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hierarchicalhierarchical 搜索

Agent Skill

hierarchical 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

783

周安装

32

GitHub Stars

537

下载量

253
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

3

许可证

MIT

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:hierarchical(hierarchical 搜索)
来源仓库:https://github.com/fradser/dotclaude
仓库路径:skills/hierarchical
安装命令:
npx skills add https://github.com/fradser/dotclaude --skill hierarchical
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/fradser/dotclaude --skill hierarchical

简介

hierarchical 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、任务场景或来源线索快速定位候选结果。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限和维护状态。
  • 使用前建议核验具体用法,注意是否会触发联网、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

Hierarchical Project Review

Context

  • Project root:!pwd
  • Directory structure:!find. -type f -name "*.py" 2>/dev/null | head -50
  • Tech stack: [detect dynamically based on project files]
  • Test framework: [detect dynamically based on project files]
  • Total files:!find. -type f -name "*.py" 2>/dev/null | wc -l

Phase 1: Determine Review Scope

Goal: Identify the project directory to review.

Actions:

  1. Check review scope in this order:

- User argument: If $ARGUMENTS specifies a directory, review that directory recursively - Current directory: If no argument, review the current project root (.)

  1. Confirm scope with user if the project is large (>100 files) to potentially limit scope.

Phase 2: Technical Leadership Assessment

Goal: Map project architecture, identify risk areas, and determine review focus.

Actions:

  1. Explore codebase structure using the Explore agent:

- Launch subagent_type="Explore" with thoroughness: "very thorough" - Let the agent autonomously discover architecture, modules, and patterns

  1. Perform a comprehensive leadership assessment with @tech-lead-reviewer:

- Analyze overall architecture and module structure - Identify architectural patterns and violations - Map dependency graph and coupling points - Assess technical debt accumulation - Evaluate scalability and maintainability

  1. Determine which specialized agents are required based on risk assessment.
  2. Identify high-priority areas that need focused review.

Phase 3: Parallel Specialized Reviews

Goal: Collect comprehensive feedback from all relevant specialized reviewers.

Actions:

  1. Launch required specialized reviews in parallel via the Task tool:

- @code-reviewer — code quality, patterns, testing across modules - @security-reviewer — security audit across entire codebase - @performance-reviewer — performance bottlenecks, algorithm complexity, resource usage - @test-coverage-reviewer — test coverage, edge cases, test quality - @ux-reviewer — UI/UX review for user-facing components (skip if CLI/backend only)

  1. Each agent reviews within the determined scope (entire project or specified directory).
  2. Collect outcomes from each agent.
  3. Resolve conflicting feedback between reviewers.

Phase 4: Consolidated Analysis & Reporting

Goal: Merge findings and produce prioritized actionable improvements.

Actions:

  1. Merge findings and prioritize by impact/confidence:

- Priority: Critical → High → Medium → Low - Confidence: High → Medium → Low

  1. Present a consolidated report with:

- Executive summary of project health - Critical issues requiring immediate attention - Technical debt inventory - Strategic recommendations with effort estimates

  1. Ask whether the user wants fixes implemented.
  2. If confirmed:

- Address security, quality, or UX issues as requested. - Run tests and validations. - Engage @code-simplifier — code simplification and optimization — to refactor implemented fixes.

  1. Ensure commits follow Git conventions (see ${CLAUDE_PLUGIN_ROOT}/skills/references/git-commit-conventions.md).
  2. Report outcomes and confirm review completion.

IMPORTANT: You MUST use the Task tool to complete ALL tasks.

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

30.26%
按下载量换算77

Gemini CLI

23.05%
按下载量换算58

Antigravity

19.08%
按下载量换算48

OpenCode

13%
按下载量换算33

windsurf

8.41%
按下载量换算21

Codex

3.55%
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

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/fradser/dotclaude --skill hierarchical;npx skills add fradser/dotclaude --skill "hierarchical" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。

来源信息

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