Agent skill

Funboost Memory Queue Pool

by ydf0509 in 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。

No licenceAuto-check passedBackend & APIs

Install Funboost Memory Queue Pool

skills CLI
$ npx skills add ydf0509/funboost --skill funboost-memory-queue-pool -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ydf0509/funboost funboost-memory-queue-pool --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
funboost-memory-queue-pool
GitHub stars
893
Token cost
~2.2k tokens
SKILL.md length
404 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
None found

At a glance

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。

  • Works in 7 steps: 为什么选择内存队列 → 作为「超级装饰器」 → MemoryFunboostPool / FunboostPool 用法 → …
  • Backend & APIs work in your project
  • SKILL.md covers 概述, 适用场景, 2. 为什么选择内存队列 and 3. 作为「超级装饰器」, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

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…

When your agent uses it

  • Backend & APIs work in your project

Example prompts

  • “/funboost-memory-queue-pool”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. 为什么选择内存队列
  2. 作为「超级装饰器」
  3. MemoryFunboostPool / FunboostPool 用法
  4. get_future() 获取 Future 对象
  5. 与分布式 broker 的切换
  6. 完整代码示例
  7. 注意事项

What it can do on your machine

Read from SKILL.md and the folder at commit 2b866e5. 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

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.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

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 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。”

— opening of SKILL.md by ydf0509
name
funboost-memory-queue-pool

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/funboost-memory-queue-pool of ydf0509/funboost.

Open the folder on GitHubat commit 2b866e5

Compare with similar skills

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.

Funboost Memory Queue Pool compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Funboost Memory Queue Pool this skillydf0509/funboost893—~2.2kAutomated safety check: PassNone
Django Q2hashgraph-online/awesome-codex-plugins1.3k—~1.7kAutomated safety check: PassMIT
Backend AI Guidelablup/backend.ai-webui1331 repos~1.8kAutomated safety check: PassLGPL-3.0
Python PatternsxenitV1/Antigravity-Workflows1307 repos~2.2kAutomated safety check: PassMIT
Using Message Queuesancoleman/ai-design-components526—~2.9kAutomated safety check: PassMIT
Flox Environmentsaffaan-m/ECC276k—~2.8kAutomated safety check: PassMIT

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More from ydf0509/funboost

All 19 skills in this repo
  • 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。

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  • 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…

    893 GitHub stars~1.7k tokensUpdated 1 mo ago
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  • 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…

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  • 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。

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Works with

Questions about Funboost Memory Queue Pool

What does Funboost Memory Queue Pool do?

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.

When should I use Funboost Memory Queue Pool?

Funboost Memory Queue Pool fits situations like: backend & APIs work in your project.

How do I install Funboost Memory Queue Pool in Claude Code?

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.

How do I install Funboost Memory Queue Pool in Codex?

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.

Can I use Funboost Memory Queue Pool 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 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.

What does Funboost Memory Queue Pool need to run?

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.

Does Funboost Memory Queue Pool 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 Funboost Memory Queue Pool 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 Funboost Memory Queue Pool use?

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.

How many tokens does Funboost Memory Queue Pool use?

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.

What are the alternatives to Funboost Memory Queue Pool?

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.

Who maintains Funboost Memory Queue Pool?

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.