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Agent Skill · 研究检索

skill-creator(技能创建器)

skill-creator 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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,权限为只读;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 9,916。

总安装 13,383周安装 569GitHub Stars 35,734下载 4,689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/sickn33/antigravity-awesome-skills
仓库路径:skills/skill-creator
安装命令:
npx skills add https://github.com/sickn33/antigravity-awesome-skills --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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/sickn33/antigravity-awesome-skills --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。

遵循 Anthropic 标准,通过零手动设置自动创建新的 CLI 技能。

通过可视化进度跟踪,引导用户分五个阶段进行交互式头脑风暴、提示细化、文件生成、验证和安装 从模板生成标准化 SKILL.md 和 README.md 文件,自动替换技能名称、描述、作者和元数据 根据 Anthropic 最佳实践验证 YAML 标题、内容质量、字数和写作风格;提供常见问题的自动修复 支持安装到本地存储库、全局符号链接或两者;检测可用平台(Copilot、Claude、Codex)并进行相应安装 包括捆绑资源:详细指南、工作示例以及用于技能维护和批量验证的实用脚本

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 https://github.com/sickn33/antigravity-awesome-skills --skill ski…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

skill-creator 怎么安装?

在终端执行 npx skills add https://github.com/sickn33/antigravity-awesome-skills --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。

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 13,383 次,近一周安装 569 次,下载 4,689 次,GitHub 35,734 星。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?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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

13,38335,734只读MIT通过

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

Purpose

To create new CLI skills following Anthropic's official best practices with zero manual configuration. This skill automates brainstorming, template application, validation, and installation processes while maintaining progressive disclosure patterns and writing style standards.

When to Use This Skill

This skill should be used when:

  • User wants to extend CLI functionality with custom capabilities
  • User needs to create a skill following official standards
  • User wants to automate repetitive CLI tasks with a reusable skill
  • User needs to package domain knowledge into a skill format
  • User wants both local and global skill installation options

Core Capabilities

  1. Interactive Brainstorming - Collaborative session to define skill purpose and scope
  2. Prompt Enhancement - Optional integration with prompt-engineer skill for refinement
  3. Template Application - Automatic file generation from standardized templates
  4. Validation - YAML, content, and style checks against Anthropic standards
  5. Installation - Local repository or global installation with symlinks
  6. Progress Tracking - Visual gauge showing completion status at each step

Step 0: Discovery

Before starting skill creation, gather runtime information:

# Detect available platforms
COPILOT_INSTALLED=false
CLAUDE_INSTALLED=false
CODEX_INSTALLED=false

if command -v gh &>/dev/null && gh copilot --version &>/dev/null 2>&1; then
    COPILOT_INSTALLED=true
fi

if [[ -d "$HOME/.claude" ]]; then
    CLAUDE_INSTALLED=true
fi

if [[ -d "$HOME/.codex" ]]; then
    CODEX_INSTALLED=true
fi

# Determine working directory
REPO_ROOT=$(git rev-parse --show-toplevel 2>/dev/null || pwd)
SKILLS_REPO="$REPO_ROOT"

# Check if in cli-ai-skills repository
if [[ ! -d "$SKILLS_REPO/.github/skills" ]]; then
    echo "⚠️  Not in cli-ai-skills repository. Creating standalone skill."
    STANDALONE=true
fi

# Get user info from git config
AUTHOR=$(git config user.name || echo "Unknown")
EMAIL=$(git config user.email || echo "")

Key Information Needed:

  • Which platforms to target (Copilot, Claude, Codex, or all three)
  • Installation preference (local, global, or both)
  • Skill name and purpose
  • Skill type (general, code, documentation, analysis)

Main Workflow

Progress Tracking Guidelines

Throughout the workflow, display a visual progress bar before starting each phase to keep the user informed. The progress bar format is:

[████████████░░░░░░] 60% - Step 3/5: Creating SKILL.md

Format specifications:

