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Article Agent Context Research

Community
HayattiQ
article-agent-context-research

記事執筆の前工程として、周辺情報をWeb等で検索し、一次情報・論点・反論・用語・数字を揃えたContext Packを作る。

Overview

PublisherHayattiQ
Repositoryx-research-skills
Skill namearticle-agent-context-research
Stars
95
Forks
13
Bundled files
2
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by HayattiQ on GitHub. Read the source before you install it.

Installation

Install the Article Agent Context Research AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/HayattiQ/x-research-skills/tree/main/skills/article-agent-context-research
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/HayattiQ/x-research-skills.git /tmp/x-research-skills
mkdir -p .claude/skills
cp -r /tmp/x-research-skills/skills/article-agent-context-research .claude/skills/article-agent-context-research
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Article Agent Context Research in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Article Agent Context Research on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Article Agent Context Research is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Article Agent Context Research (周辺リサーチ)

Overview

factcheck は「書いた後の裏取り」。これは「書く前の地ならし」。任意のネタ/問いについて、Web上の一次情報/定義/反論/関連事例を集め、記事が“薄くならない”状態を作る。

Defaults (this project)

  • プラットフォーム: X(Twitter) 固定(記事はX配信前提)
  • 目的: impressions の最大化
  • 想定読者: 投資家、エンジニア向けユーザー
  • アカウント: 個人発信(投資家・経営者インフルエンサー)
  • 領域: AI / Web3
  • トンマナ: 常体、ストーリー薄め、結論先出し
  • NG: 追加のNG指定なし(ただし投資助言/断定は避ける)

When To Use

  • $article-agent-ideation の候補が良いが、記事にすると“中身が薄い”懸念がある
  • 定義/一次情報/反論が揃っていない
  • Webの周辺情報(公式ドキュメント、GitHub、論文、仕様、比較)を拾って深みを出したい
  • $article-agent-outliner の前に、材料を厚くしたい

Intake (ask first if missing)

  • 何を調べるか(そのまま日本語でOK。例: 「ClaudeにX検索スキルを足してリサーチを自動化する」)
  • どちらに寄せるか: 投資家 / エンジニア
  • 記事の狙い(1文。仮でOK)

不足なら最初にこれだけ質問する:

  • 「何を周辺リサーチする?(そのまま入力して)」

Inputs (preferred)

  • Idea Creation Report: data/idea-creation/*_ideation.md(最新)
  • (任意)Xリンク深掘り: data/article-research/*(あれば)

Workflow

  1. Select topic 入力された「調べたいこと」を、そのまま検索/整理の主題にする。 (Idea Creation Report起点なら、候補の該当セクションをそのまま貼っても良い。)

  2. Web search plan 以下の“型”で検索クエリを作り、幅を出す(最低8クエリ)。

  • 定義: X API 検索 エンドポイント / Claude Code skills など
  • 一次情報: 公式Docs / 公式ブログ / 仕様 / 料金 / 利用規約
  • 実装: GitHub / sample code / SDK / MCP server examples
  • 反論: 制限、レート、偏り、信頼性、コンプラ
  • 比較: 代替手段(RSS/Reddit/News/公式更新)との違い
  1. Collect sources (priority) 優先順位:
  • 公式(一次情報) > GitHub(実装) > 信頼できる二次情報
  1. Extract “depth” 記事が深くなる要素を最低2つ作る:
  • 数字(dated): 料金/レート/制限/仕様
  • 反論と返し: 「できないこと/危険」と「対策」
  • 定義: 用語の誤解を潰す一文
  1. Draft context pack (Grok delegate) npm run grok:context -- --topic \"...\" でGrok(x_search)に周辺情報リサーチを委任し、Context Packの原稿を得る。 その後、references/context_pack_template.md の形に整形する(引用は短く、URLで追える形)。

Output (required)

必ず data/context-research/ に Context Pack を1つ保存する。

  • ファイル名: YYYYMMDD_HHMMSSZ_context.md(UTC推奨)
  • テンプレ: references/context_pack_template.md
  • 末尾に Sources(URL)一覧を入れる

備考:

  • npm run grok:context は .json/.txt/.md も併せて保存する(調査ログ用)

Hand-off

  • 見出し作成: $article-agent-outliner(Context Packを入力にする)
  • 本文執筆: $article-agent-writer
  • 書き上げ後の裏取り: $article-agent-research-factcheck

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Article Agent Context Research AI skill do?

記事執筆の前工程として、周辺情報をWeb等で検索し、一次情報・論点・反論・用語・数字を揃えたContext Packを作る。

Why use Article Agent Context Research on TypingMind?

Because you install it once and use it with any model. Article Agent Context Research is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Article Agent Context Research in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HayattiQ/x-research-skills/tree/main/skills/article-agent-context-research. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Article Agent Context Research?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Article Agent Context Research?

As many as you like. As long as a model supports skills, you can use Article Agent Context Research with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Article Agent Context Research AI skill free?

It is published on GitHub by HayattiQ. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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