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Agent Skill · 研究检索

create-skill(创造技能)

create-skill 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。

create-skill 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,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,674 个 Skill 里排第 65,612。

总安装 279周安装 12GitHub Stars 124下载 98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
unknown

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:create-skill(创造技能)
来源仓库:https://github.com/kenneth-liao/ai-launchpad-marketplace
仓库路径:skills/create-skill
安装命令:
npx skills add https://github.com/kenneth-liao/ai-launchpad-marketplace --skill create-skill
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/kenneth-liao/ai-launchpad-marketplace --skill create-skill

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。

create-skill 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于根据关键词、任务场景或来源线索进行信息定位和整理。通过 npx skills add 命令从指定 GitHub 仓库安装使用。

安装前需确认权限范围、维护状态及是否涉及联网或文件操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/create-skill

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/kenneth-liao/ai-launchpad-marketplace --skill…;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

    它需要需要联网,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

create-skill 怎么安装?

在终端执行 npx skills add https://github.com/kenneth-liao/ai-launchpad-marketplace --skill create-ski…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

create-skill 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。

create-skill 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

create-skill 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

create-skill 用的人多吗?

公开数据是累计安装 279 次,近一周安装 12 次,下载 98 次,GitHub 124 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。

create-skill 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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

  • 需要明确授权才能用到公司项目里的场景。
  • 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
create-skill

创造技能 · 本页

279124需要联网未明确有提醒

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

Create Skill

Overview

This meta-skill guides the creation of new skills that conform to the composable skill architecture. Every skill in the system follows a consistent pattern: it belongs to a category, lives in the right plugin, uses the right template, and includes the required composition hooks. This skill enforces all of that.

Core Principle: The skill-forge exists to enforce consistency. New skills should look and behave like existing ones. If a new skill breaks the pattern, it breaks the architecture.

When to Use

Use this skill when:

  • Creating a new skill from scratch
  • Adding a skill to an existing plugin
  • Creating a new plugin with its first skill
  • Unsure which category or plugin a skill belongs in
  • Wanting to ensure a skill follows the framework rules

Skill Creation Workflow

Execute all steps below in order. Do not skip steps.

Step 1: Understand the Skill

Ask the user what the skill needs to do. Gather:

  • Purpose: What problem does this skill solve?
  • Trigger: When should this skill be invoked? By a user directly, or by another skill?
  • Inputs: What does the skill need to start? (topic, source material, context from another skill)
  • Outputs: What does the skill produce? (content, plan, visual asset, reference document)
  • Interactions: Does the skill invoke other skills, or is it invoked by other skills?

If the user's description suggests the skill is trying to do two things, flag it immediately: "This sounds like two skills. The framework rule is: if it's trying to be two things, split it."

If the skill is classified as a Task in Step 2, also ask:

  • Scripts: Does the skill include executable Python scripts (API wrappers, data processors, image generators)? If yes, this is a script-bearing task skill and will use the uv + PEP 723 architecture in Step 6.

Step 2: Classify the Skill

MANDATORY: Read references/taxonomy.md to classify the skill into one of five categories.

Walk through the decision tree with the user:

  1. Does it provide information that shapes other skills' output? --> Knowledge
  2. Does it define how output sounds/feels? --> Personality
  3. Does it do one specific thing well (research, write, generate)? --> Task
  4. Does it sequence multiple task skills for a platform-specific workflow? --> Orchestrator
  5. Does it create or maintain other skills within the framework? --> Meta

Present the classification to the user with rationale. If the classification is ambiguous, explain the tradeoffs and let the user decide.

Step 3: Determine Plugin Placement

Based on the classification, determine where the skill belongs:

Knowledge skills --> Typically branding-kit/ or a new domain-specific knowledge plugin Personality skills --> Typically writing/ Task skills --> One of the foundation plugins:

  • writing/ -- for content production skills
  • content-strategy/ -- for research, title, hook, and planning skills
  • visual-design/ -- for image and visual asset skills
  • Or a new foundation plugin if the skill doesn't fit existing ones Orchestrator skills --> Platform-specific plugins:
  • youtube/ -- for YouTube workflows
  • substack/ -- for Substack workflows
  • Or a new orchestrator plugin for a new platform Meta skills --> skill-forge/

If the skill doesn't fit an existing plugin, create a new plugin:

  1. Create the plugin directory with .claude-plugin/plugin.json
  2. Create a README.md for the plugin
  3. Place the skill in skills/[skill-name]/

Step 4: Invoke Skill Authoring Best Practices

MANDATORY: Invoke skill-creator:skill-creator to load skill authoring best practices. This provides guidance on:

  • SKILL.md writing style (imperative/infinitive form)
  • Frontmatter quality (name and description determine when Claude uses the skill)
  • Progressive disclosure (metadata -> SKILL.md -> references)
  • Bundled resource organization (scripts, references, assets)

Apply these best practices throughout the remaining steps.

