跳到正文
cccskills
免费在 GitHub 公开

wbs-review-assistant

Review WBS (Work Breakdown Structure) Excel files against requirements docs, hearing sheets, and prior decisions to identify gaps, inconsistencies, and deviations. Add review comments to Excel cells and generate summary reports.

中文简介正在准备中。当前显示原文说明。

集成工具Excel

实测评分 未实测

查看安装方法

包含的文件(11)

  • SKILL.md6.7 KB
  • references/common_wbs_issues.md11.1 KB
  • references/review_checklist.yaml4.9 KB
  • references/wbs_review_methodology.md7.9 KB
  • scripts/excel_annotator.py8.7 KB
  • scripts/requirements_parser.py10.2 KB
  • scripts/tests/conftest.py818 B
  • scripts/tests/test_excel_annotator.py7.3 KB
  • scripts/tests/test_requirements_parser.py5.6 KB
  • scripts/tests/test_wbs_reviewer.py11.1 KB
  • scripts/wbs_reviewer.py19.7 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

WBS Review Assistant

Overview

Review and annotate Work Breakdown Structure (WBS) Excel files against project requirements, hearing sheets, and prior decisions. Automatically identify gaps, inconsistencies, deviations from agreed principles, and missing tasks. Add review comments directly to Excel cells and generate prioritized summary reports with actionable findings.

When to Use

  • User requests "review this WBS against requirements"
  • User provides WBS Excel file + requirement documents for gap analysis
  • User asks to "check WBS consistency with hearing sheet decisions"
  • User needs to validate WBS completeness before baseline approval
  • User wants to annotate WBS with review comments in Excel
  • Project manager needs prioritized list of WBS issues before kickoff

Prerequisites

  • Python 3.9+
  • No API keys required
  • Dependencies: openpyxl, pandas, pyyaml

Workflow

Step 1: Gather Review Inputs

Collect the following files:

  • WBS Excel file (.xlsx) - the WBS to be reviewed
  • Requirements document (.pdf, .docx, .md) - project requirements or specifications
  • Hearing sheet / meeting notes (optional) - decisions and clarifications from stakeholder meetings
  • Review checklist (optional) - custom review criteria YAML file
# User provides files in conversation or specifies paths
# Claude will read these files to understand context

Step 2: Run WBS Review Analysis

Execute the review script to analyze the WBS against requirements:

python3 scripts/wbs_reviewer.py \
  --wbs path/to/wbs.xlsx \
  --requirements path/to/requirements.md \
  --hearing-sheet path/to/hearing_notes.md \
  --output-dir ./wbs_review_output \
  --checklist references/review_checklist.yaml

Parameters:

  • --wbs - Path to WBS Excel file
  • --requirements - Path to requirements document
  • --hearing-sheet - (Optional) Path to hearing notes
  • --output-dir - Directory for output files
  • --checklist - (Optional) Custom review criteria YAML

Step 3: Review Generated Outputs

The script generates:

  1. Annotated WBS Excel (wbs_annotated_YYYYMMDD_HHMMSS.xlsx)

    • Original WBS with review comments added to cells
    • Color-coded severity (Red=Critical, Orange=Major, Yellow=Minor)
    • Comment threads with finding ID references
  2. Summary Report (wbs_review_summary_YYYYMMDD_HHMMSS.md)

    • Executive summary with issue count by severity
    • Prioritized findings list with recommendations
    • Coverage analysis (requirements mapped to WBS tasks)
    • Missing task candidates
  3. Gap Analysis JSON (wbs_gaps_YYYYMMDD_HHMMSS.json)

    • Machine-readable findings with structured data
    • Traceability matrix (requirements → WBS tasks)
    • Validation results for each checklist criterion

Step 4: Present Findings to User

Provide a concise summary:

  • Total issue count by severity (Critical / Major / Minor)
  • Top 5 prioritized findings
  • Overall WBS readiness assessment
  • Link to annotated Excel and full report

Output Format

Annotated Excel Structure

The annotated WBS Excel contains:

  • Original columns preserved - No modification to WBS structure
  • Cell comments added - Review findings attached to relevant cells
  • Conditional formatting - Color-coded by severity
    • Red fill: Critical issues
    • Orange fill: Major issues
    • Yellow fill: Minor issues
  • New sheet: "Review Summary" - Issue dashboard with filters

Markdown Summary Report

# WBS Review Summary

**Review Date:** YYYY-MM-DD HH:MM:SS
**WBS File:** wbs.xlsx
**Requirements:** requirements.md

## Executive Summary

- **Critical Issues:** N
- **Major Issues:** N
- **Minor Issues:** N
- **Overall Readiness:** [Ready / Needs Revision / Incomplete]

## Top Priority Findings

### [CRITICAL-001] Missing Acceptance Criteria for Phase 2
**Location:** Row 45, Task "User Acceptance Testing"
**Issue:** No acceptance criteria defined despite requirement REQ-012
**Recommendation:** Add explicit UAT pass/fail criteria based on REQ-012

...

