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research-gather研究聚集

Agent Skill

research-gather 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

558

周安装

23

GitHub Stars

公开资料未说明

下载量

182
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

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:research-gather(研究聚集)
来源仓库:https://github.com/pentaxis93/aiandi
仓库路径:skills/research-gather
安装命令:
npx skills add pentaxis93/aiandi --skill "research-gather"
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 pentaxis93/aiandi --skill "research-gather"

简介

发现并安装 AI 代理的技能,用于扩展 Agent 能力。

  • 适用于 Codex、Claude、Cursor、Gemini CLI 等宿主环境。
  • 通过 GitHub 仓库安装,支持技能动态加载。
  • 需确认 token 权限及是否允许联网或外部调用。
  • 建议检查仓库维护状态和技能兼容性。research-gather 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
research-gather
description
Systematically gather source material for blog articles. GitHub history, session transcripts, code examples, screenshots. Use at RESEARCH stage of blog pipeline.

Research Gather Skill

Purpose: Systematically assemble all source material needed for an article.


When to Use

At the RESEARCH stage of the blog pipeline, after IDEA is defined and before WALK.


Source Types

SourceWhat to GatherHow
GitHub historyCommits, PRs, issues relevant to storygit log, GitHub API
Session transcriptsPast Claude conversations on topicSearch transcripts collection
Code examplesActual code that demonstrates pointsExtract from repos
ScreenshotsUI states, terminal output, diagramsCapture or find existing
Dates & timelineWhen things happenedGit history, file dates
External referencesDocs, articles, tools mentionedWeb search, bookmarks

Process

0. Load Author Context

Before any research, read from eterne (private vault):

~/src/eterne/vault/03-resources/blog-context/
├── author.md           # Quick reference (always load)
├── timeline/overview.md # For chronological articles
├── people/family.md    # If relationships mentioned
└── themes/
    ├── spiritual.md    # If practice/philosophy relevant
    └── career.md       # If professional history relevant

Why eterne? Biographical context is private (names, health history, location).

This provides:

  • Verified biographical facts (prevents hallucination)
  • Current project metrics and scale
  • Key claims with evidence status
  • Family and relationship context
  • Spiritual/philosophical background
  • Career arc (including illness era context)

1. Define Research Questions

Based on the one-sentence teaching from IDEA stage:

  • What claims will this article make?
  • What evidence supports each claim?
  • What concrete examples illustrate each point?

2. Gather by Source Type

GitHub History:

# Find commits related to topic
git log --oneline --grep="[keyword]"
git log --oneline --since="2024-01-01" --until="2024-06-01" -- path/to/relevant/

# Find PRs
gh pr list --state all --search "[keyword]"

Session Transcripts:

  • Search packages/blog/src/content/transcripts/
  • Search conversation history for relevant topics
  • Note session dates and key exchanges

Code Examples:

  • Extract minimal, self-contained examples
  • Verify they still run
  • Note file paths and commit hashes for attribution

Timeline:

  • Build chronological sequence of events
  • Note key dates, durations, milestones

3. Organize Material

Create research file at pipeline/active/NNN-slug/02-research.md:

# Research: [Article Title]

## Claims & Evidence

### Claim 1: [Statement]
- Evidence: [source, quote, data]
- Example: [code/screenshot/transcript excerpt]

### Claim 2: [Statement]
...

## Timeline

| Date | Event | Source |
|------|-------|--------|
| YYYY-MM-DD | [What happened] | [Git commit / transcript / etc.] |

## Code Examples

### Example 1: [Description]

[code]

Source: [file path @ commit]

## Open Questions

- [Things to explore during WALK stage]
- [Gaps in evidence]

## Raw Material

[Links, excerpts, screenshots to process]

Quality Gate

Gate question: Do you have concrete examples for every claim?

Checklist:

  • [ ] Author context loaded and referenced
  • [ ] Every claim has supporting evidence
  • [ ] Timeline is documented with sources
  • [ ] Code examples are extracted and verified
  • [ ] Screenshots captured if needed
  • [ ] Gaps identified for WALK stage exploration

Anti-Patterns

Anti-PatternProblemFix
Vague notesCan't verify laterCite specific sources
Too much materialOverwhelms outlineFocus on claims, not completeness
Unverified examplesMay not workRun code, check links
Missing datesTimeline unclearAlways note when things happened

*Research serves the story. Precision now prevents problems later.*

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

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

trae

26.2%
按下载量换算48

Claude Code

21.63%
按下载量换算39

kiro-cli

19.1%
按下载量换算35

Gemini CLI

13.63%
按下载量换算25

Cursor

8.47%
按下载量换算15

OpenCode

3.19%
按下载量换算6

安全审计

暂无安全审计结果可展示。

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 pentaxis93/aiandi --skill "research-gather" 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。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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