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.
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。
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
$d = "$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. 下の青いボタンを押して
validate-implementation-plan.zipをダウンロード - 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. 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. 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. 上の「ダウンロード」ボタンを押して .skill ファイルを取得
- 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. 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\
- · macOS / Linux:
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
- Load
./references/trust-boundary.md, deriveSNAPSHOT_PATHandOUTPUT_PATH, and keepPLAN_PATHout of orchestrator context. - Load and dispatch
plan-snapshotterwithPLAN_PATHandSNAPSHOT_PATH. Stop onBLOCKED,FAIL, orERROR. - Load and dispatch
requirements-extractorwithSNAPSHOT_PATH,ORIGIN_CONTEXT, andSOURCE_CONTEXT_PATHS. Stop if no credible baseline can be extracted. - Dispatch
technical-researcheronly whenSOURCE_CONTEXT_PATHSincludes explicit local technical evidence beyond the original request. Otherwise useevidence_findings=[]. - Dispatch
requirements-auditor,yagni-auditor, andassumptions-auditorwith the snapshot path, numbered requirements, baseline notes, and evidence findings. These passes are independent after requirement extraction. - If unresolved assumptions return, ask the user the proposed questions,
summarize and redact answers, then re-dispatch
assumptions-auditorfor the resolution pass. - Load
./references/audit-protocol.md, then dispatchplan-annotatorwith all structured findings and answer summaries. The annotator may load./references/report-example.mdif it needs the concrete report layout. - 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。
- 📄 SKILL.md (6,463 bytes)
- 📎 references/audit-protocol.md (2,558 bytes)
- 📎 references/external-sources.md (2,913 bytes)
- 📎 references/report-example.md (3,072 bytes)
- 📎 references/trust-boundary.md (1,827 bytes)