#
ENJA

claude-code-for-teams

darnoux/claude-code-for-teams

A team-shared company research skill that generates a consistent intelligence brief and saves it to local memory.

3 3MITUpdated 2026-05-18

Overview

This skill conducts structured company research by analyzing web signals, identifying ideal customer profiles, mapping go-to-market motions, and noting tech stacks and inflection points. It synthesizes these findings into a standardized markdown brief stored in the team's shared repository memory.

Capabilities

  • Pulls surface signals from company websites and press
  • Identifies ICPs and GTM motions
  • Maps public technology stacks from job postings
  • Detects corporate inflection points and funding events
  • Generates standardized markdown briefs and stores them in local memory

Best for

Preparing for customer discovery calls, Prepping pitch decks for specific target accounts, Updating existing customer profiles following significant company events

Works with

Claude Code
Evoa Score breakdown= Σ (score × weight)
69
Task usefulness20%88 → +17.6

実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 AIによるcapabilities/use-cases解析

Code quality15%90 → +13.5

実装・指示の品質。 AIによるSKILL.md/README解析

Maintenance15%85 → +12.8

リポジトリがどれだけ活発に保守されているか。 GitHub 最終push日時の新しさ

Documentation12%27 → +3.2

ドキュメントの充実度・分かりやすさ。 README/独自要約の情報量

Security15%80 → +12.0

危険・不審な挙動が無いか。 AIによるセキュリティレビュー

Originality10%65 → +6.5

ありふれたラッパーではない独自性。 AIによる独自性判定

Popularity8%25 → +2.0

コミュニティの採用度。 GitHub Stars/Forks(対数スケール)

Compatibility5%25 → +1.3

対応AIエージェントの広さ。 AIによる対応エージェント判定

Weighted total68.8 / 100

ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →

Security considerations

Strictly avoids collecting PII, credentials, API keys, or contracts. Operates purely through public web scraping and local file generation.

Categories

Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.