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Agent Skill · 研究检索

skill-creator(技能创建器)

skill-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。

skill-creator 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 73,349。

总安装 96周安装 4GitHub Stars 公开资料未说明下载 32核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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:skill-creator(技能创建器)
来源仓库:https://github.com/ydnikolaev/antigravity-factory
仓库路径:skills/skill-creator
安装命令:
npx skills add ydnikolaev/antigravity-factory --skill "skill-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 "skill-creator"

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

skill-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。适用于技能发现、安装和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 "skill-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。

来源仓库内路径:skills/skill-creator

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add ydnikolaev/antigravity-factory --skill "skill-creator";命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

skill-creator 怎么安装?

在终端执行 npx skills add ydnikolaev/antigravity-factory --skill "skill-creator"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

skill-creator 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

skill-creator 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

skill-creator 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

skill-creator 用的人多吗?

公开数据是累计安装 96 次,近一周安装 4 次,下载 32 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

skill-creator 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
skill-creator

技能创建器 · 本页

96—调用外部服务MIT未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Skill Creator: The Design System

This skill uses a "Design First, Code Second" approach. Your goal is not just to create a folder, but to design an effective tool for an autonomous agent.

Core Philosophy

  1. Concise is Key: The context window is precious. Do not overload SKILL.md.

- Limit: Keep SKILL.md under 500 lines. - Strategy: Move large prompt chains, examples, or schemas to resources/ or references/.

  1. Progressive Disclosure:

- Level 1: Metadata (Name/Description) - Agent sees this first. - Level 2: SKILL.md - Agent reads this only when activated. - Level 3: Scripts/References - Agent reads/runs these only when needed.

  1. IDE Awareness:

- Always use absolute paths. - Use task_boundary for long-running workflows. - Assume the agent knows nothing about the file structure until it runs ls.

  1. Artifact Persistence (Dual-Write Pattern): [!IMPORTANT] Phase 1: Draft in Brain (Ephemeral) Create artifacts in brain/ directory. Iterate with user via notify_user. All Q&A, sketches, and intermediate versions stay here. Phase 2: Persist on Approval (Permanent) ONLY after user says "Looks good" → copy final content to project/docs/ path. The project/docs/ folder is the only memory that survives between sessions.

- Why Two Phases? Brain = safe iteration space (no git pollution). Docs = approved truth. - Requirement: Every skill MUST save its final output to project/docs/ before handoff. - Registry: Update project/docs/ARTIFACT_REGISTRY.md to signal the baton is ready.

Repository Structure

This repository is a Skill Factory that separates the creator from the products:

ag-skill-factory/
├── .agent/skills/         # Factory tooling (only skill-creator)
│   └── skill-creator/     # This skill - creates other skills
├── squads/                # Generated skills live here
│   ├── backend-go-expert/
│   ├── frontend-nuxt/
│   └── ...
└── Makefile               # Links skills to global brain
IMPORTANT: All new skills MUST be created in squads/, NOT in .agent/skills/ or directly in the global brain.

Skill Creation Workflow

Phase 1: Design (Mental Step)

Before running any script, answer these questions:

  1. What is the Trigger? What user intent triggers this skill? (Write this in the Description).
  2. What is the Decision Tree? Does the skill have one path or multiple? (If multiple, plan a "Decision Tree" section).
  3. What are the Resources? Do I need a Python script for logic? A Markdown template for output?

Phase 2: Scaffold

Run the initialization script to create the standard structure in squads/:

# ALWAYS create skills in squads/ directory
python3 .agent/skills/skill-creator/scripts/init_skill.py <skill-name>

This creates:

squads/<skill-name>/
├── SKILL.md          # The "Brain": Logic, Decisions, Workflow.
├── scripts/          # The "Hands": Python/Bash scripts for execution.
├── resources/        # The "Tools": Templates, Configs (e.g., Dockerfile).
├── examples/         # The "Demos": Usage examples.
└── references/       # The "Library": Documentation, Cheatsheets.

Phase 3: Refine

Edit the generated files:

  1. Fill the Decision Tree: Map user inputs to actions.
  2. Write the Workflow: Step-by-step instructions.
  3. Clean up: Remove unused sections from the template.
  4. Adapt the checklist: Rewrite references/checklist.md for this skill's domain.

- Mandatory: Keep the 🚨 Document Persistence section! - The template checklist is generic — make it specific! - Example: For an MCP skill, add checks for "stdio transport", "tool descriptions", etc.

  1. Define Artifact Ownership: What files does this skill own in project/docs/?

Phase 4: Verify

Run the validation script:

make validate SKILL=<skill-name>

This checks:

  • Frontmatter, length (<500 lines)
  • Team Collaboration & When to Delegate sections
  • Customized checklist in references/
  • No large embedded code blocks

Fix all errors before installing.

Phase 5: Install (Link to Global Brain)

After creating and refining the skill, link it to the global brain:

make install    # Validates all, generates TEAM.md, then links

This copies skills from squads/<skill-name>/ → ~/.gemini/antigravity/global_skills/<skill-name>/.

Makefile Commands

CommandDescription
make installValidate all, generate TEAM.md, link all skills
make validate SKILL=<name>Validate a single skill (detailed output)
make validate-allValidate all skills
make generate-teamRegenerate squads/TEAM.md
make install-factoryInstall only skill-creator
make install-squadsInstall only skills from squads/
make uninstallRemove all symlinks

Anti-Patterns

❌ DO NOT create skills directly in ~/.gemini/antigravity/global_skills/ ❌ DO NOT use the --global flag in init_skill.py ❌ DO NOT place new skills in .agent/skills/ (reserved for factory tooling)

✅ DO create skills in squads/ ✅ DO use make install-squads to link them globally

Content Organization Rules

SKILL.md should contain:

  • Decisions, workflows, and logic (the "brain")
  • Artifact Ownership: What docs this skill creates/updates
  • Handoff Protocol: Rules for passing the baton
  • Brief inline examples (max 5-10 lines)
  • References to detailed examples: See examples/python-server.py

examples/ should contain:

  • Full working code examples (complete files)
  • Configuration samples
  • Complete templates

references/ should contain:

  • Cheatsheets and quick reference guides
  • External documentation links
  • Troubleshooting guides

resources/ should contain:

  • Templates for generation
  • Config files
  • Static assets
CRITICAL: Do NOT embed large code blocks (>10 lines) in SKILL.md. Instead, create files in examples/ and reference them.

Language Requirements

CRITICAL: All skill files MUST be written in English.

Why English?

  • Skills are consumed by AI agents globally
  • English ensures consistent parsing and understanding
  • Easier to maintain and contribute

Localization rule:

  • SKILL.md, references/, resources/, examples/ → English only
  • Agent runtime communication → User's language (agent adapts automatically)
Validation will check for Cyrillic characters and fail if found in skill files.

Team Collaboration

Every skill should know about the team. Add these sections to SKILL.md:

Team Collaboration — List related skills by role:

## Team Collaboration
- **<Role>**: `@<skill-name>` (Brief description of collaboration)
- **<Role>**: `@<skill-name>` (Brief description of collaboration)

When to Delegate — When to hand off to another skill:

## When to Delegate
- ✅ **Delegate to `@<skill-name>`** when: <Condition for handoff>
- ⬅️ **Return to `@<skill-name>`** if: <Condition to return>
Team Reference: See squads/TEAM.md for the full list of available skills.

平台分布

Antigravity

82.79%
按下载量换算26

安全审计

暂无安全审计结果可展示。

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。目前只有一个公开来源,建议同时核对源仓库。

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