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initializing-projects初始化项目

Agent Skill

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。

总安装

285

周安装

12

GitHub Stars

4

下载量

203
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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