Step 5: Invoke Writing Skills Guidance

MANDATORY: Invoke superpowers:writing-skills to load guidance on skill file structure and quality. This provides patterns for:

  • How to structure SKILL.md sections
  • How to write clear, actionable instructions
  • How to organize reference files
  • Quality standards for skill content

Apply this guidance throughout the remaining steps.

Step 6: Load and Apply the Template

Based on the skill's category, load the appropriate template from references/:

CategoryTemplate File
Knowledgereferences/skill-template-knowledge.md
Personalityreferences/skill-template-personality.md
Taskreferences/skill-template-task.md
Orchestratorreferences/skill-template-orchestrator.md
MetaUse this skill (create-skill) as the reference pattern

MANDATORY: Read the template file before generating the skill. The template defines the required sections and structure for the category.

For script-bearing task skills: After loading references/skill-template-task.md, activate the conditional sections marked <!-- CONDITIONAL -->. These add:

  • Prerequisites section with uv check and install instructions
  • Scripts section with PEP 723 pattern and script conventions
  • Downstream Integration patterns for CLI and Python API consumption

Use art:nanobanana as the reference implementation for this pattern.

Step 7: Generate the Skill

Generate the SKILL.md file following the template structure. For each section:

  1. Fill in the frontmatter with a descriptive name and description
  2. Write the overview explaining what the skill does
  3. Define when to use the skill
  4. Build the workflow or content sections per the template
  5. Add composition hooks per references/composition-patterns.md
  6. Write the quality checklist

MANDATORY: Read references/composition-patterns.md to apply the correct composition hooks based on the skill category:

  • Task skills: Must include voice application and brand compliance hooks
  • Orchestrator skills: Must delegate to task skills using plugin:skill syntax
  • Knowledge skills: Must document how other skills reference them
  • Personality skills: Must document how other skills invoke them

If the skill needs platform-specific references (e.g., YouTube title formulas, newsletter structure), create those reference files in references/ and document them in the Content Type Resolution table.

Step 8: Validate Against Framework Rules

Before finalizing, verify the skill against all framework constraints:

Structural Validation:

  • SKILL.md is under 500 lines
  • Directory structure is flat (max 2 levels: skills/[skill-name]/ with optional references/)
  • Frontmatter includes name and description
  • Description clearly states what the skill does and when to use it

Category-Specific Validation:

For Task skills:

  • Includes voice application hook: "Invoke writing:voice before finalizing any written output"
  • Includes brand compliance hook: "When creating assets for The AI Launchpad, invoke branding-kit:brand-guidelines"
  • Content Type Resolution table present (if skill handles multiple content types)
  • Quality checklist present
  • Does one thing well -- not trying to be two skills

For Script-bearing task skills (in addition to standard Task validation):

  • scripts/ directory exists in the skill directory
  • Every .py file in scripts/ contains a PEP 723 inline dependency block (# /// script)
  • PEP 723 block includes requires-python version constraint
  • PEP 723 block includes dependencies list (can be empty [])
  • SKILL.md never references python3 as the primary execution method -- always uv run
  • Prerequisites section present with uv check and install instructions
  • Script return format documented (consistent dict structure)
  • CLI usage with --help documented in SKILL.md

For Orchestrator skills:

  • Is a THIN orchestrator -- delegates to task skills, does not implement content generation
  • All content generation steps use plugin:skill invocation syntax
  • Never generates titles, hooks, content, or visuals manually
  • Output structure template present
  • Quality checklist verifies each skill invocation happened

For Knowledge skills:

  • Contains the knowledge content directly (guidelines, rules, specifications)
  • Documents how other skills should reference it
  • Platform-specific knowledge lives in references/, not in SKILL.md

For Personality skills:

  • Defines personality rules clearly (voice characteristics, tone, style)
  • Lists anti-patterns (what to avoid)
  • Documents how other skills should invoke it

For Meta skills:

  • Serves the framework itself (creates, maintains, or validates other skills)
  • References framework documentation as needed

Composition Validation:

  • If the skill produces written output, it invokes writing:voice
  • If the skill produces branded assets, it invokes branding-kit:brand-guidelines
  • If the skill delegates to other skills, it uses plugin:skill syntax
  • Platform-specific content lives in references/, not inline in SKILL.md

If any validation fails, fix the issue before proceeding.

