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Agent Skill · AI 工具

skill-manager(技能经理)

skill-manager 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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-manager 是AI 工具类 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AI 工具类的 2,536 个 Skill 里排第 2,338。

总安装 235周安装 10GitHub Stars 10下载 82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-manager(技能经理)
来源仓库:https://github.com/gohypergiant/agent-skills
仓库路径:skills/skill-manager
安装命令:
npx skills add https://github.com/gohypergiant/agent-skills --skill skill-manager
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/gohypergiant/agent-skills --skill skill-manager

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

skill-manager 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。

安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。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/skill-manager

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/gohypergiant/agent-skills --skill skill-manage…;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-manager 怎么安装?

在终端执行 npx skills add https://github.com/gohypergiant/agent-skills --skill skill-manager。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

skill-manager 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-manager 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-manager 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-manager 用的人多吗?

公开数据是累计安装 235 次,近一周安装 10 次,下载 82 次,GitHub 10 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-manager 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。
  • 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。

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AI 工具类任务、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。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
skill-manager

技能经理 · 本页

23510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 Manager

This skill provides guidance for creating and managing effective agent skills.

NEVER Do When Creating Skills

  • NEVER write tutorials explaining basics - Assume Claude knows standard concepts, libraries, and patterns. Focus on expert-only knowledge.
  • NEVER put triggering information in body - "When to use" guidance belongs ONLY in the description field. The body is loaded after activation decision.
  • NEVER dump everything in SKILL.md - Use progressive disclosure: core workflow in SKILL.md (<500 lines ideal), detailed content in references/, loaded on-demand.
  • NEVER use generic warnings - "Be careful" and "avoid errors" are useless. Provide specific anti-patterns with concrete reasons.
  • NEVER use same freedom level for all tasks - Creative domains (design, architecture) need high freedom with principles. Fragile operations (file formats, APIs) need low freedom with exact scripts.
  • NEVER explain standard operations - Assume Claude knows how to read files, write code, use common libraries. Focus on non-obvious decisions and edge cases.
  • NEVER include obvious procedures - "Step 1: Open file, Step 2: Edit, Step 3: Save" wastes tokens. Include only domain-specific workflows Claude wouldn't know.

Before Creating a Skill, Ask

Apply these tests to ensure the skill provides genuine value:

Knowledge Delta Test

  • Does this capture what takes experts years to learn? If explaining basics or standard library usage, it's redundant.
  • Am I explaining TO Claude or arming Claude? Skills should arm agents with expert knowledge, not teach them concepts.
  • Is every paragraph earning its context space? Token economy matters - shared with system prompts, conversation history, and other skills.

Activation Economics

  • Does the description answer WHAT, WHEN, and include KEYWORDS? Vague descriptions mean the skill never gets activated.
  • Would an agent reading just the description know exactly when to use this? If unclear, the skill is invisible.

Freedom Calibration

  • What happens if the agent makes a mistake? High consequence = low freedom (exact scripts). Low consequence = high freedom (principles).
  • Is there one correct way or multiple valid approaches? One way = prescriptive. Multiple ways = guidance with examples.

Token Efficiency

  • Can this be compressed without losing expert knowledge? References loaded on-demand save context.
  • Are there repetitive procedures that could become scripts? Reusable code belongs in scripts/, not repeated in instructions.

Flowchart Usage

digraph when_flowchart {
  "Need to show information?" [shape=diamond];
  "Decision where I might go wrong?" [shape=diamond];
  "Use markdown" [shape=box];
  "Small inline flowchart" [shape=box];

  "Need to show information?" -> "Decision where I might go wrong?" [label="yes"];
  "Decision where I might go wrong?" -> "Small inline flowchart" [label="yes"];
  "Decision where I might go wrong?" -> "Use markdown" [label="no"];
}

Use flowcharts ONLY for:

  • Non-obvious decision points
  • Process loops where you might stop too early
  • "When to use A vs B" decisions

Never use flowcharts for:

  • Reference material → Tables, lists
  • Code examples → Markdown blocks
  • Linear instructions → Numbered lists
  • Labels without semantic meaning (step1, helper2)

How to Use

This skill uses progressive disclosure to minimize context usage:

1. Start with the Workflow (SKILL.md)

Follow the 4-step workflow below for skill creation or refactoring.

2. Reference Implementation Details (AGENTS.md)

Load AGENTS.md for file system conventions, naming patterns, and structural rules.

