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Agent Skill · 研究检索

initializing-projects(初始化项目)

initializing-projects 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。

initializing-projects 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 65,208。

总安装 285周安装 12GitHub Stars 4下载 203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:initializing-projects(初始化项目)
来源仓库:https://github.com/riccardogrin/skills
仓库路径:skills/initializing-projects
安装命令:
npx skills add https://github.com/riccardogrin/skills --skill initializing-projects
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/riccardogrin/skills --skill initializing-projects

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。

initializing-projects 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。通过 npx skills add 命令从指定仓库安装,需确认权限和维护状态。使用前建议核验是否会触发联网、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/initializing-projects

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/riccardogrin/skills --skill initializing-proje…;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

initializing-projects 怎么安装?

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

initializing-projects 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。

initializing-projects 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。

initializing-projects 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。

initializing-projects 用的人多吗?

公开数据是累计安装 285 次,近一周安装 12 次,下载 203 次,GitHub 4 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。

initializing-projects 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
initializing-projects

初始化项目 · 本页

2854只读未明确通过

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

Initializing Projects

Generate a focused CLAUDE.md that gives Claude the context it actually needs — and nothing more. Agents are smart enough to figure out most things from the code. The file should capture what they cannot infer: project identity, business context, and hard-won lessons.

Reference Files

FileRead When
references/claude-md-patterns.mdConstructing the CLAUDE.md or reviewing examples of effective minimal configs

Philosophy

Keep the CLAUDE.md minimal. Agents read the code, package.json, config files, and directory structure on their own. Only add what they would get wrong or waste time figuring out.

Include:

  • What the project is, who it's for, and why it exists (mission/vision)
  • Do/don't rules for things that have tripped the agent up or need clarification
  • Non-obvious conventions that differ from common patterns
  • Key files only if they are novel or not where you'd expect them

Exclude:

  • Tech stack descriptions the agent can read from config files
  • Detailed repo structure (it changes, and the agent can explore)
  • Generic programming advice
  • Standard framework patterns Claude already understands

The file grows over time as the agent (and you) discover gotchas. Start small — a 20-line CLAUDE.md is better than a 200-line one full of noise.

Workflow

Phase 1: Auto-Detection

Scan the project to understand the landscape. This informs the interview — skip questions you can answer from config files.

Detect:

  • Package manager and ecosystem (lock files, packageManager field, package.json, pyproject.toml, Cargo.toml, go.mod, workspace configs like pnpm-workspace.yaml, nx.json, etc.)
  • Framework (dependencies in package.json, pyproject.toml, config files like next.config.*)
  • Test runner (jest/vitest/pytest config, scripts.test, tests/ directory)
  • Formatter (prettier, biome format, black, ruff format configs)
  • Linter (eslint, biome lint, ruff check, pylint, clippy configs) — note separately from formatter, as linters inform hook generation in Phase 4
  • ARCHITECTURE.md — if present, note it; architecture enforcement is already partially set up
  • docs/ directory — if present, note it and scan for front-matter summaries to include in the detection summary
  • Existing CLAUDE.md or AGENTS.md — if found, warn and ask whether to merge or replace. Merge = read existing content, preserve user-written sections, add new sections from the template that don't exist yet. Present the merged result for user approval before writing
  • README.md — extract project description

Present findings in a concise summary. Ask the user to confirm or correct before proceeding.

Phase 2: Interview

Fill gaps that auto-detection cannot cover. Go as deep as the project warrants — simple projects need 2-3 questions, complex ones may need a longer conversation.

Core questions:

  • What does this project do? Who is it for? What's the mission? (skip if README is clear)
  • Are there conventions or patterns that differ from what you'd expect? (naming, architecture, data flow)
  • What has tripped you (or previous Claude sessions) up? What keeps going wrong?
  • Are there rules with exceptions? Things that are "always X... except when Y"? (These cause the most agent errors — e.g., "always use UTC... except the reporting module uses user timezone")
  • Any business decisions or constraints that affect how code should be written?
  • Are there key files or areas of the codebase that are non-obvious or tricky?

Do not ask questions the code answers. Do not cap the interview artificially — if the user keeps sharing useful context, keep going. When the user signals they're done, move on.

Phase 3: Generate CLAUDE.md

Generate a minimal CLAUDE.md at the project root. Only include sections with real content — omit empty sections entirely.