  • 20 characters wide (use █ for filled, ░ for empty)
  • Percentage based on current step (Step 1=20%, Step 2=40%, Step 3=60%, Step 4=80%, Step 5=100%)
  • Step counter showing current/total (e.g., "Step 3/5")
  • Brief description of current phase

Display the progress bar using:

echo "[████░░░░░░░░░░░░░░] 20% - Step 1/5: Brainstorming & Planning"

Phase 1: Brainstorming & Planning

Progress: Display before starting this phase:

echo "[████░░░░░░░░░░░░░░] 20% - Step 1/5: Brainstorming & Planning"

Display progress:

╔══════════════════════════════════════════════════════════════╗
║     🛠️  SKILL CREATOR - Creating New Skill                  ║
╠══════════════════════════════════════════════════════════════╣
║ → Phase 1: Brainstorming                 [10%]               ║
║ ○ Phase 2: Prompt Refinement                                 ║
║ ○ Phase 3: File Generation                                   ║
║ ○ Phase 4: Validation                                        ║
║ ○ Phase 5: Installation                                      ║
╠══════════════════════════════════════════════════════════════╣
║ Progress: ███░░░░░░░░░░░░░░░░░░░░░░░░░░░  10%              ║
╚══════════════════════════════════════════════════════════════╝

Ask the user:

  1. What should this skill do? (Free-form description)

- Example: "Help users debug Python code by analyzing stack traces"

  1. When should it trigger? (Provide 3-5 trigger phrases)

- Example: "debug Python error", "analyze stack trace", "fix Python exception"

  1. What type of skill is this?

- General purpose (default template) - Code generation/modification - Documentation creation/maintenance - Analysis/investigation

  1. Which platforms should support this skill?

- GitHub Copilot CLI - Claude Code - Codex - All three (recommended)

  1. Provide a one-sentence description (will appear in metadata)

- Example: "Analyzes Python stack traces and suggests fixes"

Capture responses and prepare for next phase.

Phase 2: Prompt Enhancement (Optional)

Progress: Display before starting this phase:

echo "[████████░░░░░░░░░░] 40% - Step 2/5: Prompt Enhancement"

Update progress:

╔══════════════════════════════════════════════════════════════╗
║ ✓ Phase 1: Brainstorming                                     ║
║ → Phase 2: Prompt Refinement             [30%]               ║
╠══════════════════════════════════════════════════════════════╣
║ Progress: █████████░░░░░░░░░░░░░░░░░░░░░  30%              ║
╚══════════════════════════════════════════════════════════════╝

Ask the user: "Would you like to refine the skill description using the prompt-engineer skill?"

  • Yes - Use prompt-engineer to enhance clarity and structure
  • No - Proceed with current description

If Yes:

  1. Check if prompt-engineer skill is available
  2. Invoke with current description as input
  3. Review enhanced output with user
  4. Ask: "Accept enhanced version or keep original?"

If No or prompt-engineer unavailable:

  • Proceed with original user input

Phase 3: File Generation

Progress: Display before starting this phase:

echo "[████████████░░░░░░] 60% - Step 3/5: File Generation"

Update progress:

╔══════════════════════════════════════════════════════════════╗
║ ✓ Phase 1: Brainstorming                                     ║
║ ✓ Phase 2: Prompt Refinement                                 ║
║ → Phase 3: File Generation               [50%]               ║
╠══════════════════════════════════════════════════════════════╣
║ Progress: ███████████████░░░░░░░░░░░░░░░  50%              ║
╚══════════════════════════════════════════════════════════════╝

Generate skill structure:

# Convert skill name to kebab-case
SKILL_NAME=$(echo "$USER_INPUT" | tr '[:upper:]' '[:lower:]' | tr ' ' '-')

# Create directories
if [[ "$PLATFORM" =~ "copilot" ]]; then
    mkdir -p ".github/skills/$SKILL_NAME"/{references,examples,scripts}
fi

if [[ "$PLATFORM" =~ "claude" ]]; then
    mkdir -p ".claude/skills/$SKILL_NAME"/{references,examples,scripts}
fi

if [[ "$PLATFORM" =~ "codex" ]]; then
    mkdir -p ".codex/skills/$SKILL_NAME"/{references,examples,scripts}
fi

