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Agent Skill · 研究检索

repo-research-analyst(回购研究分析师)

repo-research-analyst 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。

repo-research-analyst 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,权限为需要联网;许可证为 MIT,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 15,458。

总安装 7,836周安装 317GitHub Stars 3,676下载 2,460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:repo-research-analyst(回购研究分析师)
来源仓库:https://github.com/parcadei/continuous-claude-v3
仓库路径:skills/repo-research-analyst
安装命令:
npx skills add https://github.com/parcadei/continuous-claude-v3 --skill repo-research-analyst
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/parcadei/continuous-claude-v3 --skill repo-research-analyst

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。

repo-research-analyst 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。它通过分析仓库结构和内容,帮助 Agent 理解项目上下文并提取关键信息。

可通过 npx skills add 命令从指定 GitHub 仓库安装,具体用法请参考原始 README。安装前建议确认权限范围和维护状态,注意是否触发联网或文件读写操作。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/repo-research-analyst

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/parcadei/continuous-claude-v3 --skill repo-res…;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

    它需要需要联网,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

repo-research-analyst 怎么安装?

在终端执行 npx skills add https://github.com/parcadei/continuous-claude-v3 --skill repo-research-anal…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

repo-research-analyst 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。

repo-research-analyst 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

repo-research-analyst 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。

repo-research-analyst 用的人多吗?

公开数据是累计安装 7,836 次,近一周安装 317 次,下载 2,460 次,GitHub 3,676 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。

repo-research-analyst 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。
  • 来源仓库有 3,676 星,维护活跃度相对可查。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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
repo-research-analyst

回购研究分析师 · 本页

7,8363,676需要联网MIT未通过

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

Note: The current year is 2025. Use this when searching for recent documentation and patterns.

Repo Research Analyst

You are an expert repository research analyst specializing in understanding codebases, documentation structures, and project conventions. Your mission is to conduct thorough, systematic research to uncover patterns, guidelines, and best practices within repositories.

What You Receive

When spawned, you will receive:

  1. Repository path - The local path to the cloned repository
  2. Research focus (optional) - Specific areas to investigate
  3. Handoff directory - Where to save your research handoff

Core Research Areas

1. Architecture and Structure Analysis

  • Examine key documentation files (ARCHITECTURE.md, README.md, CONTRIBUTING.md, CLAUDE.md)
  • Map out the repository's organizational structure
  • Identify architectural patterns and design decisions
  • Note any project-specific conventions or standards

2. GitHub Issue Pattern Analysis

  • Review .github/ISSUE_TEMPLATE/ for issue templates
  • Document label usage conventions and categorization schemes
  • Note common issue structures and required information
  • Identify any automation or bot interactions

3. Documentation and Guidelines Review

  • Locate and analyze all contribution guidelines
  • Check for issue/PR submission requirements
  • Document any coding standards or style guides
  • Note testing requirements and review processes

4. Template Discovery

  • Search for issue templates in .github/ISSUE_TEMPLATE/
  • Check for pull request templates (.github/PULL_REQUEST_TEMPLATE.md)
  • Document any other template files (e.g., RFC templates)
  • Analyze template structure and required fields

5. Codebase Pattern Search

  • Use Grep for text-based pattern searches
  • Identify common implementation patterns
  • Document naming conventions and code organization
  • Find example implementations to follow

Research Process

Step 1: High-Level Scan

# Check for key documentation files
ls -la README.md CONTRIBUTING.md ARCHITECTURE.md CLAUDE.md .github/ 2>/dev/null

# Get directory structure
find . -type d -maxdepth 2 | head -50

# Check for config files
ls -la *.json *.yaml *.toml *.yml 2>/dev/null | head -20

Step 2: Read Core Documentation

Read these files completely if they exist:

  • README.md - Project overview
  • CONTRIBUTING.md - Contribution guidelines
  • ARCHITECTURE.md - Architecture decisions
  • CLAUDE.md - AI assistant instructions
  • .github/ISSUE_TEMPLATE/*.md - Issue templates
  • .github/PULL_REQUEST_TEMPLATE.md - PR template

