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Agent Skill · 研究检索

reflection(reflection 分析)

reflection 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。

reflection 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 38,652。

总安装 1,529周安装 65GitHub Stars 1,493下载 536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:reflection(reflection 分析)
来源仓库:https://github.com/feiskyer/claude-code-settings
仓库路径:skills/reflection
安装命令:
npx skills add https://github.com/feiskyer/claude-code-settings --skill reflection
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/feiskyer/claude-code-settings --skill reflection

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。

用于查找、检索和筛选相关信息。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。适合在需要根据关键词或任务场景快速定位候选结果时使用。可结合来源仓库和原始 README 核验具体用法。安装前建议确认权限范围和维护状态。当前分类为研究检索。

reflection 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/reflection

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/feiskyer/claude-code-settings --skill reflecti…;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

reflection 怎么安装?

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

reflection 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。

reflection 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。

reflection 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。

reflection 用的人多吗?

公开数据是累计安装 1,529 次,近一周安装 65 次,下载 536 次,GitHub 1,493 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。

reflection 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。
  • 来源仓库有 1,493 星,维护活跃度相对可查。
  • 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
reflection

reflection 分析 · 本页

1,5291,493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

Reflection

Analyze the current session and improve Claude Code instructions. Operates in two modes based on user input.

Mode Selection

  • Quick mode (default): Triggered by /reflection or /reflection quick. Focuses on analyzing chat history to identify and implement improvements to CLAUDE.md instructions.
  • Deep mode: Triggered by /reflection deep or /reflection comprehensive. Performs a full session analysis covering problems solved, patterns established, user preferences, system understanding, and knowledge gaps, then updates CLAUDE.md accordingly.

Determine the mode from the user's input. If no mode is specified, use Quick mode. If the user says "deep", "comprehensive", or "harder", use Deep mode.


Quick Mode: CLAUDE.md Improvement

1. Analysis Phase

Review the chat history in the context window, then read the current CLAUDE.md file in the repository root.

Analyze both to identify areas for improvement:

  • Inconsistencies in Claude's responses
  • Misunderstandings of user requests
  • Areas where Claude could provide more detailed or accurate information
  • Opportunities to enhance handling of specific query types or tasks
  • Missing instructions that would have prevented mistakes made during the session

2. Analysis Documentation

Use TodoWrite to track each identified improvement area and create a structured approach for changes.

3. Interaction Phase

Present findings and improvement ideas to the user. For each suggestion:

  1. Explain the current issue identified
  2. Propose a specific change or addition to the instructions
  3. Describe how this change would improve Claude's performance

Wait for feedback on each suggestion before proceeding. If the user approves a change, move to implementation. If not, refine the suggestion or move on.

4. Implementation Phase

For each approved change:

  1. Use the Edit tool to modify the CLAUDE.md file
  2. State the section being modified
  3. Present the new or modified text
  4. Explain how this change addresses the identified issue

5. Output Format

Present the final output in this structure:

<analysis>
[Issues identified and potential improvements]
</analysis>

<improvements>
[For each approved improvement:
1. Section being modified
2. New or modified instruction text
3. Explanation of how this addresses the identified issue]
</improvements>

<final_instructions>
[Complete updated set of instructions incorporating all approved changes]
</final_instructions>

Commit changes using git after successful implementation.


Deep Mode: Comprehensive Session Analysis

1. Session Analysis Phase

Review the entire conversation history and identify:

Problems and Solutions
  • What problems were encountered?
  • Initial symptoms reported by the user
  • Root causes discovered
  • Solutions implemented
  • Key insights learned
Code Patterns and Architecture
  • Design decisions made
  • Architecture choices
  • Code relationships discovered
  • Integration points identified
User Preferences and Workflow
  • Communication style
  • Decision-making patterns
  • Quality standards
  • Workflow preferences
  • Direct quotes that reveal preferences
System Understanding
  • Component interactions
  • Critical paths and dependencies
  • Failure modes and recovery
  • Performance considerations
Knowledge Gaps and Improvements
  • Misunderstandings that occurred
  • Information that was missing
  • Better approaches discovered
  • Future considerations

2. Reflection Output Phase

Present a structured summary covering:

  • Session overview: High-level summary of what was accomplished
  • Problems solved: Each problem with root cause and solution
  • Patterns established: Design and code patterns worth remembering
  • User preferences: Workflow and communication preferences observed
  • System relationships: Component interactions and dependencies learned
  • Knowledge updates: New understanding gained about the codebase or domain
  • Commands and tools: Any tools or commands that were particularly useful or problematic
  • Future improvements: Suggestions for next steps or optimizations
  • Collaboration insights: What worked well and what could improve in the AI-human interaction

3. Action Items

After presenting the analysis, propose concrete actions:

  1. Update CLAUDE.md with specific sections reflecting learnings
  2. Add comments to specific files where understanding was gained
  3. Create documentation for specific topics if needed
  4. Test anything that needs verification

Use TodoWrite to track these action items. Wait for user approval before implementing changes.

4. Implementation

For each approved action, implement the change and commit using git.


Best Practices

  • Always read the current CLAUDE.md file before proposing changes
  • Use TodoWrite to track analysis progress and implementation tasks
  • Test proposed changes by considering edge cases and common scenarios
  • Ensure all modifications maintain consistency with existing patterns
  • Be thorough in analysis, clear in explanations, and precise in implementations
  • Commit changes using git after successful implementation

Your Task

Reflect on the current session. Determine the mode from the user's input — default to Quick mode if no mode is specified.

平台分布

Codex

36.29%
按下载量换算195

Claude

31.57%
按下载量换算169

Cursor

20.79%
按下载量换算111

Gemini CLI

8.89%
按下载量换算48

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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