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Agent Skill · 研究检索

skill-creator(技能创建器)

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。

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,权限为调用外部服务;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 29,423。

总安装 3,058周安装 130GitHub Stars 110下载 1,071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/igorwarzocha/opencode-workflows
仓库路径:skills/skill-creator
安装命令:
npx skills add https://github.com/igorwarzocha/opencode-workflows --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/igorwarzocha/opencode-workflows --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。

skill-creator 用于查找、检索和筛选相关信息。适合根据关键词、任务场景或来源线索快速定位候选结果。可在 Codex、Claude、Cursor、Gemini CLI 中用于调研支持场景。安装前建议确认权限范围、维护状态及是否触发联网或文件操作。

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/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/igorwarzocha/opencode-workflows --skill 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

skill-creator 怎么安装?

在终端执行 npx skills add https://github.com/igorwarzocha/opencode-workflows --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-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 3,058 次,近一周安装 130 次,下载 1,071 次,GitHub 110 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

3,058110调用外部服务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

Create opencode skills that extend agent capabilities with specialized knowledge and workflows.

What Skills Provide

  • Specialized workflows - Multi-step procedures for specific domains
  • Tool integrations - Instructions for file formats, APIs, libraries
  • Domain expertise - Company-specific knowledge, schemas, business logic
  • Bundled resources - Reusable scripts, references, and assets

Skill Locations

ScopePath
Project.opencode/skill/<name>/SKILL.md
Global~/.config/opencode/skill/<name>/SKILL.md
  • Project skills: Team-shared, repo-specific (e.g., our-api-patterns, project-deploy)
  • Global skills: Personal tools for all projects (e.g., pdf-editor, commit-helper)

For project paths, OpenCode walks up from cwd to git worktree root.

Skill Structure

skill-name/
├── SKILL.md              # Required - frontmatter + instructions
├── scripts/              # Optional - executable code (Python/Bash)
├── references/           # Optional - docs loaded on-demand
└── assets/               # Optional - templates, images, fonts

SKILL.md Format

---
name: skill-name
description: [Self-contained workflow summary — see guidelines below]
---
# Instructions here (markdown body)

Name: Short, hyphen-case identifier. Should be descriptive but concise (max 64 chars).

Description: Agent sees this + the name before loading. Must be self-contained with:

  • What workflow/capabilities it provides
  • "Use proactively when" trigger contexts
  • 3-5 concrete examples

CRITICAL: The description field is the primary trigger mechanism.

Skills are SOPs/workflows, NOT agents. DO NOT use role descriptions like "You are a..." or "[Role] expert."

Before loading, the agent sees only the name and description in <available_skills>:

<available_skills>
  <skill>
    <name>skill-name</name>
    <description>...</description>
  </skill>
</available_skills>

The description must be self-contained — agents won't load a skill just to "see what it does."

Name + description should work together:

  • Name: Short, hyphen-case identifier (e.g., typescript-advanced)
  • Description: Self-contained workflow summary with capabilities, triggers, and examples

Description pattern (LLM-optimized):

---
name: skill-name
description: |-
  [Action verb/capabilities]. Use for [specific cases]. Use proactively when [contexts].

  Examples:
  - user: "query" → action
  - user: "query" → action
---

Dense, machine-parseable, specific. Avoid prose.

CRITICAL YAML SYNTAX: Multi-line descriptions with examples MUST use literal block scalar (|-). The hyphen strips the trailing newline. Do NOT use plain YAML with unquoted colons or lists:

# ❌ WRONG - breaks YAML parsing
description: Handle plugins. Examples:
- user: "..." → action

# ✅ CORRECT - use |- for multi-line
description: |-
  Handle plugins.

  Examples:
  - user: "..." → action

Example:

---
name: typescript-advanced
description: |-
  Handle TypeScript 5.9 advanced typing, generics, strict configs, type errors, migrations,
  erasable syntax compliance, and test writing. Use proactively for complex generics,
  conditional types, utility types, TS compiler config, or test authoring.

  Examples:
  - user: "Create a type-safe event emitter" → implement with generics and mapped types
  - user: "Migrate to strict TypeScript" → add discriminated unions, exhaustive checks
  - user: "Build typed API client from OpenAPI" → generate request/response types with inference
  - user: "Write unit tests" → create strict, typed tests with realistic fixtures
---

Requirements:

  • Start with action verb (NOT "You are" or "[Role] expert")
  • List specific capabilities (vague "helps with X" = ignored)
  • Include "Use proactively when" trigger contexts
  • Provide 3-5 concrete user: "..." →... examples
  • Use |- literal block scalar for multi-line descriptions (plain YAML with lists/colons breaks parsing)
  • Dense, LLM-parseable — description alone must justify loading

Reduce redundancy: Don't repeat description content in SKILL.md body.

Bundled Resources

DirectoryPurposeWhen to use
scripts/Reusable Python/Bash codeSame code rewritten repeatedly
references/Docs, schemas, API specsInfo agent needs while working
assets/Templates, images, fontsFiles used in output (not loaded)

MUST NOT include: README.md, CHANGELOG.md, INSTALLATION_GUIDE.md, or other auxiliary docs. Skills contain only what the agent needs to do the job.

Core Principles

Be Concise

The context window is shared. Only add info the agent doesn't already have.

