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skill-creator技能创建器

Agent Skill

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。

总安装

96

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: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"

简介

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。

SKILL.md

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.

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

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

external-service

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。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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