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insightsinsights 搜索

Agent Skill

insights 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

392

周安装

16

GitHub Stars

18

下载量

127
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:insights(insights 搜索)
来源仓库:https://github.com/jay-523/agent-skills
仓库路径:skills/insights
安装命令:
npx skills add https://github.com/jay-523/agent-skills --skill insights
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/jay-523/agent-skills --skill insights

简介

insights 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 insights 技能。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 建议结合原始 README 核验具体用法和功能边界。

SKILL.md

/insights -- Extract Session Insights for CLAUDE.md

Analyze Claude Code session transcripts to extract patterns that should be codified in CLAUDE.md files. Produces two-level output: Global entries (apply to all projects) and Project entries (apply to this project only).

Arguments

  • current (default): Analyze the most recent session transcript
  • latest: Analyze the 3 most recent session transcripts
  • all: Analyze the 10 most recent session transcripts

Procedure

Step 1 -- Locate Transcripts

Find session JSONL files for this project:

ls -lt ~/.claude/projects/*/

Identify the encoded project path that matches the current working directory. Sort by modification time (newest first).

Based on the argument:

  • current / no argument: read the 1 most recent.jsonl file
  • latest: read the 3 most recent.jsonl files
  • all: read the 10 most recent.jsonl files

Step 2 -- Extract Insights

Scan user messages in each transcript for five categories:

A. Corrections and Redirections Look for signals: "no", "wrong", "actually", "instead", "should be", "not that", "stop", user restating the same instruction differently, or messages where the user interrupted and changed direction.

For each correction:

  • What was Claude's wrong assumption?
  • What is the correct behavior the user wanted?

B. Coding Style Preferences Look for: naming conventions, formatting preferences, comment style, import ordering, file organization, language/framework choices.

C. Tool and Workflow Preferences Look for: preferred package managers, test runners, build tools, shell commands, editor workflows, git conventions, CI/CD preferences.

D. Communication Style Look for: preferred response length, level of explanation desired, when to ask vs. proceed, tone preferences, what annoys the user.

E. Architecture and Project Patterns Look for: module structure, dependency patterns, API design, error handling conventions, naming patterns specific to this project.

Step 3 -- Categorize by Scope

Assign each insight to a scope:

CategoryScope
Coding style preferencesGlobal (~/.claude/CLAUDE.md)
Tool/workflow preferencesGlobal (~/.claude/CLAUDE.md)
Communication styleGlobal (~/.claude/CLAUDE.md)
Architecture/project patternsProject (./CLAUDE.md)
Corrections -- depends on contextEither (judge by specificity)

Step 4 -- Check for Duplicates

Read the existing CLAUDE.md files:

  • ~/.claude/CLAUDE.md (global)
  • ./CLAUDE.md (project, if it exists)

Compare each extracted insight against existing entries. Mark duplicates so they are not proposed again.

Step 5 -- Present Findings

Output a findings table:

| # | Insight | Category | Scope | Duplicate? |
|---|---------|----------|-------|------------|
| 1 | ... | Correction | Project | No |
| 2 | ... | Coding style | Global | Yes (line 42) |

Then output draft CLAUDE.md entries organized by scope:

## Global Entries (for ~/.claude/CLAUDE.md)

- Entry 1
- Entry 2

## Project Entries (for ./CLAUDE.md)

- Entry 1
- Entry 2

Important

  • Do NOT modify any files. Present findings for the user to review.
  • The user decides what to add and where.
  • If no meaningful insights are found, say so plainly rather than fabricating entries.
  • Skip transcripts that are too short to contain useful patterns (fewer than 10 user messages).

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45

Claude

28.54%
按下载量换算36

Cursor

19.37%
按下载量换算25

Gemini CLI

9.69%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

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/jay-523/agent-skills --skill insights 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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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