Step 9: Place the Skill

Write the skill files to the correct plugin directory:

  1. Create the skill directory: [plugin]/skills/[skill-name]/
  2. Write SKILL.md to the skill directory
  3. Write any reference files to [plugin]/skills/[skill-name]/references/
  4. If this is a new plugin, create the plugin structure first (.claude-plugin/plugin.json, README.md)

Step 10: Update Plugin Version (If Existing Plugin)

If adding a skill to an existing plugin:

  1. Read the plugin's .claude-plugin/plugin.json
  2. Increment the patch version (e.g., 1.0.0 -> 1.1.0)
  3. Update the plugin's README.md to document the new skill

Quality Checklist

Before finalizing the skill creation:

  • User's requirements understood (Step 1)
  • Skill classified using taxonomy decision tree (Step 2)
  • Plugin placement determined (Step 3)
  • skill-creator:skill-creator invoked for authoring best practices (Step 4)
  • superpowers:writing-skills invoked for file structure guidance (Step 5)
  • Appropriate template loaded and followed (Step 6)
  • Skill generated with all required sections (Step 7)
  • All framework validation checks pass (Step 8)
  • Skill placed in correct plugin directory (Step 9)
  • Plugin version updated if adding to existing plugin (Step 10)
  • SKILL.md under 500 lines
  • No placeholder content or unresolved TODOs in the final skill

Common Pitfalls to Avoid

  1. Multi-purpose skills: A skill that researches AND writes AND formats. Split it. Each skill does one thing.
  2. Fat orchestrators: An orchestrator that generates content instead of delegating. Orchestrators are thin -- they invoke task skills.
  3. Missing composition hooks: A task skill that produces text but never invokes writing:voice. Every text-producing task skill needs the voice hook.
  4. Inline platform knowledge: YouTube title formulas embedded in SKILL.md instead of in references/youtube-title-formulas.md. Platform-specific content goes in references.
  5. Vague descriptions: A frontmatter description like "Does stuff with content." The description determines when Claude uses the skill -- make it specific.
  6. Wrong category: Calling something a "task" when it actually sequences other skills (that's an orchestrator). Use the taxonomy decision tree.
  7. Skipping validation: Generating the skill and assuming it's correct. Always run the validation checklist.
  8. Raw python3 in script-bearing skills: Using python3 script.py instead of uv run script.py. The uv + PEP 723 pattern is the standard for zero-setup portability. Always use uv run.

Example Execution

Scenario: User wants a skill to generate LinkedIn carousel posts.

  1. Understand: Produces carousel slide content from a topic. User invokes directly or via an orchestrator. Outputs: slide text, layout suggestions, CTA.
  2. Classify: This does one thing (generate carousel content) -> Task skill.
  3. Plugin: Content production -> writing/ plugin. But it also has a visual component -> could split into writing (slide text via writing:copywriting) and visual (layout via visual-design:social-graphic). Recommend using existing skills rather than creating a new one, or create a thin orchestrator if the workflow is platform-specific enough.
  4. Invoke skill-creator:skill-creator for authoring best practices.
  5. Invoke superpowers:writing-skills for structure guidance.
  6. Template: Load references/skill-template-task.md.
  7. Generate: Create SKILL.md with frontmatter, overview, content type resolution, workflow, voice hook, brand hook, quality checklist.
  8. Validate: Check all framework rules. Verify voice and brand hooks present. Confirm under 500 lines.
  9. Place: Write to writing/skills/linkedin-carousel/SKILL.md with references/linkedin-carousel.md for platform conventions.
  10. Update: Bump writing/.claude-plugin/plugin.json version to 1.1.0. Update writing/README.md.

Result: A new task skill that follows all framework patterns and integrates cleanly with the existing composition system.

平台分布

Codex

39.43%
按下载量换算39

Claude

29.24%
按下载量换算29

Cursor

19.18%
按下载量换算19

Gemini CLI

8.73%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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