1Passwordに保存したパスワードやAPIキーを、コマンド実行や設定テンプレートで使うためのスキル。CLIの導入、認証、秘密情報の取得・受け渡しを案内します。
- 1Password CLIの導入と設定
- 保存済みAPIキーでコマンド実行
- 設定テンプレートへの秘密情報の埋め込み
Review Kanban handoffs and route verified outcomes.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Independently verify work handed from a Kanban implementation run to the review lane, then approve it, request changes, or escalate. This skill reviews the deliverable and its evidence; it does not take over the implementer's work.
Use this skill when all of the following are true:
review lane;review_requested handoff;Do not use it for a separate downstream review card. A downstream card is ordinary implementation work with a review-oriented specification and completes through its own lifecycle.
kanban_show, kanban_comment, kanban_complete, kanban_request_changes, and kanban_block.read_file, search_files, and terminal when the deliverable is code.kanban_show.This skill is loaded automatically by the review dispatcher. Start with kanban_show before inspecting files or choosing a verdict.
review_requested handoff.| Verdict | When | Final action |
|---|---|---|
| Approve | Acceptance criteria and verification pass | kanban_complete |
| Request changes | Correctable implementation defects remain | kanban_comment, then kanban_request_changes |
| Escalate | A human decision or external prerequisite is required | kanban_block |
A requested-changes transition returns the task to its original implementer. When that implementer requests review again without naming a reviewer, the persisted reviewer provenance routes the re-review back to the same reviewer profile.
Vary how you look at the work on each round instead of repeating the same inspection. Decorrelated lenses catch different defect classes: a cold read of the artifact surfaces design and correctness problems that the implementer's narrative would have framed away, execution surfaces claims that do not reproduce, and a strict contract audit surfaces quiet scope drift. Repeating the round-1 lens on round 3 mostly re-finds what round 1 already found.
Determine the current round from the history the task record already gives you: count the changes_requested entries in the "Prior attempts on this task" section of your worker context (also visible as prior runs in kanban_show). The current review round is that count plus one. Round 1 therefore shows zero changes_requested attempts; round 2 shows one; and so on.
| Round | Lens | How to apply it |
|---|---|---|
| 1 | Artifact | Read the diff or deliverable cold, before the implementer's summary. Form an independent judgment, then compare it against the handoff narrative and investigate every mismatch. |
| 2 | Execution | Check out the work and actually run it via terminal: build, test, and exercise the reported behavior yourself. Verify each handoff claim empirically instead of re-reading the artifact. |
| 3+ | Contract | Re-read the ORIGINAL task body and acceptance criteria, then audit the deliverable strictly against them. Also verify that every item from every prior kanban_request_changes round actually landed. |
The baseline duties in the Procedure section still apply on every round; the lens sets which inspection you lead with and weight most heavily.
The same principle applies outside the Kanban review lane. When spawning multiple parallel reviewers via delegate_task, give each reviewer a different lens — one diff-only brief, one full-context brief, one checkout-and-run brief — rather than identical briefs. Identical briefs produce correlated verdicts and duplicate findings; varied briefs cover more defect classes for the same review spend.
Call kanban_show and identify:
Treat the handoff as a claim to verify, not as proof that the work is correct.
Map every acceptance criterion to concrete implementation or output evidence. Note omissions, changed semantics, and unrelated scope before deciding whether to run deeper checks.
For code work:
read_file and search_files to inspect the changed paths and their callers.terminal to inspect the diff and run the project's existing focused tests, lint, type checks, or build commands.For non-code work:
Approve only when the acceptance criteria are satisfied and the evidence is sufficient. Call:
kanban_complete(
summary="Reviewed and approved. <what was verified>",
metadata={"review_outcome": "approved", "reviewer_checks": [...]}
)
Include the exact checks that passed and any bounded caveat that does not block acceptance.
Use this for specific, correctable defects. First record actionable findings:
kanban_comment(
task_id="<current-task-id>",
body="Changes requested:\n1. <file or artifact + defect>\n2. <required correction>",
)
Then return the same task to its implementer:
kanban_request_changes(
reason="<concise summary of the required corrections>"
)
State where the defect is, how it reproduces, why it violates the task, and what minimum outcome would resolve it. The transition does not use blocker recurrence accounting.
Use escalation only when the reviewer and implementer cannot resolve the problem without a human decision or external prerequisite:
kanban_block(
reason="escalation: <decision or prerequisite required>"
)
Explain the blocked decision and the smallest information needed to continue.
Do not edit the implementation while acting as reviewer. Request changes and let the implementer produce the next candidate; then independently verify that candidate in the next review run.
kanban_request_changes; reserve kanban_block for genuine external blockers or human decisions.Before submitting the verdict, confirm:
kanban_show was read for the current task and run.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
1Passwordに保存したパスワードやAPIキーを、コマンド実行や設定テンプレートで使うためのスキル。CLIの導入、認証、秘密情報の取得・受け渡しを案内します。
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Run PyTorch training across GPUs with minimal changes.
日本語の概要は準備中です。原文の説明を表示しています。
Set up Actual Computer (actual.inc) inference in Hermes.
日本語の概要は準備中です。原文の説明を表示しています。
技術が苦手で不満を抱きやすい利用者になりきってアプリを試し、操作の分かりにくさや離脱の原因を発見。実際の改善課題と個人的な不満を分け、修正案をまとめます。
2つのエージェントが別々に加えた変更のGit競合を、双方の差分と意図から中立的に解決。競合箇所ごとの判断理由を記録し、ビルドやテストで統合結果を確認します。