Agent skill

Funboost Workflow

by ydf0509 in ydf0509/funboost

当需要编排多个 funboost 任务按顺序或并行执行时使用。触发场景:chain 串行流水线、group 并行执行、chord 扇出聚合、嵌套 chain/group/chord 组合、任务依赖编排。关键词:workflow, chain, group, chord, pipeline, 嵌套组合, 工作流, 任务依赖, fan-out, fan-in…

No licenceAuto-check passedBackend & APIs

Install Funboost Workflow

skills CLI
$ npx skills add ydf0509/funboost --skill funboost-workflow -a claude-code

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

GitHub CLI
$ gh skill install ydf0509/funboost funboost-workflow --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-workflow .claude/skills/funboost-workflow && 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-workflow
GitHub stars
892
Token cost
~1k tokens
SKILL.md length
181 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
None found

At a glance

当需要编排多个 funboost 任务按顺序或并行执行时使用。触发场景:chain 串行流水线、group 并行执行、chord 扇出聚合、嵌套 chain/group/chord 组合、任务依赖编排。关键词:workflow, chain, group, chord, pipeline, 嵌套组合, 工作流, 任务依赖, fan-out, fan-in…

  • Works in 6 steps: WorkflowBoosterParams — 工作流任务推荐用这个(已默认… → 导入 funboost.workflow — .s() / .si()… → .s() 方法 — 创建签名(懒引用),用于工作流组合;.si()… → …
  • Backend & APIs work in your project
  • SKILL.md covers 概述, 适用场景, 速查表 and 核心代码模式, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Funboost Workflow is an agent skill from ydf0509/funboost. 当需要编排多个 funboost 任务按顺序或并行执行时使用。触发场景:chain 串行流水线、group 并行执行、chord 扇出聚合、嵌套 chain/group/chord 组合、任务依赖编排。关键词:workflow, chain, group, chord, pipeline, 嵌套组合, 工作流, 任务依赖, fan-out, fan-in, WorkflowBoosterParams。

Its SKILL.md is about 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. It works with Redis. 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-workflow”

Requirements

  • Python 3

Workflow steps

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

  1. WorkflowBoosterParams — 工作流任务推荐用这个(已默认 is_using_rpc_mode=True 并注入必要 Mixin)
  2. 导入 funboost.workflow — .s() / .si() 方法仅在导入 workflow 模块后才可用(如 from funboost.workflow import chain, ...)
  3. .s() 方法 — 创建签名(懒引用),用于工作流组合;.si() 为不可变签名,忽略上游结果
  4. 统一 broker — 工作流中的所有任务建议使用相同的 broker
  5. 需配置 Redis — 工作流依赖 RPC(即使用非 Redis broker 也需要 Redis 存储 RPC 结果)
  6. 启动消费者 — 每个任务函数都需 func.consume() 才能执行

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 Workflow loads about 1k tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 181 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~1k

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 181 words (~1,008 tokens).

“Funboost workflow 模块提供类似 Celery 的原语(chain、group、chord),用于编排多步骤任务流水线,但比 Celery 更简单。”

— opening of SKILL.md by ydf0509
name
funboost-workflow

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/funboost-workflow of ydf0509/funboost.

Open the folder on GitHubat commit 2b866e5

Compare with similar skills

Funboost Workflow 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 Workflow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Funboost Workflow this skillydf0509/funboost892—~1kAutomated safety check: PassNone
Configuring Horizoncoollabsio/coolify63k4 repos~898Automated safety check: PassMIT
Upstash Ratelimit TSupstash/ratelimit-js2k1 repos~313Automated safety check: PassMIT
FastAPI-Redis SDK Developmentredis/fastapi-redis-sdk404—~2.5kAutomated safety check: NotesMIT
Pulse DevelopmentMineTrax/minetrax1151 repos~1.7kAutomated safety check: PassMIT
Create Environmentgodatadriven/whirl205—~1.9kAutomated safety check: PassApache-2.0

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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。

    892 GitHub stars~502 tokensUpdated 1 mo ago
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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…

    892 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…

    892 GitHub stars~2.1k tokensUpdated 1 mo ago
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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。

    892 GitHub stars~1.5k tokensUpdated 1 mo ago
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  • Funboost Advanced Retry

    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…

    892 GitHub stars~1.6k tokensUpdated 1 mo ago
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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。

    892 GitHub stars~3.4k tokensUpdated 1 mo ago
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Works with

Questions about Funboost Workflow

What does Funboost Workflow do?

当需要编排多个 funboost 任务按顺序或并行执行时使用。触发场景:chain 串行流水线、group 并行执行、chord 扇出聚合、嵌套 chain/group/chord 组合、任务依赖编排。关键词:workflow, chain, group, chord, pipeline, 嵌套组合, 工作流, 任务依赖, fan-out, fan-in…. Funboost Workflow is an agent skill from ydf0509/funboost.

When should I use Funboost Workflow?

Funboost Workflow fits situations like: backend & APIs work in your project.

How do I install Funboost Workflow in Claude Code?

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

How do I install Funboost Workflow in Codex?

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

Can I use Funboost Workflow 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-workflow -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-workflow, .gemini/skills/funboost-workflow, .github/skills/funboost-workflow and .opencode/skills/funboost-workflow in your project.

What does Funboost Workflow need to run?

SKILL.md names no scripts, command-line tools or credentials: Funboost Workflow is instructions for the agent only. Our summary lists: Python 3.

Does Funboost Workflow 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 Workflow 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 Workflow use?

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

How many tokens does Funboost Workflow use?

About 1k tokens (SKILL.md is roughly 4k 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 Workflow?

Skills that share tags, products or a category with Funboost Workflow: Configuring Horizon (coollabsio/coolify, 63k stars), Upstash Ratelimit TS (upstash/ratelimit-js, 2k stars), FastAPI-Redis SDK Development (redis/fastapi-redis-sdk, 404 stars) and Pulse Development (MineTrax/minetrax, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Funboost Workflow?

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.