# Co Enterprise Deep Research

> Market and industry research with web_search, /research command, and MCP. Benchmarking, trend analysis, and competitive intelligence for enterprise context. Use when RESEARCHING industry trends, benchmarking competitors, gathering market data, or collecting evidence for enterprise transformation decisions.

- Skill: `nahisaho/co-enterprise-deep-research` (Agent Skill)
- Install (CLI): `npx skillmds@latest add nahisaho/co-enterprise-deep-research`
- Raw SKILL.md: https://api.skillmd.com/api/skills/nahisaho/co-enterprise-deep-research/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: nahisaho (https://skillmd.com/u/nahisaho)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/nahisaho/co-enterprise-deep-research

---


# Deep Research (Enterprise)

Market and industry research with multi-tool search.

## Research Tools (Priority Order)

### 1. `web_search` (Built-in — Always Available)
```
web_search("enterprise digital transformation ROI benchmark 2025")
web_search("operating model redesign best practices McKinsey")
```

### 2. `/research` command (CLI — Interactive)
```
/research What are the key success factors for enterprise-wide transformation programs?
```

### 3. `deep-research` MCP (When Configured)
Full pipeline research.

## Deliverables

- `results/research-notes.md`: findings with source attribution.

## Quality Gates

- [ ] 3+ trusted sources.
- [ ] Key data cross-validated.
- [ ] Single-source claims marked ⚠️.

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

## Gotchas

- `web_search` は常に利用可能。MCP なしでもリサーチは実行できる
- 検索は日英両方で行うこと
- 収集データは各ラウンド後にファイルに保存

## Validation Loop

1. リサーチ実行 → 2. 3+ソース確認 → 3. 合格後のみ完了