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Agent Skill · 研究检索

context-gathering(背景收集)

context-gathering 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。

context-gathering 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,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 71,838。

总安装 192周安装 8GitHub Stars 公开资料未说明下载 64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:context-gathering(背景收集)
来源仓库:https://github.com/baxtercooper/nexus
仓库路径:skills/context-gathering
安装命令:
npx skills add baxtercooper/nexus --skill "context-gathering"
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。

AgentSkills.tonpx skills
npx skills add baxtercooper/nexus --skill "context-gathering"

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。

context-gathering 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。适用于项目启动初期、调研阶段或信息聚合型任务,帮助构建完整上下文。支持按主题、时间或来源类型过滤结果,提升信息收集效率。

安装命令为 npx skills add baxtercooper/nexus --skill "context-gathering",需留意是否触发系统命令调用。推荐在安装前测试其在不同宿主中的兼容性表现。

来源仓库内路径:skills/context-gathering

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 baxtercooper/nexus --skill "context-gathering";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

context-gathering 怎么安装?

在终端执行 npx skills add baxtercooper/nexus --skill "context-gathering"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

context-gathering 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。

context-gathering 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。

context-gathering 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。

context-gathering 用的人多吗?

公开数据是累计安装 192 次,近一周安装 8 次,下载 64 次。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。

context-gathering 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

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。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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

  • 要求有安全扫描结论才肯安装的团队。
  • 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
context-gathering

背景收集 · 本页

192—需要联网MIT未收录

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

name
context-gathering
description
Use when entering an unfamiliar codebase, starting a new feature, or before any implementation task. Provides structured exploration protocol to understand before acting.
version
1.0.0

Context Gathering Skill

Core Principle: Understand before acting.

When to Invoke

  • Starting work in an unfamiliar codebase
  • Beginning a new feature implementation
  • Before modifying code you haven't worked with before
  • When requirements reference parts of the system you don't understand
  • After a context switch to a different area of the codebase

Exploration Protocol

Execute these phases in order. Do not skip phases.

Phase 1: Architecture

Objective: Build mental map of the system.

1. Read documentation:
   - README.md (project purpose, setup)
   - docs/ directory (if exists)
   - CONTRIBUTING.md (conventions)
   - ARCHITECTURE.md (if exists)

2. Identify entry points:
   - Main entry file (main.py, index.ts, etc.)
   - CLI entry points
   - API routes/handlers
   - Event handlers

3. Map directory structure:
   - What does each top-level directory contain?
   - Where does business logic live?
   - Where are tests?
   - Where is configuration?

Phase 2: Patterns

Objective: Understand existing conventions.

1. Find similar features:
   - Search for implementations like what you'll build
   - Note how they're structured
   - Identify reusable patterns

2. Identify coding conventions:
   - Naming patterns (camelCase, snake_case, etc.)
   - File organization (one class per file? grouped by feature?)
   - Error handling patterns
   - Logging patterns

3. Note test patterns:
   - Test file naming
   - Test structure (describe/it, test classes, etc.)
   - Mocking patterns
   - Test data patterns

Phase 3: Dependencies

Objective: Understand external connections.

1. Check dependency files:
   - package.json / requirements.txt / Cargo.toml / etc.
   - Lock files for exact versions

2. Identify external services:
   - Databases
   - APIs
   - Message queues
   - Cache systems

3. Note version constraints:
   - Language version requirements
   - Framework version requirements
   - Breaking change warnings

Phase 4: Document Findings

Objective: Create actionable summary.

Use the output template below to capture findings.


Output Template

After exploration, produce this structured summary:

context_gathering:
  timestamp: [ISO 8601]
  target: "[Area being explored]"

  project_understanding:
    purpose: |
      [What the project does - 1-2 sentences]
    architecture: |
      [How it's structured - key components and their relationships]
    tech_stack:
      - [Language/Framework 1]
      - [Language/Framework 2]

  relevant_files:
    entry_points:
      - path: [file path]
        purpose: [what it does]
    similar_implementations:
      - path: [file path]
        relevance: [why it's relevant to current task]
    test_examples:
      - path: [file path]
        pattern: [what pattern it demonstrates]

  conventions_noted:
    naming: "[pattern observed]"
    file_structure: "[pattern observed]"
    error_handling: "[pattern observed]"
    testing: "[pattern observed]"

  dependencies:
    internal:
      - "[Module/package this code depends on]"
    external:
      - name: "[package name]"
        version: "[version]"
        purpose: "[why it's used]"

  gaps_in_understanding:
    - "[Thing you couldn't figure out]"
    - "[Area that needs clarification]"

  confidence: 0.0
  evidence:
    - "[File read]"
    - "[Search performed]"

