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Is Co Consultant Mck Deep Research free to use?

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nahisaho (@nahisaho) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Co Consultant Mck Deep Research by nahisaho

Name: Co Consultant Mck Deep Research
Author: nahisaho

Co Consultant Mck Deep Research

Iterative deep research with Think→Action→Report cycle for McKinsey-style engagements. Web search via web_search tool, /research command, and MCP integration. Bilingual search, source quality assessment, and cross-validation. Use when COLLECTING information, verifying market data, conducting competitive analysis, or gathering evidence for MCK framework application.

nahisaho Updated Sep 17, 2026

File contents

Deep Research (MCK)

Hypothesis-driven iterative research for McKinsey-style consulting.

Use This Skill When

Collecting market, competitive, or technology intelligence.
Verifying business data from multiple sources.
Gathering evidence before applying MCK frameworks.

Research Tools (Priority Order)

1. `web_search` tool (Built-in — Always Available)

Targeted web queries. Always run bilingual (JP + EN):

web_search("Japan digital transformation market size 2025")
web_search("McKinsey MCK framework case study")

Best for: focused data points, market statistics, recent news, company data.

2. `/research` command (CLI — Interactive Sessions)

Comprehensive multi-source investigation:

/research What is the competitive landscape for [target market]?

Best for: complex research questions needing automated sub-question decomposition.

3. `deep-research` MCP (When Configured)

Full pipeline: elaborate → subquestions → search → analyze → report.

Workflow

Think Phase

Analyze knowledge gaps against the objective.
Generate hypotheses.
Choose tool: web_search for targeted, /research for comprehensive, MCP for pipeline.

Action Phase

Action	Tool	When
SEARCH	`web_search` (bilingual JP+EN)	Need specific data points
RESEARCH	`/research` command	Need comprehensive multi-source investigation
VISIT	`web_fetch`	Need full page content from URL
VERIFY	`web_search` (2nd query)	Cross-validate key numbers/facts
COMPLETE	—	All completion criteria met

Bilingual: Always search in both Japanese and English.
Academic priority: Prefer .ac.jp, .edu, .gov domains.
Cross-validation: Verify key data with 2+ sources.

Report Phase

Update findings after each round.
Tag each fact with source URL and trust level.
Mark single-source findings with ⚠️.

Deliverables

results/research-notes.md: findings with source attribution.
results/source-registry.md: all sources with trust ratings.

Quality Gates

3+ trusted sources collected.
Weighted trust average ≥ 60%.
Key hypotheses verified or refuted.
Single-source claims marked with ⚠️.

If any gate fails: identify the issue, fix, and re-validate.

Gotchas

web_search は常に利用可能。MCP が設定されていなくても Web 検索は実行できる
検索は日英両方で行うこと。英語のみだと日本市場固有のデータを見落とす
/research コマンドは CLI インタラクティブセッションでのみ使用可能。自動化では web_search を使う
McKinseyのレポート・出版物は信頼度「高」として扱うが、自社バイアスに注意すること
収集データは各ラウンド後にファイルに保存。コンパクションで消失する
Phase間の引き継ぎは必ず results/research-notes.md に保存してからハンドオフすること

Validation Loop

リサーチラウンドを実行
チェック: 3+ソース、交差検証済み、⚠️タグ付き
不合格なら追加ラウンド
全基準を満たしてからCOMPLETE

---name: co-consultant-mck-deep-researchdescription: Iterative deep research with Think→Action→Report cycle for McKinsey-style engagements. Web search via web_search tool, /research command, and MCP integration. Bilingual search, source quality assessment, and cross-validation. Use when COLLECTING information, verifying market data, conducting competitive analysis, or gathering evidence for MCK framework application.---# Deep Research (MCK)Hypothesis-driven iterative research for McKinsey-style consulting.## Use This Skill When- Collecting market, competitive, or technology intelligence.- Verifying business data from multiple sources.- Gathering evidence before applying MCK frameworks.## Research Tools (Priority Order)### 1. `web_search` tool (Built-in — Always Available)Targeted web queries. Always run bilingual (JP + EN):```web_search("Japan digital transformation market size 2025")web_search("McKinsey MCK framework case study")```Best for: focused data points, market statistics, recent news, company data.### 2. `/research` command (CLI — Interactive Sessions)Comprehensive multi-source investigation:```/research What is the competitive landscape for [target market]?```Best for: complex research questions needing automated sub-question decomposition.### 3. `deep-research` MCP (When Configured)Full pipeline: elaborate → subquestions → search → analyze → report.## Workflow### Think Phase- Analyze knowledge gaps against the objective.- Generate hypotheses.- Choose tool: `web_search` for targeted, `/research` for comprehensive, MCP for pipeline.### Action Phase| Action | Tool | When ||--------|------|------|| SEARCH | `web_search` (bilingual JP+EN) | Need specific data points || RESEARCH | `/research` command | Need comprehensive multi-source investigation || VISIT | `web_fetch` | Need full page content from URL || VERIFY | `web_search` (2nd query) | Cross-validate key numbers/facts || COMPLETE | — | All completion criteria met |- **Bilingual**: Always search in both Japanese and English.- **Academic priority**: Prefer `.ac.jp`, `.edu`, `.gov` domains.- **Cross-validation**: Verify key data with 2+ sources.### Report Phase- Update findings after each round.- Tag each fact with source URL and trust level.- Mark single-source findings with ⚠️.## Deliverables- `results/research-notes.md`: findings with source attribution.- `results/source-registry.md`: all sources with trust ratings.## Quality Gates- [ ] 3+ trusted sources collected.- [ ] Weighted trust average ≥ 60%.- [ ] Key hypotheses verified or refuted.- [ ] Single-source claims marked with ⚠️.If any gate fails: identify the issue, fix, and re-validate.## Gotchas- `web_search` は常に利用可能。MCP が設定されていなくても Web 検索は実行できる- 検索は日英両方で行うこと。英語のみだと日本市場固有のデータを見落とす- `/research` コマンドは CLI インタラクティブセッションでのみ使用可能。自動化では `web_search` を使う- McKinseyのレポート・出版物は信頼度「高」として扱うが、自社バイアスに注意すること- 収集データは各ラウンド後にファイルに保存。コンパクションで消失する- Phase間の引き継ぎは必ず `results/research-notes.md` に保存してからハンドオフすること## Validation Loop1. リサーチラウンドを実行2. チェック: 3+ソース、交差検証済み、⚠️タグ付き3. 不合格なら追加ラウンド4. 全基準を満たしてからCOMPLETE

Frequently asked questions