Apply templates:

  1. SKILL.md - Use appropriate template:

- skill-template-copilot.md, skill-template-claude.md, or skill-template-codex.md - Substitute placeholders: - {{SKILL_NAME}} → kebab-case name - {{DESCRIPTION}} → one-line description - {{TRIGGERS}} → comma-separated trigger phrases - {{PURPOSE}} → detailed purpose from brainstorming - {{AUTHOR}} → from git config - {{DATE}} → current date (YYYY-MM-DD) - {{VERSION}} → "1.0.0"

  1. README.md - Use readme-template.md:

- User-facing documentation (300-500 words) - Include installation instructions - Add usage examples

  1. References/ (optional but recommended):

- Create detailed-guide.md for extended documentation (2k-5k words) - Move lengthy content here to keep SKILL.md under 2k words

File creation commands:

# Apply template with substitution
sed "s/{{SKILL_NAME}}/$SKILL_NAME/g; \
     s/{{DESCRIPTION}}/$DESCRIPTION/g; \
     s/{{AUTHOR}}/$AUTHOR/g; \
     s/{{DATE}}/$(date +%Y-%m-%d)/g" \
    resources/templates/skill-template-copilot.md \
    > ".github/skills/$SKILL_NAME/SKILL.md"

# Create README
sed "s/{{SKILL_NAME}}/$SKILL_NAME/g" \
    resources/templates/readme-template.md \
    > ".github/skills/$SKILL_NAME/README.md"

# Apply template for Codex if selected
if [[ "$PLATFORM" =~ "codex" ]]; then
    sed "s/{{SKILL_NAME}}/$SKILL_NAME/g; \
         s/{{DESCRIPTION}}/$DESCRIPTION/g; \
         s/{{AUTHOR}}/$AUTHOR/g; \
         s/{{DATE}}/$(date +%Y-%m-%d)/g" \
        resources/templates/skill-template-codex.md \
        > ".codex/skills/$SKILL_NAME/SKILL.md"

    sed "s/{{SKILL_NAME}}/$SKILL_NAME/g" \
        resources/templates/readme-template.md \
        > ".codex/skills/$SKILL_NAME/README.md"
fi

Display created structure:

✅ Created:
   .github/skills/your-skill-name/ (if Copilot selected)
   .claude/skills/your-skill-name/ (if Claude selected)
   .codex/skills/your-skill-name/ (if Codex selected)
   ├── SKILL.md (832 lines)
   ├── README.md (347 lines)
   ├── references/
   ├── examples/
   └── scripts/

Phase 4: Validation

Progress: Display before starting this phase:

echo "[████████████████░░] 80% - Step 4/5: Validation"

Update progress:

╔══════════════════════════════════════════════════════════════╗
║ ✓ Phase 3: File Generation                                   ║
║ → Phase 4: Validation                    [70%]               ║
╠══════════════════════════════════════════════════════════════╣
║ Progress: █████████████████████░░░░░░░░░  70%              ║
╚══════════════════════════════════════════════════════════════╝

Run validation scripts:

# Validate YAML frontmatter
scripts/validate-skill-yaml.sh ".github/skills/$SKILL_NAME"

# Validate content quality
scripts/validate-skill-content.sh ".github/skills/$SKILL_NAME"

Expected output:

🔍 Validating YAML frontmatter...
✅ YAML frontmatter valid!

🔍 Validating content...
✅ Word count excellent: 1847 words
✅ Content validation complete!