Exploration Checklist

Before proceeding to implementation, verify:

  • [ ] I know where to put new code
  • [ ] I found at least one similar implementation to reference
  • [ ] I understand the test patterns to follow
  • [ ] I identified all external dependencies relevant to my task
  • [ ] I documented any gaps in understanding
  • [ ] I have confidence >= 0.7 in my understanding
[!CRITICAL] If confidence < 0.7, DO NOT proceed to implementation. Either gather more context or escalate gaps to user.

Anti-Patterns

What NOT to Do

Anti-PatternProblemInstead
"I'll figure it out as I go"Leads to inconsistent codeComplete exploration first
Skipping documentationMiss important constraintsAlways check docs first
Assuming conventionsIntroduces inconsistencyVerify patterns in existing code
Ignoring test patternsTests won't fit project styleStudy existing tests
Starting with implementationMay require extensive reworkUnderstand then implement

Integration with Other Skills

After Context GatheringInvoke
Ready to plan implementation→ writing-plans skill
Multiple approaches identified→ orchestration skill to decompose
Writing new code→ tdd skill

Chaining Rules

  1. ALWAYS complete context gathering before writing new code
  2. IF gaps remain THEN ask user for clarification before proceeding
  3. IF similar implementations found THEN reference them in your plan
  4. AFTER context gathered THEN invoke writing-plans for implementation

Example

Task: "Add a new API endpoint for user preferences"

Context Gathering Output:

context_gathering:
  timestamp: "2024-01-15T10:30:00Z"
  target: "User preferences API endpoint"

  project_understanding:
    purpose: |
      REST API backend for user management application
    architecture: |
      Express.js with layered architecture: routes → controllers → services → repositories
    tech_stack:
      - Node.js 18
      - Express.js 4.x
      - PostgreSQL with Prisma ORM

  relevant_files:
    entry_points:
      - path: src/routes/index.ts
        purpose: Route registration
    similar_implementations:
      - path: src/routes/users.ts
        relevance: Similar CRUD endpoint structure
      - path: src/controllers/users.controller.ts
        relevance: Controller pattern to follow
      - path: src/services/users.service.ts
        relevance: Service layer pattern
    test_examples:
      - path: tests/routes/users.test.ts
        pattern: Integration tests with supertest

  conventions_noted:
    naming: "camelCase for variables, PascalCase for classes"
    file_structure: "Feature-based: routes/, controllers/, services/"
    error_handling: "Custom AppError class with HTTP status codes"
    testing: "Jest with supertest, one test file per route file"

  dependencies:
    internal:
      - "src/middleware/auth.ts (authentication)"
      - "src/utils/validators.ts (input validation)"
    external:
      - name: "express"
        version: "^4.18.0"
        purpose: "Web framework"
      - name: "prisma"
        version: "^5.0.0"
        purpose: "Database ORM"

  gaps_in_understanding:
    - "Unclear if preferences should be separate table or JSON column in users table"

  confidence: 0.75
  evidence:
    - "Read: src/routes/users.ts"
    - "Read: src/controllers/users.controller.ts"
    - "Read: tests/routes/users.test.ts"
    - "Searched: 'preferences' in codebase - no existing implementation"

Next Step: Ask user about database schema preference, then proceed to writing-plans skill.

平台分布

kilo

29.52%
按下载量换算19

windsurf

24.9%
按下载量换算16

cline

16.47%
按下载量换算11

OpenCode

13.86%
按下载量换算9

Codex

7.86%
按下载量换算5

github-copilot

3.24%
按下载量换算2

安全审计

暂无安全审计结果可展示。

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。目前只有一个公开来源,建议同时核对源仓库。

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