  • Challenge each paragraph: "Does this justify its token cost?"
  • Prefer examples over explanations
  • SHOULD keep SKILL.md under 500 lines

Match Freedom to Fragility

Freedom LevelFormatUse When
HighText instructionsMultiple valid approaches
MediumPseudocode/parameterized scriptsPreferred pattern exists
LowSpecific scriptsFragile ops, consistency critical

Progressive Disclosure

  1. Metadata (name + description) - Always loaded (~100 words)

- The description is the PRIMARY discovery mechanism - Agents see this and decide whether to load the skill - If description is vague, the skill will never be used

  1. SKILL.md body - Loaded when skill triggers

- Core workflow and detailed instructions - Keep focused on what the agent needs to do the work

  1. Bundled resources - Loaded on-demand by agent

- Move variant-specific details to references/

Keep core workflow in SKILL.md. Move variant-specific details to references/.

Example structure:

cloud-deploy/
├── SKILL.md (workflow + provider selection)
└── references/
    ├── aws.md
    ├── gcp.md
    └── azure.md

Agent loads only the relevant provider file.

Creation Process

  1. Understand → Gather concrete usage examples
  2. Plan → Identify reusable scripts/references/assets
  3. Initialize → Create directory and SKILL.md manually
  4. Edit → Write SKILL.md frontmatter + body, add resources
  5. Validate → Verify the skill loads and triggers correctly
  6. Iterate → Test, improve, repeat

Step 1: Understand

Gather concrete examples of how the skill will be used. Ask:

  • "What should this skill do?"
  • "What requests should trigger it?"
  • "Can you give example user queries?"

Skip only if usage patterns are already clear.

Step 2: Plan

For each use case, identify reusable resources:

If you find yourself...Add to...
Rewriting same codescripts/
Re-discovering schemas/docsreferences/
Copying same templatesassets/

Examples:

  • pdf-editor: "Rotate this PDF" → scripts/rotate_pdf.py
  • bigquery: "How many users today?" → references/schema.md
  • frontend-builder: "Build me a todo app" → assets/react-template/

Step 3: Initialize

Create the skill directory and SKILL.md manually:

# Global skill (personal tools)
mkdir -p ~/.config/opencode/skill/my-skill

# Project skill (team-specific)
mkdir -p .opencode/skill/my-skill

Create SKILL.md with frontmatter:

---
name: my-skill
description: |-
  [Workflow/capabilities]. Use for [specific cases]. Use proactively when [contexts].

  Examples:
  - user: "query" → action
  - user: "query" → action
---
# [Skill Name]

[Instructions start here]

Description template example:

---
name: typescript-advanced
description: |-
  Handle TypeScript 5.9 advanced typing, generics, strict configs, type errors, migrations,
  and test writing. Use proactively for complex generics, conditional types, utility types, TS compiler
config, or test authoring.

Examples:
- user: "Create a type-safe event emitter" → implement with generics and mapped types
- user: "Migrate to strict TypeScript" → add discriminated unions, exhaustive checks
- user: "Build typed API client from OpenAPI" → generate request/response types with inference
- user: "Write unit tests" → create strict, typed tests with realistic fixtures
---

Add optional directories as needed:

cd my-skill
mkdir scripts references assets  # only create what you'll actually use

Step 4: Edit

Writing guidelines:

  • MUST use imperative form ("Run the script", not "You should run")
  • SHOULD use bullet points over prose
  • SHOULD link to references for detailed info
  • MUST test all scripts before including

Frontmatter requirements:

  • name: lowercase-hyphen format, must match directory name exactly
  • description: CRITICAL — follow the format specified in above. This is how agents discover your skill.

Step 5: Validate

Verify the skill is discoverable:

  1. Check structure:

- SKILL.md exists in skill directory - Directory name matches name: in frontmatter exactly - YAML frontmatter is valid

  1. Test discovery:

- The skill should appear in agent's <available_skills> section - Description should be specific enough to match relevant queries

  1. Verify triggers:

- Read your description — would you know when to use this skill based solely on it? - Do the examples cover the main use cases?

Note: Skills are used directly from their directories. No packaging or installation step required.

Step 6: Iterate

After real usage:

  1. Notice where the skill fails to trigger or provides unclear guidance
  2. Update the description to include missing trigger contexts
  3. Add more examples to the description or SKILL.md body
  4. Re-validate discovery and triggers

Agent Permissions

Control skill access per-agent in agent config:

{
  "permission": {
    "skill": { "*": "deny", "my-skill": "allow" }
  }
}

Values: "allow", "deny", "ask". Use "*" as wildcard default.

<question_tool>

Batching: Use the question tool for 2+ related questions. Single questions → plain text.

Syntax: header ≤12 chars, label 1-5 words, add "(Recommended)" to default.

When to ask: Ambiguous request, multiple skill patterns apply, or scope unclear.

</question_tool>

<bundled_references>

Available References

This skill includes reference documents for advanced patterns. Load on-demand:

ReferenceWhen to Load
references/output-patterns.mdDesigning template outputs, example-based guidance
references/workflows.mdSequential or conditional workflow structures

Usage: Read the relevant reference file when you need detailed patterns beyond the core workflow.

</bundled_references>

平台分布

Claude Code

27.02%
按下载量换算289

OpenCode

25.47%
按下载量换算273

Codex

18.83%
按下载量换算202

Gemini CLI

13.68%
按下载量换算147

Antigravity

8.32%
按下载量换算89

windsurf

3.18%
按下载量换算34

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。

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