supervisor-review-queue

作成者: anthropic

教授のレビューキュー — 学生の成果物は、クライアントや裁判所に送られる前にここで教授の承認を待ちます。「正式なレビューキュー」監督が有効な場合のみ動作します…

npx skills add https://github.com/anthropics/claude-for-legal --skill supervisor-review-queue

/supervisor-review-queue

  1. Check ~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md → supervision style. If NOT "formal review queue": explain the clinic is set up for [flags/lighter-touch], no formal queue exists, and how to switch.
  2. Use the workflow below.
  3. Default: show what's waiting, by urgency, by student.
  4. Actions: approve / edit-then-approve / return with note. All logged.
/legal-clinic:supervisor-review-queue
/legal-clinic:supervisor-review-queue --approve Q-003
/legal-clinic:supervisor-review-queue --return Q-004 "Check the service requirement — local rules changed"

Supervisor Review Queue (Optional)

Purpose

Some clinics want a formal gate: student drafts, professor reviews, output releases. Others find that too prescriptive — they supervise through case rounds and one-on-ones, not through a queue.

This skill is only active if ~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md → Supervision style is "formal review queue." Otherwise it's dormant — the cold-start interview asks the professor which model they want, and this is one of three options.

Whether to use a formal review workflow is genuinely an open question for clinic adoption. It depends on student experience level, caseload, and how the professor already runs supervision. The professor decides at setup and can change it later.

Load context

~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md → supervision style. If NOT "formal review queue": respond with "The clinic is set up for [flags/lighter-touch] supervision — there's no formal queue. [Professor] reviews through [the clinic's existing structure]. To switch to a formal queue, edit CLAUDE.md → Supervision style."

If formal queue IS enabled → read flag triggers and proceed.

The queue

Lives at references/review-queue.yaml. Each entry:

- id: Q-001
  type: "draft"  # intake | draft | memo | status | client-letter
  client: "[name or ID]"
  student: "[name]"
  submitted: [timestamp]
  flags:
    - rule: "Court filing"
      detail: "Eviction answer — always queued"
  content_path: "[path to the document]"
  status: "pending"  # pending | approved | edited-approved | returned

Modes

What's waiting

## Review Queue — [date]

**Pending:** [N] | **Oldest:** [N] hours

### 🔴 Deadline-sensitive
| ID | Type | Client | Student | Why flagged | Waiting |
|---|---|---|---|---|---|

### Standard
[same table]

### By student
[Breakdown — spot patterns: who's queueing a lot, who might need a check-in]

Review an item

Show full content + why it was flagged + student notes.

Approve / edit-then-approve / return

  • Approve: Status → approved, student notified, logged.
  • Edit then approve: Professor edits inline, approved version is the edited one, original preserved in log so student sees the diff (teaching moment).
  • Return: With a note. Student revises and resubmits.

Logging

Every action logged. Approval logs are clinic records — they document that a licensed attorney, solicitor, barrister, or other authorised legal professional in the clinic's jurisdiction reviewed student work before it went to a client or court. That matters for the clinic's own compliance and for student evaluation.

Teaching signal

The queue is also data. Pattern in returns ("Student X keeps missing the service requirement") is a coaching conversation. Pattern in edits ("Everyone's demand letters are too long") is a /ramp update for next semester.

What this skill does NOT do

  • Run unless the professor chose it. It's one of three supervision models, not the only one.
  • Auto-approve. The professor approves.
  • Replace the clinic's existing supervision structure. It's a gate for work product, not a substitute for case rounds, one-on-ones, or watching students in action.

anthropicのその他のスキル

analyzing-financial-statements
anthropic
このスキルは、財務諸表データから投資分析のための主要な財務比率や指標を計算します。
applying-brand-guidelines
anthropic
このスキルは、生成されるすべてのドキュメントに一貫したコーポレートブランディングとスタイリング(色、フォント、レイアウト、メッセージングを含む)を適用します。
creating-financial-models
anthropic
このスキルは、DCF分析、感応度テスト、モンテカルロシミュレーション、および投資のためのシナリオプランニングを備えた高度な財務モデリングスイートを提供します…
board-minutes
anthropic
取締役会や委員会の議事録を自社のフォーマットで草稿します。カレンダーから今後の取締役会や委員会の会議を自動検出し、議題などを尋ねます…
crm-cleanup
anthropic
HubSpot内の古い商談、重複した連絡先、欠落フィールドをスキャンし、所有者が承認したものを修正します。オプションのスコープ引数で商談、連絡先などを指定可能。
redshift-api
anthropic
Amazon Redshiftに対してSQLを実行 — ステートメントの送信、ステータスのポーリング、結果のページング、データベース/スキーマ/テーブルの参照を行います。ユーザーが希望する場合にこれを使用してください…
ticket-deflector
anthropic
転送された顧客メールまたはチケットを読み取り、PayPalから注文/返金ステータスを、HubSpotからアカウント履歴を取得し、オーナーのトーンに合わせた返信を下書きします。
reg-feed-watcher
anthropic
規制フィードを今すぐチェックし、前回のチェック以降の新着情報を、あなたの重要度基準でフィルタリングして報告します。ユーザーが「フィードをチェックして」と言った場合に使用します。