.
Run `npx skills add ydf0509/funboost --skill funboost-memory-queue-pool -a claude-code`. Or copy the skill folder (.agents/skills/funboost-memory-queue-pool in ydf0509/funboost) into .claude/skills/funboost-memory-queue-pool in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ydf0509/funboost --skill funboost-memory-queue-pool -a codex`. Or copy the skill folder (.agents/skills/funboost-memory-queue-pool in ydf0509/funboost) into .agents/skills/funboost-memory-queue-pool 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 ydf0509/funboost --skill funboost-memory-queue-pool -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/funboost-memory-queue-pool, .gemini/skills/funboost-memory-queue-pool, .github/skills/funboost-memory-queue-pool and .opencode/skills/funboost-memory-queue-pool in your project.
SKILL.md names no scripts, command-line tools or credentials: Funboost Memory Queue Pool is instructions for the agent only. Our summary lists: Python 3.
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.
No licence was found for Funboost Memory Queue Pool or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 2.2k tokens (SKILL.md is roughly 8.9k 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 Funboost Memory Queue Pool: Django Q2 (hashgraph-online/awesome-codex-plugins, 1.3k stars), Backend AI Guide (lablup/backend.ai-webui, 133 stars), Python Patterns (xenitV1/Antigravity-Workflows, 130 stars) and Using Message Queues (ancoleman/ai-design-components, 526 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ydf0509 (a GitHub user) maintains it in ydf0509/funboost, which has 893 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on August 11, 2026.
Source: ydf0509/funboost on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.