AlphaMoatによると、2026-09時点でClaudeのダウンロード数は3,201、スター数は1で、AIスキル全体5,078件中3,556位、専門分野では465件中287位です。
| プラットフォーム | インストール数 | ダウンロード数 | スター数 | コメント |
|---|---|---|---|---|
| ClawHub ↗ | 57 | 2007 | - | - |
| SkillHub ↗ | 161 | 3201 | 1 | — |
プラットフォームごとに集計方法と集計時点が異なります。
文書の中心的な論理、前提、矛盾、曖昧さ、リスクを抽出し、意思決定に役立つ形で要約、比較、診断、書き換えを行います。事実、推論、提案を分け、重要なニュアンスと不確実性を保ちます。資格を持つ専門家の法的助言や、法務・税務・コンプライアンス・調達・契約の正式承認を代替しません。 文書または抜粋、確認目的、意思決定、読者、分析方式を指定します。未解決の前提と不確実性を明示し、分析で事実や承認権限を作り出しません。
資料公開日 2026-10-27
スキルのドキュメントをもとに生成した例であり、実際の実行結果ではありません。
2026-09 から集計方法を変更し、同名スキルを作者ごとに分けて集計し、全スキルを対象にしました。破線は変更前の月で、変更後のデータとは直接比較せず、変更をまたぐ増減も計算していません。 同名の別スキルがあるため、変更前のデータは現在ダウンロード数が最も多いこのスキルに帰属させています。
| 月 | ダウンロード数 | 前月比 | スター数 |
|---|---|---|---|
| 2026-09 | 3201 | — | 1 |
| 2026-08 | 2141 | +20.4% | 1 |
| 2026-07 | 1778 | +18.7% | 1 |
| 2026-06 | 1498 | +18.1% | 1 |
| 2026-05 | 1268 | — | 1 |
| 2026-03 | 691 | — | - |
作者が公開した元のファイルをテキストのまま表示しています。AlphaMoat による編集や審査はしていません。リンクはクリックできません。コマンドは内容を確認してから実行してください。取得日 2026-10-23。
--- name: Claude description: > Optimize long-context reasoning for commercial, legal, and high-stakes documents. Built for users who need stronger logic, cleaner structure, and deeper analysis across contracts, memos, negotiations, and complex written materials. version: 1.0.0 --- # Claude
> **Turn long, messy, high-stakes documents into sharper reasoning and cleaner decisions.** Claude is a long-context reasoning optimizer for commercial and legal document workflows. Use this skill when you need to: - analyze long contracts, memos, proposals, or negotiations - improve reasoning quality across dense written material - surface contradictions, weak logic, or missing assumptions - compress large documents into decision-ready summaries - strengthen document structure before review or approval - compare multiple versions of a long-form document This skill does NOT: - replace licensed legal advice - guarantee correctness in regulated or high-risk matters - sign off on legal, tax, or compliance decisions - act as a substitute for professional counsel --- ## What This Skill Does Claude helps: - extract the core logic from long documents - identify missing assumptions and weak reasoning - clarify structure, argument flow, and decision relevance - detect inconsistencies, ambiguity, and hidden risk - improve summaries without losing critical nuance - rewrite dense content into cleaner, more usable formats --- ## Best Use Cases - contract review preparation - commercial memo analysis - proposal and redline review - policy comparison - negotiation brief preparation - board or executive memo compression - legal-adjacent document structuring --- ## What to Provide Useful input includes: - the full document or excerpt - the purpose of the review - the decision being supported - known risks or pressure points - the audience for the final output - whether you want diagnosis, summary, rewrite, or comparison --- ## Standard Output Format DOCUMENT ASSESSMENT ━━━━━━━━━━━━━━━━━━━━━━━━━━ Purpose: [What this document is trying to do] Audience: [Who the output is for] Decision relevance: [Why this matters] CORE LOGIC ━━━━━━━━━━━━━━━━━━━━━━━━━━ - [Main claim / obligation / commercial point] - [Supporting logic] - [Critical assumption] RISKS / WEAK POINTS ━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ [Ambiguity] ⚠️ [Contradiction] ⚠️ [Missing assumption] ⚠️ [Commercial or legal risk signal] STRUCTURE IMPROVEMENTS ━━━━━━━━━━━━━━━━━━━━━━━━━━ 1. [How to make reasoning clearer] 2. [How to reduce ambiguity] 3. [How to improve decision usefulness] RECOMMENDED NEXT STEP ━━━━━━━━━━━━━━━━━━━━━━━━━━ - [Review further / rewrite / compare versions / escalate to counsel / prepare summary] --- ## Reasoning Principles - preserve critical nuance - do not compress away risk - separate fact, inference, and recommendation - identify what is explicit vs implied - highlight missing assumptions before proposing conclusions - prefer clarity over flourish - never invent legal or commercial certainty --- ## Execution Protocol (for AI agents) When user provides a long document, follow this sequence: ### Step 1: Parse context Extract: - document type - intended audience - decision being supported - major obligations, claims, or asks - commercial or legal sensitivity ### Step 2: Identify logic structure Map: - what the document is saying - why it matters - what assumptions it depends on - what could fail under scrutiny ### Step 3: Detect weaknesses Check for: - ambiguity - contradiction - undefined terms - missing scope boundaries - missing decision logic - hidden risk transfer - structural confusion ### Step 4: Improve usefulness Depending on request: - summarize - rewrite - compare - diagnose - convert into brief / memo / checklist ### Step 5: Guardrails If legal or commercial certainty cannot be established from the text: - say so clearly - mark uncertainty - do not fabricate confidence --- ## Activation Rules (for AI agents) ### Use this skill when the user asks about: - long documents - contract-like text - legal-adjacent review - memo analysis - commercial document reasoning - dense text summarization with nuance - comparing two long versions of a document ### Do NOT use this skill when: - user only needs a casual short rewrite - user needs creative writing instead of reasoning - user needs formal legal advice or sign-off - user asks for certainty where the text does not support it ### If context is ambiguous Ask: "Do you want deep reasoning and document analysis, or just a simple rewrite?" --- ## Works Well With - `@ethagent/review` for narrower document review workflows - `@ethagent/draft` for rewriting after diagnosis - `@dpetcr/proposal` for commercial proposal refinement --- ## Boundaries This skill supports reasoning, structuring, and analysis of long commercial and legal-adjacent documents. It does not replace: - licensed legal advice - contract execution authority - procurement approval - tax or compliance judgment Use outputs as analytical support, not formal sign-off.
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データ月:2026-09 · ダウンロード数、スター数、インストール数は公開スキルレジストリ(ClawHub、SkillHub)から月単位で集計しています。詳しくはデータの方法論をご覧ください。