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workflow-automation工作流程自动化

Agent Skill

workflow-automation 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,947

周安装

78

GitHub Stars

11

下载量

630
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:workflow-automation(工作流程自动化)
来源仓库:https://github.com/akillness/oh-my-skills
仓库路径:skills/workflow-automation
安装命令:
npx skills add https://github.com/akillness/oh-my-skills --skill workflow-automation
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/akillness/oh-my-skills --skill workflow-automation

简介

作为仓库级自动化路由中枢,负责分类和调度周期性工作流程。

  • 支持本地入口、CI 镜像和定时维护任务的统一管理,输出可复用的执行包。
  • 使用时需明确主模式选择,避免生成庞大脚本集合,强调范围透明和路由出口。
  • 安装命令:npx skills add https://github.com/akillness/oh-my-skills --skill workflow-automation
  • 涉及机器配置或运行时变更时,需确认环境准备状态和安全策略限制。

SKILL.md

Workflow Automation

Use this skill as the repo's routing-first recurring workflow automation anchor.

The job is not to dump a giant Makefile, shell-script pile, hook config, and CI YAML blob. The job is to:

  1. classify the recurring workflow,
  2. choose one primary automation mode,
  3. keep local entrypoints, hooks, CI mirrors, and scheduled maintenance honest about scope,
  4. emit one reusable packet with clear route-outs.

Read these support docs first:

If the main ask is:

  • machine/runtime provisioning, local services, devcontainers, or cross-machine reproducibility → use system-environment-setup
  • deployment rollout, hosted CI/CD architecture, preview/staging/prod promotion, or rollback design → use deployment-automation or vercel-deploy
  • branch/rebase/recovery/push safety → use git-workflow
  • test-depth / merge-gate policy → use testing-strategies
  • runtime telemetry / alerts / production visibility → use monitoring-observability

When to use this skill

  • Replace README command sprawl with one repeatable repo-owned command surface
  • Choose between package scripts, Make, just, Task, shell entrypoints, hooks, CI wrappers, or maintenance bots
  • Design setup, bootstrap, dev, test, lint, verify, or ci commands for a repo
  • Tighten the boundary between local workflow glue and hosted CI enforcement
  • Decide whether a repeated chore belongs in hooks, a task runner, or scheduled automation
  • Diagnose a messy workflow layer spread across docs, scripts, hooks, and CI YAML

When not to use this skill

  • The real blocker is machine setup, service topology, toolchain pinning, or container/devcontainer reproducibility
  • The real blocker is release/deploy architecture or cloud runtime automation
  • The real blocker is Git collaboration/recovery rather than repo command design
  • The real blocker is test strategy policy rather than how commands are exposed
  • The commands are already obvious and the only job is trivial implementation

Instructions

Step 1: Normalize the request

Capture the request in this form first:

workflow_intake:
  primary_goal: task-entrypoints | bootstrap-onboarding | local-ci-parity | hook-guardrails | repo-maintenance | workflow-diagnosis | hybrid
  repo_shape: single-app | app-plus-services | monorepo | library-cli | docs-content | game-project | unknown
  current_surface: package-scripts | make-just-task | shell-scripts | ci-workflows | hooks | bots-schedules | mixed | none | unknown
  main_pain:
    - command-sprawl
    - onboarding-drift
    - local-vs-ci-mismatch
    - interactive-script
    - cross-platform-friction
    - duplicated-logic
    - hook-friction
    - bot-noise
    - unclear-owner
    - unknown
  blast_radius: local-dev-loop | repo-plus-ci | multi-team-repo | unknown
  confidence: high | medium | low

If the request is vague, assume the smallest obvious repo-local recurring workflow interpretation and state the assumption.

Step 2: Choose exactly one primary mode

Pick one mode for the current run:

  1. task-entrypoints — one memorable command surface for recurring human-invoked work
  2. bootstrap-onboarding — first-run setup, seed/init, or repeated repo initialization
  3. local-ci-parity — one local verification command that mirrors the critical CI checks
  4. hook-guardrails — fast local hygiene checks before commit/push
  5. repo-maintenance — dependency updates, scheduled cleanup, release-prep chores, stale-item automation
  6. workflow-diagnosis — the workflow layer is messy and needs simplification before more automation is added

Use workflow-diagnosis when the repo currently has too many front doors and you need to simplify before picking the new steady-state mode.