## What This Is
[Project description — what it does, who it's for, why it exists]
[Mission/vision if the user shared one]

## Do / Don't
- Do: [specific convention or pattern the agent should follow]
- Don't: [specific thing that has caused problems or is explicitly wrong]
- Do: [rule with exception] — except [when/where the exception applies]
[Add more as discovered during development]

## Known Issues
<!-- Populated by Claude — remove entries when fixed -->

## Decision Log
<!-- Key business/project decisions only, not obvious code choices -->

Conditional sections (only add if the user raised them):

  • Key Files — only for files that are non-obvious or in unexpected locations
  • Gotchas — specific traps or footguns in the codebase
  • Commands — only if they differ from standard (pnpm test, pnpm dev, etc.) or have unusual flags

Do not add:

  • A "Project Structure" section listing directories the agent can discover itself
  • A "Development" section restating package.json scripts verbatim
  • A "Coding Conventions" section with generic rules the agent already follows
  • Tech stack descriptions ("This project uses Next.js 14 with TypeScript") — the agent reads package.json

The self-maintenance rules from the user's global ~/.claude/CLAUDE.md handle plan updates, known issues, and decision logging. Do not duplicate those rules in the project CLAUDE.md unless the user's global config is missing them.

Phase 4: Generate Hooks

Create .claude/settings.json with PostToolUse hooks matching Write|Edit.

CRITICAL: Hook entries require a hooks array. Each entry in the event array is a matcher object containing a hooks array of command objects. Do NOT put command directly on the matcher object.

Correct structure:

{
  "hooks": {
    "PostToolUse": [
      {
        "matcher": "Write|Edit",
        "hooks": [
          {
            "type": "command",
            "command": "prettier --write \"$CLAUDE_FILE_PATH\" 2>/dev/null || true"
          }
        ]
      }
    ]
  }
}

Formatter hooks (auto-fix on every edit):

If Prettier: npx prettier --write "$CLAUDE_FILE_PATH" 2>/dev/null || true If Biome: npx @biomejs/biome format --write "$CLAUDE_FILE_PATH" 2>/dev/null || true If Ruff: ruff format "$CLAUDE_FILE_PATH" 2>/dev/null || true If Black: black "$CLAUDE_FILE_PATH" 2>/dev/null || true

If no formatter is detected, suggest one appropriate for the stack but do not force it. Defaults: Prettier for JS/TS, Ruff for Python, gofmt for Go, rustfmt for Rust.

Linter hooks (catch issues mechanically, not via instructions):

If a linter was detected in Phase 1 but no lint hook exists, suggest a PostToolUse lint hook: If ESLint: npx eslint --fix "$CLAUDE_FILE_PATH" 2>/dev/null || true If Biome: npx @biomejs/biome check --fix "$CLAUDE_FILE_PATH" 2>/dev/null || true If Ruff: ruff check --fix "$CLAUDE_FILE_PATH" 2>/dev/null || true

If no linter is detected and the project has 10+ source files, suggest adding one appropriate for the stack. Don't force it — present it as a recommendation with the benefit (mechanical enforcement catches issues automatically, no agent discipline required).

For complex projects (multiple layers, clear architectural boundaries, or the user described layered architecture during the interview), mention /enforcing-architecture as a next step for setting up dependency-direction rules and structural checks.

.claude/settings.json should be committed to git so project hooks are shared with the team. If .claude/settings.local.json exists (machine-specific overrides), ensure it's in .gitignore.

Phase 5: Verification

Read back every generated file and confirm:

  • CLAUDE.md is concise and contains only non-obvious information
  • Hooks point to the correct formatter and linter
  • No generic boilerplate was included

Present a summary listing all files created and their purpose. Flag anything that looks wrong or needs manual adjustment.

Anti-Patterns

AvoidDo Instead
Listing tech stack the agent can detectOnly note what's surprising or non-standard
Detailed repo structure that will go staleLet the agent explore; call out only non-obvious key files
Generic advice ("write clean code")Specific do/don't rules from real experience
Overwriting existing CLAUDE.md without askingWarn and offer to merge
Padding with empty sectionsOmit sections that have no real content
Capping the interview prematurelyLet the user share as much context as they want
Duplicating global self-maintenance rulesCheck if they exist in ~/.claude/CLAUDE.md first

平台分布

Codex

35.09%
按下载量换算71

Claude

30.76%
按下载量换算62

Cursor

18.86%
按下载量换算38

Gemini CLI

10.08%
按下载量换算20

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。目前只有一个公开来源,建议同时核对源仓库。

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