Best fit
- コンテキスト深い研究を実施し、複雑なテーマについての権威ある答えを生成します。複数のソースをキュレート、相互参照、合成してコンテキスト内の完全な画像を構築します。
affaan-m/ECC
deep-research
コンテキスト深い研究を実施し、複雑なテーマについての権威ある答えを生成します。複数のソースをキュレート、相互参照、合成してコンテキスト内の完全な画像を構築します。
53Collecting
See how to use itView GitHub source
npx skills add https://github.com/affaan-m/ECC --skill "docs/ja-JP/skills/deep-research"Automated source guide
Source checked Jul 28, 2026·Refresh due Oct 26, 2026
Reorganized from the pinned upstream SKILL.md
Turn deep-research's source instructions into a guide you can follow
According to the pinned SKILL.md from affaan-m/ECC: 複雑なテーマについて複数のソースをキュレート、交差参照、合成して権威ある答えを生成します。
npx skills add https://github.com/affaan-m/ECC --skill "docs/ja-JP/skills/deep-research"Bring this context
- A concrete task that matches the documented purpose of deep-research.
- The files, examples, or context the task depends on.
- Your constraints, target environment, and definition of done.
Expected outputs
- A result that follows the pinned deep-research instructions.
- A concise record of assumptions, inputs used, and unresolved questions.
- A final check against the source workflow and relevant permission signals.
Key source sections
Read deep-research through these 3 source sections
Sections are extracted automatically from the pinned SKILL.md and link back to the source.
使用時期
ユーザーが「Xについて詳しく調べてくれ」と求める
ユーザーが「Xについて詳しく調べてくれ」と求めるトレードオフ分析、選択肢の比較市場調査、競合分析
ワークフロー
1. 質問を拡張 - キュレートするトピックと質問の軸を特定 2. 複数のソースをスキャン - Exa、GitHub、arXiv、論文、ブログ、ドキュメント 3. データを合成 - テーマごとにノートを整理、共通パターンを特定 4. メリット/デメリット表を構築 - トレードオフを明確に表示 5. 権威ある答えを構築 - コンテキスト内の完全な画像を提示
質問を拡張 - キュレートするトピックと質問の軸を特定複数のソースをスキャン - Exa、GitHub、arXiv、論文、ブログ、ドキュメントデータを合成 - テーマごとにノートを整理、共通パターンを特定
出力形式
要約（2-3段落）
要約（2-3段落）重要な発見（箇条書き）メリット/デメリット表
SkillSignal prompt templates
Provide the task, context, and acceptance criteria
These prompts were written by SkillSignal from the source structure; they are not upstream text.
Task-start prompt
Confirm source fit, inputs, and outputs before acting.
Use deep-research to help me with: [specific task]. Context: [files, data, or background]. Constraints: [environment, scope, and prohibited actions]. Before acting, check the pinned SKILL.md and explain which sections apply, what inputs are still missing, and what you will deliver.
Source-guided execution
Make the Agent explicitly follow the key extracted sections.
Apply the pinned deep-research source to [task]. Pay particular attention to these source sections: “使用時期”, “ワークフロー”, “出力形式”. Preserve the important decision at each step. Mark facts not covered by the source as “needs confirmation” instead of inventing them. Then verify the result against my acceptance criteria: [criteria].
Result-review prompt
Check omissions, permissions, and source drift before delivery.
Review the current deep-research result: (1) does it satisfy the original task; (2) were any applicable steps or limits in the pinned SKILL.md missed; (3) did it perform any unauthorized file, command, network, or data action; and (4) which conclusions remain unverified? List issues first, then fix only what the source or user authorization supports.
Output checklist
Verify each item before delivery
The task matches the purpose documented in the SKILL.md.
The source section “使用時期” has been checked.
The source section “ワークフロー” has been checked.
The source section “出力形式” has been checked.
Inputs, constraints, and acceptance criteria are explicit.
Unverified facts, compatibility, and outcome claims are clearly marked.
Any file, command, network, or data action has been reviewed.
Choose a different workflow
When another Skill is the better fit
deep-research
Use only when the user explicitly requests comprehensive multi-source research, such as "research X", "deep dive into X", "comprehensive review of X", "systematic comparison between X and Y", "investigate the landscape of X", or Chinese equivalents like "调研一下X", "深入研究X", "全面对比X与Y", "X的详细综述", "深度调查X". Do NOT trigger for simple questions, how-to guidance, ordinary recommendations, or content creation merely because research could improve the answer. Follow the source priorities supplied by the sys
A separate implementation from LazyAGI/LazyMind; compare its source, maintenance signals, and permission requirements.
Open source detaildeep-research
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.
Open source detaildeep-research
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.
Open source detailFAQ
What does deep-research do?
複雑なテーマについて複数のソースをキュレート、交差参照、合成して権威ある答えを生成します。
How do I start using deep-research?
The catalog detected this source-specific install command: npx skills add https://github.com/affaan-m/ECC --skill "docs/ja-JP/skills/deep-research". Inspect the command and pinned source before running it.
Which Agent platforms does it declare?
No dedicated Agent platform is declared in the pinned source record.
Repository stars
234,327
Repository forks
35,711
Quality
53/100
Source repository last pushed
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Documentation10/30
Specificity11/25
Maintenance20/20
Trust signals12/25
Compare before choosing
Related Agent Skills and source variants
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
deep-research by LazyAGI
Use only when the user explicitly requests comprehensive multi-source research, such as "research X", "deep dive into X", "comprehensive review of X", "systematic comparison between X and Y", "investigate the landscape of X", or Chinese equivalents like "调研一下X", "深入研究X", "全面对比X与Y", "X的详细综述", "深度调查X". Do NOT trigger for simple questions, how-to guidance, ordinary recommendations, or content creation merely because research could improve the answer. Follow the source priorities supplied by the sys
deep-research by affaan-m
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
deep-research by affaan-m
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
deep-research by affaan-m
使用firecrawl和exa MCPs进行多源深度研究。搜索网络、综合发现并交付带有来源引用的报告。适用于用户希望对任何主题进行有证据和引用的彻底研究时。
ab-testing by coreyhaines31
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program
View original Skill.mdThis page is parsed directly from the repository SKILL.md without editorial rewriting. Collected: Jul 28, 2026 · about 1 min
ディープ リサーチ
複雑なテーマについて複数のソースをキュレート、交差参照、合成して権威ある答えを生成します。
使用時期
- ユーザーが「Xについて詳しく調べてくれ」と求める
- トレードオフ分析、選択肢の比較
- 市場調査、競合分析
- 技術的な深掘り（フレームワーク、言語、ツール）
- 複数の権限筋からの情報を必要とする質問
ワークフロー
- 質問を拡張 - キュレートするトピックと質問の軸を特定
- 複数のソースをスキャン - Exa、GitHub、arXiv、論文、ブログ、ドキュメント
- データを合成 - テーマごとにノートを整理、共通パターンを特定
- メリット/デメリット表を構築 - トレードオフを明確に表示
- 権威ある答えを構築 - コンテキスト内の完全な画像を提示
出力形式
- 要約（2-3段落）
- 重要な発見（箇条書き）
- メリット/デメリット表
- 推奨事項またはベストプラクティス
- ソース参考文献
- Source repo
- affaan-m/ECC
- Skill path
- docs/ja-JP/skills/deep-research/SKILL.md
- Commit SHA
- 4e973d3eaf92
- Repository license
- MIT
- Data collected