Step 3: Pick the smallest automation surface

Use these defaults:

  • package scripts / Make / just / Task for the human-facing entrypoint layer
  • hooks for fast deterministic guardrails only
  • hosted CI for enforcement, matrices, schedules, and secrets-dependent work
  • local CI wrappers when faster pre-push feedback is the point
  • bots / schedules when the work is recurring maintenance rather than a command humans should type every day

Do not let repo automation silently absorb environment provisioning or deployment architecture.

Step 4: Keep the workflow invariants visible

These rules should survive every answer:

  • prefer one obvious front door over many partially documented ones
  • keep bootstrap flows idempotent and non-interactive by default
  • hooks must stay short, deterministic, and mirrored in CI because local bypass exists
  • local CI parity should mirror the critical checks, not every hosted-runner detail
  • scheduled maintenance needs an owner/review policy, not just a bot config
  • name where local and hosted automation intentionally differ

Step 5: Build the workflow automation packet

Return this structure:

# Workflow Automation Packet

## Recommended mode
- Mode: task-entrypoints | bootstrap-onboarding | local-ci-parity | hook-guardrails | repo-maintenance | workflow-diagnosis
- Why this mode fits: ...

## Current state
- Repo shape: ...
- Current surface: ...
- Main pain: ...
- Blast radius: ...
- Confidence: high | medium | low

## Recommended surface
- Human-facing entrypoint: ...
- Supporting hooks / CI / schedules: ...
- What stays out of scope: ...

## Safest next move
1. ...
2. ...
3. ...

## Guardrails
- Idempotency / non-interactive behavior: ...
- Local vs CI boundary: ...
- Ownership / review policy: ...

## Route-outs
- `system-environment-setup` when ...
- `deployment-automation` / `vercel-deploy` when ...
- `git-workflow` when ...
- `testing-strategies` when ...

Step 6: Use the mode packets, not a giant tool catalog

Pull the exact packet shape from references/mode-packets-and-route-outs.md.

Rules:

  • task-entrypoints should collapse multiple commands into one discoverable human surface
  • bootstrap-onboarding must end with a verification command and state prerequisite boundaries
  • local-ci-parity must call out parity limits such as secrets, services, or matrix differences
  • hook-guardrails must stay fast enough that contributors do not immediately bypass them
  • repo-maintenance must include review cadence / batching / noise control expectations
  • workflow-diagnosis must simplify and dedupe before proposing another layer

Output format

Return a short Workflow Automation Packet or Automation Hardening Brief.

Required qualities:

  • classify the workflow before prescribing tools
  • choose one primary mode
  • prefer the smallest useful surface
  • keep local commands, hooks, CI, and schedules honest about their boundaries
  • make route-outs explicit instead of letting the skill absorb neighboring jobs

Examples

Example 1: messy command surface

Input: "This repo has README commands, a stale Makefile, and random scripts. We need one repeatable automation layer for dev, test, and lint." Output direction: choose workflow-diagnosis, consolidate to one human-facing surface, then route deployment/environment concerns away.

Example 2: local verification before push

Input: "Developers keep pushing just to discover CI failures. I want one local command that mirrors CI enough to catch problems earlier." Output direction: choose local-ci-parity, add one ci wrapper, and state parity limits instead of promising full CI reproduction.

Example 3: onboarding pain

Input: "New contributors need to install tools, copy env files, seed data, and run setup every time they switch branches." Output direction: choose bootstrap-onboarding, recommend one idempotent bootstrap entrypoint, and hand broad machine/service setup to system-environment-setup.

Example 4: scheduled repo chores

Input: "Dependency updates and cleanup tasks keep slipping. Should this live in scripts, hooks, or scheduled automation?" Output direction: choose repo-maintenance, recommend bots/schedules plus review rules, and keep daily developer entrypoints separate.

Best practices

  1. Start from the repeated workflow, not from a favorite tool.
  2. Prefer one discoverable front door over many half-owned surfaces.
  3. Keep repo-local glue separate from environment, deployment, Git policy, and observability.
  4. Treat interactive prompts as a last resort.
  5. If local and CI differ, say exactly where and why.
  6. Simplify and dedupe before adding more automation.

References

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.86%
按下载量换算226

Claude

29.17%
按下载量换算184

Cursor

21.74%
按下载量换算137

Gemini CLI

8.93%
按下载量换算56

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/akillness/oh-my-skills --skill workflow-automation 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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