Agent skill

Funboost Multi Consumer Startup

by ydf0509 in 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。

No licenceAuto-check passed

Install Funboost Multi Consumer Startup

skills CLI
$ npx skills add ydf0509/funboost --skill funboost-multi-consumer-startup -a claude-code

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

GitHub CLI
$ gh skill install ydf0509/funboost funboost-multi-consumer-startup --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-multi-consumer-startup .claude/skills/funboost-multi-consumer-startup && 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-multi-consumer-startup
GitHub stars
892
Token cost
~502 tokens
SKILL.md length
80 words
Files
2 (incl. scripts)
Skills in repo
19
Repo updated
First seen
Licence
None found

At a glance

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。

  • Works in 2 steps: 禁止用 threading.Thread 包装 consume() — 如… → 禁止用 subprocess 或 multiprocessing.Process…
  • SKILL.md covers 概述, 适用场景, 铁律(绝对不可违反) and 速查表, plus 4 more sections
  • Runs Python scripts from its folder

What it does

Funboost Multi Consumer Startup is an agent skill from 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。

Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/demo_multi_consume.py`).

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…

Example prompts

  • “/funboost-multi-consumer-startup”

Requirements

  • Python 3

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. 禁止用 threading.Thread 包装 consume() — 如 threading.Thread(target=func1.consume).start() 是多此一举,func1.consume() 本身不会阻塞主线程
  2. 禁止用 subprocess 或 multiprocessing.Process 逐个启动消费 — 框架已从层面支持直接连续调用

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

    Ships 1 file in scripts/ (Python), which the agent can run.

    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 Multi Consumer Startup loads about 502 tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 80 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~44
When it runs · the whole SKILL.md, loaded when a task matches
~502

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 80 words (~502 tokens).

“Funboost 的 consume() 天生非阻塞——调用后立即返回,消费在后台运行。因此连续启动多个函数消费非常简单:最基本的用法就是 2 个函数直接顺序调用 consume(),不需要线程、进程或任何包装。”

— opening of SKILL.md by ydf0509
name
funboost-multi-consumer-startup

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (scripts) in .agents/skills/funboost-multi-consumer-startup of ydf0509/funboost.

  • SKILL.md
  • scripts/demo_multi_consume.py

Open the folder on GitHubat commit 2b866e5

Compare with similar skills

Funboost Multi Consumer Startup 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 Multi Consumer Startup compared with similar skills
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Funboost Multi Consumer Startup this skillydf0509/funboost892—~502Automated safety check: PassNone
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Startup Metrics Frameworkwshobson/agents40k—~2.5kAutomated safety check: PassMIT
Measure Startup RequestsTriliumNext/Trilium38k—~1.5kAutomated safety check: PassAGPL-3.0
Boost Asio Prosickn33/agentic-awesome-skills47k1 repos~3kAutomated safety check: PassMIT
Hunting For Startup Folder Persistencemukul975/Anthropic-Cybersecurity-Skills34k—~676Automated safety check: PassApache-2.0

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More from ydf0509/funboost

All 19 skills in this repo
  • 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…

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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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    ydf0509/funboost

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  • 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。

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  • 当需要为 funboost 任务选择消息中间件时使用。触发场景:对比 Redis/RabbitMQ/Kafka/本地队列、配置 broker 连接、设置 brokerexclusiveconfig。关键词:BrokerEnum, brokerkind, Redis, RabbitMQ, Kafka, MQTT, 中间件选型, 消息队列选择。

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Questions about Funboost Multi Consumer Startup

What does Funboost Multi Consumer Startup do?

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。. Funboost Multi Consumer Startup is an agent skill from ydf0509/funboost.

How do I install Funboost Multi Consumer Startup in Claude Code?

Run `npx skills add ydf0509/funboost --skill funboost-multi-consumer-startup -a claude-code`. Or copy the skill folder (.agents/skills/funboost-multi-consumer-startup in ydf0509/funboost) into .claude/skills/funboost-multi-consumer-startup in your project. Claude Code loads it when a task matches its description.

How do I install Funboost Multi Consumer Startup in Codex?

Run `npx skills add ydf0509/funboost --skill funboost-multi-consumer-startup -a codex`. Or copy the skill folder (.agents/skills/funboost-multi-consumer-startup in ydf0509/funboost) into .agents/skills/funboost-multi-consumer-startup in your project. Codex loads it when a task matches its description.

Can I use Funboost Multi Consumer Startup 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-multi-consumer-startup -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-multi-consumer-startup, .gemini/skills/funboost-multi-consumer-startup, .github/skills/funboost-multi-consumer-startup and .opencode/skills/funboost-multi-consumer-startup in your project.

What does Funboost Multi Consumer Startup need to run?

Going by SKILL.md and its folder, Funboost Multi Consumer Startup needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Funboost Multi Consumer Startup 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 Multi Consumer Startup 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 Funboost Multi Consumer Startup use?

No licence was found for Funboost Multi Consumer Startup or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Funboost Multi Consumer Startup use?

About 502 tokens (SKILL.md is roughly 2k 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 Multi Consumer Startup?

Skills that share tags, products or a category with Funboost Multi Consumer Startup: Startup Canvas (phuryn/pm-skills, 27k stars), Startup Metrics Framework (wshobson/agents, 40k stars), Measure Startup Requests (TriliumNext/Trilium, 38k stars) and Boost Asio Pro (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Funboost Multi Consumer Startup?

ydf0509 (a GitHub user) maintains it in ydf0509/funboost, which has 892 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.