If validation fails:

  • Display specific errors
  • Offer to fix automatically (common issues)
  • Ask user to manually correct complex issues

Common auto-fixes:

  • Convert second-person to imperative form
  • Reformat description to third-person
  • Add missing required fields

Phase 5: Installation

Progress: Display before starting this phase:

echo "[████████████████████] 100% - Step 5/5: Installation"

Update progress:

╔══════════════════════════════════════════════════════════════╗
║ ✓ Phase 4: Validation                                        ║
║ → Phase 5: Installation                  [90%]               ║
╠══════════════════════════════════════════════════════════════╣
║ Progress: ██████████████████████████░░░░░  90%              ║
╚══════════════════════════════════════════════════════════════╝

Ask the user: "How would you like to install this skill?"

  • Repository only - Files created in .github/skills/ (works when in repo)
  • Global installation - Create symlinks in ~/.copilot/skills/ (works everywhere)
  • Both - Repository + global symlinks (recommended, auto-updates with git pull)
  • Skip installation - Just create files

If global installation selected:

# Detect which platforms to install for
INSTALL_TARGETS=()

if [[ "$COPILOT_INSTALLED" == "true" ]] && [[ "$PLATFORM" =~ "copilot" ]]; then
    INSTALL_TARGETS+=("copilot")
fi

if [[ "$CLAUDE_INSTALLED" == "true" ]] && [[ "$PLATFORM" =~ "claude" ]]; then
    INSTALL_TARGETS+=("claude")
fi

if [[ "$CODEX_INSTALLED" == "true" ]] && [[ "$PLATFORM" =~ "codex" ]]; then
    INSTALL_TARGETS+=("codex")
fi

# Ask user to confirm detected platforms
echo "Detected platforms: ${INSTALL_TARGETS[*]}"
echo "Install for these platforms? [Y/n]"

Installation process:

# GitHub Copilot CLI
if [[ " ${INSTALL_TARGETS[*]} " =~ " copilot " ]]; then
    ln -sf "$SKILLS_REPO/.github/skills/$SKILL_NAME" \
           "$HOME/.copilot/skills/$SKILL_NAME"
    echo "✅ Installed for GitHub Copilot CLI"
fi

# Claude Code
if [[ " ${INSTALL_TARGETS[*]} " =~ " claude " ]]; then
    ln -sf "$SKILLS_REPO/.claude/skills/$SKILL_NAME" \
           "$HOME/.claude/skills/$SKILL_NAME"
    echo "✅ Installed for Claude Code"
fi

# Codex
if [[ " ${INSTALL_TARGETS[*]} " =~ " codex " ]]; then
    ln -sf "$SKILLS_REPO/.codex/skills/$SKILL_NAME" \
           "$HOME/.codex/skills/$SKILL_NAME"
    echo "✅ Installed for Codex"
fi

Verify installation:

# Check symlinks
ls -la ~/.copilot/skills/$SKILL_NAME 2>/dev/null
ls -la ~/.claude/skills/$SKILL_NAME 2>/dev/null
ls -la ~/.codex/skills/$SKILL_NAME 2>/dev/null

Phase 6: Completion

Progress: Display completion message:

echo "[████████████████████] 100% - ✓ Skill created successfully!"

Update progress:

╔══════════════════════════════════════════════════════════════╗
║ ✓ Phase 5: Installation                                      ║
║ ✅ SKILL CREATION COMPLETE!                                  ║
╠══════════════════════════════════════════════════════════════╣
║ Progress: ██████████████████████████████  100%              ║
╚══════════════════════════════════════════════════════════════╝

Display summary:

🎉 Skill created successfully!

