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Agent Skill · 研究检索

tkr-skill-writer(TKR 技能作家)

tkr-skill-writer 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。

tkr-skill-writer 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;许可证信息还不明确,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 63,254。

总安装 318周安装 13GitHub Stars 49下载 103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:tkr-skill-writer(TKR 技能作家)
来源仓库:https://github.com/tomkrikorian/visionosagents
仓库路径:skills/tkr-skill-writer
安装命令:
npx skills add https://github.com/tomkrikorian/visionosagents --skill tkr-skill-writer
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/tomkrikorian/visionosagents --skill tkr-skill-writer

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。

tkr-skill-writer 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 确认具体用法。

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/tkr-skill-writer

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/tomkrikorian/visionosagents --skill tkr-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

tkr-skill-writer 怎么安装?

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

tkr-skill-writer 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。

tkr-skill-writer 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。

tkr-skill-writer 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。

tkr-skill-writer 用的人多吗?

公开数据是累计安装 318 次,近一周安装 13 次,下载 103 次,GitHub 49 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。

tkr-skill-writer 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。
  • 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

  • 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
tkr-skill-writer

TKR 技能作家 · 本页

31849调用外部服务未明确通过

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

TKR Skill Writer

Description and Goals

This skill provides guidelines and templates for creating well-structured skills that follow consistent patterns in this repository while staying aligned with the current Codex skill guide. Skills should be clear, discoverable, and provide actionable guidance for developers.

Goals

  • Standardize skill structure across all skills in the repository
  • Ensure skills are discoverable and easy to navigate
  • Provide clear "when to use" guidance for each skill
  • Maintain consistent reference file organization
  • Keep repo conventions separate from actual Codex requirements
  • Include optional Codex metadata when it improves discovery and presentation
  • Enable efficient skill creation and maintenance

What This Skill Should Do

When creating or updating a skill, this skill guides you to:

  1. Start from the official minimum:

- A skill folder with a SKILL.md file - Frontmatter with name and description - Instructions that explain exactly when the skill should trigger

  1. Apply this repo's preferred structure:

- Description and Goals - What This Skill Should Do - Information About the Skill (with subcategories)

  1. Create reference files that are:

- One level deep from SKILL.md (e.g., references/filename.md) - Use relative paths from the skill root - Avoid deeply nested reference chains

  1. Organize component/system references in tables with:

- Component/System name as a clickable link: [ComponentName](references/componentname.md) - "When to Use" descriptions that clearly explain when to load each reference

  1. Add optional metadata when useful:

- Create agents/openai.yaml for UI metadata in the Codex app - Set interface.display_name, short_description, icon_small, icon_large, and brand_color - Add interface.default_prompt only when a starter prompt will improve skill discoverability or invocation clarity - Add policy or dependencies only when the skill genuinely needs them

  1. Follow consistent formatting:

- Use markdown links for file references - Keep tables readable and scannable - Provide clear, actionable descriptions

Information About the Skill

Skill Structure Template

Every SKILL.md must satisfy the official minimum format. In this repo, the preferred structure is the three-section layout below:

skill-name/
├── SKILL.md
├── agents/
│   └── openai.yaml
├── assets/
│   └── logo.svg
└── references/
    └── reference.md
---
name: skill-name
description: Brief description of what the skill does and when to use it.
---

# Skill Name

## Description and Goals

[Description of the skill, its purpose, and goals]

### Goals

- Goal 1
- Goal 2
- Goal 3

## What This Skill Should Do

[Clear explanation of what the skill accomplishes and how it should be used]

## Information About the Skill

### Core Concepts

[Important concepts and principles]

### Reference Tables

[Tables organizing references with clickable links and "When to Use" descriptions]

### Implementation Patterns

[Code examples and patterns]

### Pitfalls and Checks

[Common mistakes and things to watch for]

File Reference Guidelines

  • Use relative paths from the skill root directory
  • Keep references one level deep: references/filename.md
  • Avoid nested chains: Don't create references that point to other references that point to more references
  • Use markdown links: [ComponentName](references/componentname.md)

Optional Metadata

Codex supports optional skill metadata in agents/openai.yaml. Use it when the skill benefits from a polished display name, icon, short description, brand color, invocation policy, or declared tool dependencies.

interface:
  display_name: "Optional user-facing name"
  short_description: "Optional user-facing description"
  icon_small: "../assets/small-logo.svg"
  icon_large: "../assets/large-logo.png"
  brand_color: "#3B82F6"
  default_prompt: "Optional surrounding prompt to use the skill with"

policy:
  allow_implicit_invocation: false

dependencies:
  tools:
    - type: "mcp"
      value: "openaiDeveloperDocs"
      description: "OpenAI Docs MCP server"
      transport: "streamable_http"
      url: "https://developers.openai.com/mcp"

Use policy and dependencies only when they materially improve the skill. Do not add them by default just because the fields exist.

Table Format

Reference tables should use this format:

| Component | When to Use |
|-----------|-------------|
| [`ComponentName`](references/componentname.md) | Clear description of when to use this component. |

Reference File Naming

  • Component files: {name}component.md (e.g., modelcomponent.md)
  • System files: system.md (consolidate all system info in one file)
  • Other references: Use descriptive, lowercase names with hyphens

Best Practices

  • Keep "When to Use" descriptions concise but informative
  • Group related components/systems into logical categories
  • Provide code examples in implementation patterns sections
  • Document common pitfalls and how to avoid them
  • Update the skill description in the frontmatter to match the content
  • Keep each skill focused on one job
  • Prefer instructions over scripts unless deterministic tooling is required
  • Write imperative steps with explicit inputs and outputs
  • Test prompts against the skill description to confirm the trigger behavior is correct
  • Use $skill-creator first when you want a starting point from the official Codex workflow
  • Treat repo-specific layout rules as conventions, not as requirements imposed by Codex itself

平台分布

Codex

34.19%
按下载量换算35

Claude

28.35%
按下载量换算29

Cursor

18.9%
按下载量换算19

Gemini CLI

8.56%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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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