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validate-implementation-plan

Audits an implementation plan for requirements traceability, avoidable complexity, risky assumptions, and evidence gaps. Use when reviewing an AI-generated or human-authored plan, design proposal, implementation outline, task breakdown, or architecture plan and the user wants a standalone audit report without overwriting the source plan.

⚡ おすすめ: コマンド1行でインストール(60秒)

下記のコマンドをコピーしてターミナル(Mac/Linux)または PowerShell(Windows)に貼り付けてください。 ダウンロード → 解凍 → 配置まで全自動。

🍎 Mac / 🐧 Linux
mkdir -p ~/.claude/skills && cd ~/.claude/skills && curl -L -o validate-implementation-plan.zip https://jpskill.com/download/23437.zip && unzip -o validate-implementation-plan.zip && rm validate-implementation-plan.zip
🪟 Windows (PowerShell)
$d = "$env:USERPROFILE\.claude\skills"; ni -Force -ItemType Directory $d | Out-Null; iwr https://jpskill.com/download/23437.zip -OutFile "$d\validate-implementation-plan.zip"; Expand-Archive "$d\validate-implementation-plan.zip" -DestinationPath $d -Force; ri "$d\validate-implementation-plan.zip"

完了後、Claude Code を再起動 → 普通に「動画プロンプト作って」のように話しかけるだけで自動発動します。

💾 手動でダウンロードしたい(コマンドが難しい人向け)
  1. 1. 下の青いボタンを押して validate-implementation-plan.zip をダウンロード
  2. 2. ZIPファイルをダブルクリックで解凍 → validate-implementation-plan フォルダができる
  3. 3. そのフォルダを C:\Users\あなたの名前\.claude\skills\(Win)または ~/.claude/skills/(Mac)へ移動
  4. 4. Claude Code を再起動

⚠️ ダウンロード・利用は自己責任でお願いします。当サイトは内容・動作・安全性について責任を負いません。

🎯 このSkillでできること

下記の説明文を読むと、このSkillがあなたに何をしてくれるかが分かります。Claudeにこの分野の依頼をすると、自動で発動します。

📦 インストール方法 (3ステップ)

  1. 1. 上の「ダウンロード」ボタンを押して .skill ファイルを取得
  2. 2. ファイル名の拡張子を .skill から .zip に変えて展開(macは自動展開可)
  3. 3. 展開してできたフォルダを、ホームフォルダの .claude/skills/ に置く
    • · macOS / Linux: ~/.claude/skills/
    • · Windows: %USERPROFILE%\.claude\skills\

Claude Code を再起動すれば完了。「このSkillを使って…」と話しかけなくても、関連する依頼で自動的に呼び出されます。

詳しい使い方ガイドを見る →
最終更新
2026-05-18
取得日時
2026-05-18
同梱ファイル
5
📖 Claude が読む原文 SKILL.md(中身を展開)

この本文は AI(Claude)が読むための原文(英語または中国語)です。日本語訳は順次追加中。

Validate Implementation Plan

You are an audit orchestrator. You coordinate a safe plan review by loading only the local guidance needed for the current phase, dispatching focused subagents, asking the user only for decision-relevant assumptions, and returning a compact handoff. Raw plan text stays inside the snapshotter boundary; downstream stages work from a sanitized snapshot and structured summaries.

Inputs

Input Required Example
PLAN_PATH Yes docs/cache-refactor-plan.md
ORIGIN_CONTEXT Yes Add an MVP cache invalidation workflow with no new infrastructure.
OUTPUT_PATH No docs/cache-refactor-plan.audit.md
SOURCE_CONTEXT_PATHS No docs/ticket.md,docs/requirements.md

If omitted, OUTPUT_PATH is the sibling file with .audit.md appended to the base name, and SNAPSHOT_PATH is the sibling file with .audit-input.md appended to the base name.

SOURCE_CONTEXT_PATHS is an explicit allow-list of local files that may contain the original request, ticket text, design notes, or approved technical evidence. If ORIGIN_CONTEXT is not explicit in the user's current request, ask one concise question for the baseline before dispatching auditors. Do not derive the baseline from the implementation plan itself.

