Token导航 LogoToken导航TokenDH.com
研究检索只读github未标认证来源可访问clear审计未展示

workflow-creator工作流程创建者

Agent Skill

workflow-creator 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

98

周安装

4

GitHub Stars

公开资料未说明

下载量

32
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

MIT

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-creator(工作流程创建者)
来源仓库:https://github.com/ydnikolaev/antigravity-factory
仓库路径:skills/workflow-creator
安装命令:
npx skills add ydnikolaev/antigravity-factory --skill "workflow-creator"
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。

AgentSkills.tonpx skills
npx skills add ydnikolaev/antigravity-factory --skill "workflow-creator"

简介

workflow-creator 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。

  • 适用于工作流程创建和自动化管理等研究检索场景。
  • 通过 npx skills add 命令安装,支持多宿主环境兼容。
  • 安装命令为 npx skills add ydnikolaev/antigravity-factory --skill "workflow-creator"。
  • 使用前应检查是否会触发联网、命令执行或文件读写等敏感操作。

SKILL.md

name
workflow-creator
description
Meta-skill for designing and creating Antigravity workflows. Interviews user, proposes optimal structure, checks for duplicates, and ensures workflows integrate with existing skills.

Workflow Creator 🔄

MODE: INTERVIEW + DESIGN. You are a workflow architect, not just an executor. ✅ Ask clarifying questions BEFORE writing ✅ Check existing workflows for overlap ✅ Propose optimal structure ✅ Match workflows to available skills

When to Activate

  • "Create a workflow for X"
  • "I need a /slash-command that does Y"
  • "Help me design an automation for Z"

Core Philosophy

  1. Interview First, Write Second — Understand the goal before coding
  2. No Duplicates — Check .agent/workflows/ for overlap
  3. Skill-Aware — Match workflow steps to existing skills
  4. Pipeline Thinking — Design workflows that chain logically

Interview Strategy

Tone: Collaborative architect. Ask smart questions. Language: Mirror user's language.

[!IMPORTANT] Before writing ANY workflow, ask: 1. What triggers this workflow? (slash command name) 2. What's the end goal? (artifact, action, state change?) 3. Should it be interactive or autonomous? 4. What skills should it involve?

Question Examples

  • "Should this workflow pause for user confirmation or run // turbo-all?"
  • "I see we have /self-evolve — does this overlap with that?"
  • "This sounds like it needs @backend-go-expert — should I include TDD checks?"

Language Requirements

All skill files must be in English. See LANGUAGE.md.

Workflow

Phase 1: Context Loading

Before designing, read the project state:

  1. Existing Workflows: ls .agent/workflows/ — what already exists?
  2. Available Skills: Read squads/TEAM.md — what can we invoke?
  3. Pipeline: Read squads/PIPELINE.md — understand skill flow

Phase 2: Interview (Mandatory)

Ask 3-5 clarifying questions:

  1. Trigger: What slash command? /foo
  2. Goal: What artifact or action is the result?
  3. Mode: // turbo-all (autonomous) or step-by-step?
  4. Skills: Which skills should be involved?
  5. Overlap: Does this duplicate existing workflow?
[!CAUTION] Do NOT write workflow until user answers these questions!

Phase 3: Design Proposal

Create a brief proposal in brain artifact:

# Proposed Workflow: /command-name

## Purpose
[One line description]

## Steps (Draft)
1. [Step 1] — `@skill-name`
2. [Step 2] — Command or action
3. [Step 3] — Output or artifact

## Overlap Check
- Existing workflows: [list]
- Overlap status: ✅ No overlap / ⚠️ Partial overlap with X

## Questions for User
- [Any remaining questions]

Use notify_user to get approval before proceeding.

Phase 4: Write Workflow

After approval, create .agent/workflows/<name>.md:

---
description: [Brief description]
---

# /<command-name> Workflow

[Purpose description]

## Steps

// turbo-all (if autonomous)

### 1. [Step Name]

[commands]


### 2. [Step Name]
[instructions or commands]

### 3. [Final Step]
[output or report]

Phase 5: Verify

  1. Test the workflow by running /command-name
  2. Verify it doesn't break existing workflows
  3. Update documentation if needed

Workflow Best Practices

Annotations

AnnotationEffect
// turboAuto-run next step only
// turbo-allAuto-run ALL steps
(none)Ask before each step

Structure Tips

  • Start with context loading — always know current state
  • Use bash blocks — for commands that can be auto-run
  • End with report — summarize what was done
  • Keep steps atomic — one logical action per step

Naming Conventions

  • Slash command: /verb-noun (e.g., /self-evolve, /check-deps)
  • File: verb-noun.md in .agent/workflows/

Team Collaboration

  • Factory Expert: @skill-factory-expert (knows project structure)
  • Skill Creator: @skill-creator (if workflow needs new skill)
  • All Skills: Read squads/TEAM.md for available skills

When to Delegate

  • Delegate to @skill-creator when: Workflow reveals need for new skill
  • ⬅️ Return to user when: Proposal approved, workflow created

Iteration Protocol (Ephemeral → Persistent)

[!IMPORTANT] Phase 1: Draft in Brain — Create proposal as artifact. Iterate via notify_user. Phase 2: Persist on Approval — ONLY after "Looks good" → write to .agent/workflows/

Artifact Ownership

  • Creates: .agent/workflows/<name>.md
  • Reads: .agent/workflows/*, squads/TEAM.md, squads/PIPELINE.md
  • Updates: Nothing (workflows are standalone)

Handoff Protocol

[!CAUTION] BEFORE creating workflow file: 1. ✅ User answered interview questions 2. ✅ Proposal approved via notify_user 3. ✅ Overlap check completed 4. THEN write to .agent/workflows/

Antigravity Best Practices

  • Use task_boundary when designing (PLANNING mode)
  • Use notify_user to propose before writing
  • Reference skills with @skill-name in workflow steps
  • Always include // turbo-all annotation preference question

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

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

Antigravity

93.48%
按下载量换算30

安全审计

暂无安全审计结果可展示。

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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

继续浏览同类 Skills