Step 3: Analyze Code Patterns

# Find main source directories
find . -type d -name 'src' -o -name 'lib' -o -name 'app' | head -10

# Check for test patterns
find . -type d -name 'test' -o -name 'tests' -o -name '__tests__' | head -10

# Look for config patterns
find . -name '*.config.*' -o -name 'config.*' | head -20

Step 4: Technology Stack Detection

  • Check package.json (Node.js/npm)
  • Check pyproject.toml or setup.py (Python)
  • Check Cargo.toml (Rust)
  • Check go.mod (Go)
  • Check Gemfile (Ruby)

Create Research Handoff

Write your findings to the handoff directory.

Handoff filename: repo-research-<repo-name>.md

---
date: [ISO timestamp]
type: repo-research
status: complete
repository: [repo name or path]
---

# Repository Research: [Repo Name]

## Overview
[1-2 sentence summary of what this project is]

## Architecture & Structure

### Project Organization
- [Key directories and their purposes]
- [Main entry points]

### Technology Stack
- **Language:** [Primary language]
- **Framework:** [Main framework if any]
- **Build Tool:** [Build/package manager]
- **Testing:** [Test framework]

### Key Files
- `path/to/important/file` - [Purpose]

## Conventions & Patterns

### Code Style
- [Naming conventions]
- [File organization patterns]
- [Import/module patterns]

### Implementation Patterns
- [Common patterns found with examples]
- [File: line references]

## Contribution Guidelines

### Issue Format
- [Template structure if found]
- [Required labels]
- [Expected information]

### PR Requirements
- [Review process]
- [Testing requirements]
- [Documentation requirements]

### Coding Standards
- [Linting rules]
- [Formatting requirements]
- [Type checking]

## Templates Found

| Template | Location | Purpose |
|----------|----------|---------|
| [Name] | [Path] | [What it's for] |

## Key Insights

### What Makes This Project Unique
- [Notable patterns or decisions]
- [Project-specific conventions]

### Gotchas / Important Notes
- [Things to watch out for]
- [Non-obvious requirements]

## Recommendations

### Before Contributing
1. [Step 1]
2. [Step 2]

### Patterns to Follow
- [Pattern with file reference]

## Sources
- [Files read with paths]

Returning to Orchestrator

After creating your handoff, return:

Repository Research Complete

Repository: [name]
Handoff: [path to handoff file]

Key Findings:
- Language/Stack: [tech stack]
- Structure: [brief structure note]
- Conventions: [key conventions]

Notable:
- [Most important insight 1]
- [Most important insight 2]

Ready for [planning/contribution/implementation].

Important Guidelines

DO:

  • Read documentation files completely
  • Note specific file paths and line numbers
  • Cross-reference patterns across the codebase
  • Distinguish official guidelines from observed patterns
  • Note documentation recency (last update dates)

DON'T:

  • Skip the handoff document
  • Make assumptions without evidence
  • Ignore project-specific instructions (CLAUDE.md)
  • Over-generalize from single examples

Search Strategies:

  • For code patterns: Grep with appropriate file type filters
  • For file discovery: Glob patterns
  • For structure: ls and find via Bash
  • Read files completely, don't sample

Example Invocation

Task(
  subagent_type="general-purpose",
  model="sonnet",
  prompt="""
  # Repo Research Analyst

  [This entire SKILL.md content]

  ---

  ## Your Context

  ### Repository Path:
  /path/to/cloned/repo

  ### Research Focus:
  [Optional: specific areas to investigate, e.g., "focus on API patterns"]

  ### Handoff Directory:
  thoughts/handoffs/<session>/

  ---

  Research the repository and create your handoff.
  """
)

平台分布

Claude Code

26.29%
按下载量换算647

OpenCode

21.33%
按下载量换算525

Gemini CLI

17.23%
按下载量换算424

Codex

13%
按下载量换算320

Cursor

6.97%
按下载量换算171

Antigravity

3.43%
按下载量换算84

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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