## Requirements Coverage Analysis

| Requirement ID | Requirement Name | Mapped Tasks | Status |
|----------------|------------------|--------------|--------|
| REQ-001 | User Authentication | Task 1.2.1, 1.2.3 | ✓ Covered |
| REQ-005 | Data Migration | (none) | ✗ Missing |

## Missing Task Candidates

1. **Data migration validation** (from REQ-005)
2. **Security audit milestone** (from hearing notes 2025-12-10)

JSON Gap Analysis

{
  "schema_version": "1.0",
  "review_timestamp": "2026-03-19T08:00:00Z",
  "wbs_file": "wbs.xlsx",
  "summary": {
    "total_tasks": 120,
    "critical_issues": 3,
    "major_issues": 8,
    "minor_issues": 15,
    "readiness_score": 75
  },
  "findings": [
    {
      "id": "CRITICAL-001",
      "severity": "critical",
      "category": "missing_acceptance_criteria",
      "location": "Row 45, Column E",
      "task_name": "User Acceptance Testing",
      "issue": "No acceptance criteria defined",
      "requirement_ref": "REQ-012",
      "recommendation": "Add explicit UAT pass/fail criteria"
    }
  ],
  "traceability_matrix": [
    {
      "requirement_id": "REQ-001",
      "requirement_name": "User Authentication",
      "mapped_tasks": ["1.2.1", "1.2.3"],
      "coverage_status": "covered"
    }
  ],
  "missing_tasks": [
    {
      "source": "REQ-005",
      "suggested_task": "Data migration validation",
      "priority": "high"
    }
  ]
}

Resources

  • scripts/wbs_reviewer.py -- Main WBS review engine with gap analysis logic
  • scripts/excel_annotator.py -- Excel comment injection and formatting utilities
  • scripts/requirements_parser.py -- Extract requirements from various document formats
  • references/review_checklist.yaml -- Default WBS review criteria and validation rules
  • references/wbs_review_methodology.md -- Review principles and best practices
  • references/common_wbs_issues.md -- Pattern library of frequent WBS problems
  • assets/review_template.xlsx -- Template for "Review Summary" sheet structure

Key Principles

  1. Non-Destructive Review - Never modify original WBS structure; only add comments and formatting
  2. Requirement Traceability - Every requirement must map to at least one WBS task
  3. Evidence-Based Findings - All issues must reference specific requirement IDs or hearing notes
  4. Prioritized Actionability - Findings sorted by severity and impact on project success
  5. Bilingual Support - Handle Japanese and English WBS/requirements seamlessly

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Track and update action item status from natural language updates like 'Seanのメールには返信しておいた' or 'Lu対応予定'. Integrates with daily-comms-ops workflow. Use when managing action items across communication channels.

中文简介正在准备中。当前显示原文说明。

takusaotome/claude-skills-library102026年10月23日 更新

AI活用提案の専門コンサルタントスキル。LLM・AIエージェントの活用事例知識を基に、業界別、部門別、シーン別に最適なAI導入提案を行います。システム化、業務改善、効率化を得意とし、具体的な活用事例、期待効果、導入ステップを含む実践的な提案を提供します。Use when proposing AI/LLM adoption strategies for specific industries, departments, or business scenarios.

中文简介正在准备中。当前显示原文说明。

takusaotome/claude-skills-library102026年10月23日 更新

Generate AI-powered BPO service proposals for Japanese companies in the US market. Use when creating outsourcing proposals with AI service menus, ROI estimation, implementation roadmaps, and bilingual (JA/EN) proposal documents for 在米日系企業向けAI実装.

中文简介正在准备中。当前显示原文说明。

takusaotome/claude-skills-library102026年10月23日 更新

AI(LLM)が生成した日本語テキストの「AI臭」を検出・診断し、人間らしい文章にリライトするスキル。 Use when: 「AIっぽい文章を直して」「人間らしくリライトして」「AI臭を消して」「この文章をもっと自然にして」 「テキストのAI感を減らして」「機械っぽさを取りたい」 "make this sound more human", "remove AI tone", "humanize this text", "detect if this is AI-generated". 6つのAI特有パターン(視覚的マーカー、単調なリズム、マニュアル的構成、非コミット姿勢、抽象語の濫用、 定型メタファー)を正規表現ベースで検出し、0-100のAI臭スコアを算出。3つの人間化技法 (バランスを崩す・客観を崩す・論理を崩す)でリライトを実行する。 Note: 検出スクリプトは日本語テキスト専用。英語テキストの場合はClaude自身がreferences/を参照して分析・リライトする。

中文简介正在准备中。当前显示原文说明。

takusaotome/claude-skills-library102026年10月23日 更新

Generate audit-ready internal control design documents from As-Is business process inventories. Produces control IDs, assertion mappings, procedures, SoD analysis, KPIs, materiality thresholds, and implementation roadmaps. Use when building internal controls for new audit engagements, SOX/J-SOX compliance, or process improvement initiatives.

中文简介正在准备中。当前显示原文说明。

takusaotome/claude-skills-library102026年10月23日 更新

Review audit-related documents (control design documents, bottleneck analyses, requirements definitions, etc.) for quality, scoring them 0-100 with a severity-rated findings list. Use when reviewing audit documents, checking control design quality, or verifying cross-document consistency. Supports documents governed by US GAAP, IFRS, or J-GAAP.

中文简介正在准备中。当前显示原文说明。

takusaotome/claude-skills-library102026年10月23日 更新

查看 takusaotome 的全部技能

报告此技能的问题