Progressive Disclosure Map

Need Load
Trust boundary before first dispatch ./references/trust-boundary.md
Shared status codes, retry loop, annotation schema, report contract ./references/audit-protocol.md
Optional method background and external website links ./references/external-sources.md
Full report layout example ./references/report-example.md (annotator only, on demand)
Specialist execution details The specific registry file under ./subagents/ immediately before dispatch

External URLs are optional just-in-time source material. The skill works offline; fetch a website only when the active subagent needs method rationale beyond its local rule or the user asks for source-backed explanation.

Subagent Registry

Subagent Path Purpose
plan-snapshotter ./subagents/plan-snapshotter.md Writes a redacted snapshot from PLAN_PATH
requirements-extractor ./subagents/requirements-extractor.md Returns numbered source requirements and baseline notes
technical-researcher ./subagents/technical-researcher.md Compares technical claims with approved local evidence
requirements-auditor ./subagents/requirements-auditor.md Checks plan sections against numbered requirements
yagni-auditor ./subagents/yagni-auditor.md Flags speculative scope and avoidable complexity
assumptions-auditor ./subagents/assumptions-auditor.md Identifies weak or unresolved assumptions
plan-annotator ./subagents/plan-annotator.md Writes the standalone audit report at OUTPUT_PATH

Read a subagent file only when dispatching that subagent. The orchestrator keeps paths, verdicts, counts, numbered requirements, annotation arrays, open questions, and summarized user answers in context.

Workflow Overview

PLAN_PATH
  -> plan-snapshotter -> SNAPSHOT_PATH
  -> requirements-extractor -> requirements_list, baseline_notes
  -> technical-researcher (optional) -> evidence_findings
  -> requirements-auditor + yagni-auditor + assumptions-auditor
  -> user clarification when needed
  -> plan-annotator -> OUTPUT_PATH

Execution Steps

  1. Load ./references/trust-boundary.md, derive SNAPSHOT_PATH and OUTPUT_PATH, and keep PLAN_PATH out of orchestrator context.
  2. Load and dispatch plan-snapshotter with PLAN_PATH and SNAPSHOT_PATH. Stop on BLOCKED, FAIL, or ERROR.
  3. Load and dispatch requirements-extractor with SNAPSHOT_PATH, ORIGIN_CONTEXT, and SOURCE_CONTEXT_PATHS. Stop if no credible baseline can be extracted.
  4. Dispatch technical-researcher only when SOURCE_CONTEXT_PATHS includes explicit local technical evidence beyond the original request. Otherwise use evidence_findings=[].
  5. Dispatch requirements-auditor, yagni-auditor, and assumptions-auditor with the snapshot path, numbered requirements, baseline notes, and evidence findings. These passes are independent after requirement extraction.
  6. If unresolved assumptions return, ask the user the proposed questions, summarize and redact answers, then re-dispatch assumptions-auditor for the resolution pass.
  7. Load ./references/audit-protocol.md, then dispatch plan-annotator with all structured findings and answer summaries. The annotator may load ./references/report-example.md if it needs the concrete report layout.
  8. Reply with the output path, section count, finding counts, and open-question count. Leave the full report on disk unless the user asks to see it.

Validation

Snapshot creation and requirement extraction are hard gates. For malformed subagent output, use the retry loop in ./references/audit-protocol.md: fix only the failed branch, re-run only that branch, and stop after three fix cycles.

Completion Handoff

AUDIT: PASS | BLOCKED | FAIL | ERROR
Output: <OUTPUT_PATH or "not written">
Sections covered: <N or "unknown">
Findings: critical=<N>, warning=<N>, info=<N>
Open questions: <N>
Reason: <one line>

Example

<example> Input: PLAN_PATH=docs/cache-plan.md, ORIGIN_CONTEXT=Add an MVP cache layer, SOURCE_CONTEXT_PATHS=docs/JNS-6065.md

The orchestrator loads the trust boundary, dispatches plan-snapshotter, gets a sanitized snapshot, extracts six numbered requirements, runs the three audit passes, asks one clarification question about tracing infrastructure, then dispatches plan-annotator.

Result:

AUDIT: PASS
Output: docs/cache-plan.audit.md
Sections covered: 5
Findings: critical=1, warning=3, info=7
Open questions: 0
Reason: Standalone audit report written from sanitized snapshot; source plan left unchanged.

</example>

同梱ファイル

※ ZIPに含まれるファイル一覧。`SKILL.md` 本体に加え、参考資料・サンプル・スクリプトが入っている場合があります。