3. Load Specific Examples as Needed

When implementing specific rules, load corresponding reference files for ❌/✅ examples.

Skill Creation Workflow

To create or refactor a skill, follow the "Skill Creation Workflow" in order, skipping steps only if there is a clear reason why they are not applicable.

Copy this checklist to track progress:

- [ ] Step 1: Understanding - Gather concrete examples of skill usage
- [ ] Step 2: Planning - Identify reusable scripts, references, assets
- [ ] Step 3: Initializing - Check existing skills, create directory structure
- [ ] Step 4: Editing - Write agent-focused content with procedural knowledge

Include what rules from this skill are being applied, and why, in your summary.

Step 1: Understanding the Skill with Concrete Examples

Skip this step only when the skill's usage patterns are already clearly understood. It remains valuable even when working with an existing skill.

To create an effective skill, clearly understand concrete examples of how the skill will be used. This understanding can come from either direct user examples or generated examples that are validated with user feedback.

Example: Building an image-editor skill, ask:

  • "What functionality? Editing, rotating, other?"
  • "Usage examples?"
  • "Trigger phrases: 'Remove red-eye', 'Rotate image'—others?"

Avoid overwhelming users. Start with key questions, follow up as needed.

Conclude when there is a clear sense of the functionality the skill should support.

Step 2: Planning the Reusable Skill Contents

To turn concrete examples into an effective skill, analyze each example by:

  1. Considering how to execute on the example from scratch
  2. Identifying what scripts, references, and assets would be helpful when executing these workflows repeatedly

Examples:

  • pdf-editor skill for "Rotate this PDF" → store scripts/rotate-pdf.sh to avoid rewriting code each time
  • frontend-app-builder for "Build a todo app" → store assets/hello-world/ boilerplate template
  • big-query for "How many users logged in today?" → store references/schema.md with table schemas

Analyze each concrete example to create a list of reusable resources: scripts, references, and assets.

Step 3: Initializing the Skill

At this point, it is time to actually create the skill.

Check available skills to identify potentially relevant ones the user may have missed:

ls -la .claude/skills 2>/dev/null || echo "No project skills found"
ls -la ~/.claude/skills 2>/dev/null || echo "No global skills found"

Look for skills related to:

  • File types the command will process (docx, pdf, xlsx, pptx)
  • Domain expertise (frontend-design, product-self-knowledge)
  • Workflows or patterns (skill-creator, mcp-builder)

Present relevant skills to the user:

  • "I found these skills that might be relevant: [list]. Should any of these be included?"
  • Be concise; only mention skills with clear relevance

Skip this step only if the skill being developed already exists, and iteration or packaging is needed. In this case, continue to the next step.

For new skills, use the template in assets/skill-template/ as a starting point. Copy the template directory and customize it for your specific skill.

Follow the instructions and conventions outlined in the AGENTS.md outline as well as the references.

Step 4: Edit the Skill

When editing the (newly-generated or existing) skill, remember that the skill is being created for another instance of an agent to use. Focus on including information that would be beneficial and non-obvious to an agent. Consider what procedural knowledge, domain-specific details, or reusable assets would help another agent instance execute these tasks more effectively.

Calibrate freedom to task fragility:

Task TypeFreedom LevelGuidance FormatExample
Creative/DesignHigh freedomPrinciples, thinking patterns, anti-patterns"Commit to a bold aesthetic"
Code ReviewMedium freedomGuidelines with examples, decision frameworks"Priority: security > logic > performance"
File OperationsLow freedomExact scripts, specific steps, no variation"Use exact command: pandoc --flag"

The test: "If the agent makes a mistake, what's the consequence?"

  • High consequence (file corruption, data loss) → Low freedom with precise scripts
  • Medium consequence (suboptimal code, style issues) → Medium freedom with examples
  • Low consequence (aesthetic choices, multiple valid approaches) → High freedom with principles

If you are updating an existing skill you can use the templates in assets/skill-template/ as a reference for larger structural changes and alignment. Consistency is imperative so lean towards aggressive reformatting to achieve adherence.

When updating an existing skill, ensure that the frontmatter metadata.version value is bumped. If the scope of the change is substantial do a major change 1.0 to 2.0, otherwise minor 1.0 to 1.1.

平台分布

Claude Code

28.39%
按下载量换算23

windsurf

23.77%
按下载量换算19

OpenCode

19.81%
按下载量换算16

trae

13.71%
按下载量换算11

Codex

8.66%
按下载量换算7

github-copilot

4.04%
按下载量换算3

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。

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