📦 Skill Name: your-skill-name
📁 Location: .github/skills/your-skill-name/
🔗 Installed: Global (Copilot + Claude)

📋 Files Created:
   ✅ SKILL.md (1,847 words)
   ✅ README.md (423 words)
   ✅ references/ (empty, ready for extended docs)
   ✅ examples/ (empty, ready for code samples)
   ✅ scripts/ (empty, ready for utilities)

🚀 Next Steps:
   1. Test the skill: Try trigger phrases in CLI
   2. Add examples: Create working code samples in examples/
   3. Extend docs: Add detailed guides to references/
   4. Commit changes: git add .github/skills/your-skill-name && git commit
   5. Share: Push to repository for team use

💡 Pro Tips:
   - Keep SKILL.md under 2,000 words (currently: 1,847)
   - Move detailed content to references/ folder
   - Add executable scripts to scripts/ folder
   - Update README.md with real usage examples
   - Run validation before committing: scripts/validate-skill-yaml.sh

Error Handling

Platform Detection Issues

If platforms cannot be detected:

⚠️  Unable to detect GitHub Copilot CLI or Claude Code

Would you like to:
1. Install for repository only (works when in repo)
2. Specify platform manually
3. Skip installation

Template Not Found

If templates are missing:

❌ Error: Template not found at resources/templates/

This skill requires the cli-ai-skills repository structure.

Options:
1. Clone cli-ai-skills: git clone <repo-url>
2. Create minimal skill structure manually
3. Exit and set up templates first

Validation Failures

If content doesn't meet standards:

⚠️  Validation Issues Found:

1. YAML: Description not in third-person format
   Expected: "This skill should be used when..."
   Found: "Use this skill when..."

2. Content: Word count too high (5,342 words, max 5,000)
   Suggestion: Move detailed sections to references/

Fix automatically? [Y/n]

Installation Conflicts

If symlink already exists:

⚠️  Skill already installed at ~/.copilot/skills/your-skill-name

Options:
1. Overwrite existing installation
2. Rename new skill
3. Skip installation
4. Install to different location

Bundled Resources

This skill includes additional resources in subdirectories:

references/

Detailed documentation loaded when needed:

  • anthropic-best-practices.md - Official Anthropic skill development guidelines
  • writing-style-guide.md - Writing standards and examples
  • progressive-disclosure.md - Content organization patterns
  • validation-checklist.md - Pre-commit quality checks

examples/

Working examples demonstrating skill usage:

  • basic-skill-creation.md - Simple skill creation walkthrough
  • advanced-skill-bundled-resources.md - Complex skill with references/
  • global-installation.md - Installing skills system-wide

scripts/

Executable utilities for skill maintenance:

  • validate-all-skills.sh - Batch validation of all skills in repository
  • update-skill-version.sh - Bump version and update changelog
  • generate-skill-index.sh - Auto-generate skills catalog

Technical Implementation Notes

Template Substitution:

  • Use sed for simple replacements
  • Preserve YAML formatting exactly
  • Handle multi-line descriptions with proper escaping

Symlink Strategy:

  • Always use absolute paths: ln -sf /full/path/to/source ~/.copilot/skills/name
  • Verify symlink before considering installation complete
  • Benefits: Auto-updates when repository is pulled

Validation Integration:

  • Run validation before installation
  • Block installation if critical errors found
  • Warnings are informational only

Git Integration:

  • Extract author from git config user.name
  • Use repository root detection: git rev-parse --show-toplevel
  • Respect .gitignore patterns

Quality Standards

SKILL.md Requirements:

  • 1,500-2,000 words (ideal)
  • Under 5,000 words (maximum)
  • Third-person description format
  • Imperative/infinitive writing style
  • Progressive disclosure pattern

README.md Requirements:

  • 300-500 words
  • User-facing language
  • Clear installation instructions
  • Practical usage examples

Validation Checks:

  • YAML frontmatter completeness
  • Description format (third-person)
  • Word count limits
  • Writing style (no second-person)
  • Required fields present

References

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

平台分布

Claude Code

25.28%
按下载量换算1,185

OpenCode

22.58%
按下载量换算1,059

Antigravity

18.72%
按下载量换算878

Gemini CLI

13.55%
按下载量换算635

Cursor

7.38%
按下载量换算346

Codex

3.39%
按下载量换算159

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。

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