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.
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End-to-end vendor procurement workflow orchestrating RFQ creation, email sending, vendor response tracking, and client-facing estimate generation. Use this skill when managing the full quote-request-to-client-estimate pipeline, coordinating between vendor-rfq-creator and vendor-estimate-creator skills with email automation and status tracking.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
This skill orchestrates the complete vendor procurement lifecycle from initial RFQ creation through vendor response tracking to final client-facing estimate generation. It integrates with existing vendor-rfq-creator and vendor-estimate-creator skills while adding email automation, response tracking, and procurement status management capabilities.
Primary language: Japanese (default), English supported Output format: Markdown, JSON, Email templates
pyyaml for configurationvendor-rfq-creator and vendor-estimate-creator skills (recommended)Create a new procurement tracking project with metadata.
python3 scripts/init_procurement.py \
--project-name "ERP System Replacement" \
--client "Acme Corporation" \
--output-dir ./procurement/erp-2024
This creates the procurement project structure:
procurement/erp-2024/
├── procurement.yaml # Project configuration and status
├── rfq/ # RFQ documents (from vendor-rfq-creator)
├── quotes/ # Received vendor quotes
├── estimates/ # Client-facing estimates (from vendor-estimate-creator)
└── communications/ # Email templates and tracking
Use vendor-rfq-creator skill to generate the RFQ document. Save the output to the rfq/ directory.
Reference: See references/procurement_workflow_guide.md for RFQ best practices.
Register vendors to receive the RFQ and track responses.
python3 scripts/manage_vendors.py add \
--project-dir ./procurement/erp-2024 \
--vendor-name "Tech Solutions Inc." \
--contact-email "sales@techsolutions.example.com" \
--contact-name "John Smith"
Bulk import from CSV:
python3 scripts/manage_vendors.py import \
--project-dir ./procurement/erp-2024 \
--csv-file vendors.csv
Generate and optionally send RFQ emails to registered vendors.
python3 scripts/send_rfq.py \
--project-dir ./procurement/erp-2024 \
--rfq-file rfq/rfq_document.md \
--deadline 2024-03-15 \
--mode preview
Modes:
preview: Generate email content for manual sendingsend: Send via SMTP (requires email configuration)Email template customization available via assets/email_templates/.
Log received vendor quotes and update tracking status.
python3 scripts/track_responses.py log \
--project-dir ./procurement/erp-2024 \
--vendor-name "Tech Solutions Inc." \
--quote-file "quotes/tech_solutions_quote.pdf" \
--amount 15000000 \
--currency JPY \
--delivery-date 2024-06-30
View tracking dashboard:
python3 scripts/track_responses.py status \
--project-dir ./procurement/erp-2024
Generate a vendor comparison report.
python3 scripts/compare_quotes.py \
--project-dir ./procurement/erp-2024 \
--output quotes/comparison_report.md
Reference: See references/vendor_evaluation_criteria.md for evaluation framework.
Convert the selected vendor quote(s) into a client-facing estimate using vendor-estimate-creator skill.
Apply markup and consolidation:
python3 scripts/create_client_estimate.py \
--project-dir ./procurement/erp-2024 \
--vendor-quote "quotes/tech_solutions_quote.pdf" \
--markup-percent 15 \
--output estimates/client_estimate.md
Create final procurement summary for stakeholders.
python3 scripts/generate_report.py \
--project-dir ./procurement/erp-2024 \
--output procurement_summary.md
project:
name: "ERP System Replacement"
client: "Acme Corporation"
created: "2024-02-01"
status: "quotes_received" # initialized | rfq_sent | quotes_received | evaluation | completed
rfq:
document: "rfq/rfq_document.md"
sent_date: "2024-02-05"
deadline: "2024-03-15"
vendors:
- name: "Tech Solutions Inc."
email: "sales@techsolutions.example.com"
status: "quote_received" # pending | contacted | quote_received | declined | selected
quote:
file: "quotes/tech_solutions_quote.pdf"
amount: 15000000
currency: "JPY"
received_date: "2024-03-01"
- name: "Digital Systems Corp."
email: "info@digitalsystems.example.com"
status: "contacted"
quote: null
timeline:
- date: "2024-02-01"
event: "Project initialized"
- date: "2024-02-05"
event: "RFQ sent to 3 vendors"
- date: "2024-03-01"
event: "Quote received from Tech Solutions Inc."
# Vendor Comparison Report
## Project: ERP System Replacement
Generated: 2024-03-20
## Summary
| Vendor | Quote Amount | Delivery | Score |
|--------|-------------|----------|-------|
| Tech Solutions Inc. | ¥15,000,000 | 2024-06-30 | 85/100 |
| Digital Systems Corp. | ¥18,500,000 | 2024-07-15 | 78/100 |
## Detailed Evaluation
### Tech Solutions Inc.
- **Price**: 30/30 (Most competitive)
- **Technical Capability**: 25/25 (Strong track record)
- **Delivery Timeline**: 15/20 (Within deadline)
- **Support & Maintenance**: 15/25 (Standard SLA)
[Additional details...]
init_procurement.py -- Initialize procurement project structuremanage_vendors.py -- Add, edit, remove, import vendor contactssend_rfq.py -- Generate and send RFQ emailstrack_responses.py -- Log and track vendor quote responsescompare_quotes.py -- Generate vendor comparison reportcreate_client_estimate.py -- Convert vendor quote to client estimategenerate_report.py -- Create procurement summary reportprocurement_workflow_guide.md -- Complete procurement process guide with best practicesvendor_evaluation_criteria.md -- Evaluation framework and scoring methodologyemail_templates/rfq_email_ja.md -- Japanese RFQ email templateemail_templates/rfq_email_en.md -- English RFQ email templateemail_templates/reminder_email.md -- Quote deadline reminder templateUse before Step 2 to generate comprehensive RFQ documents:
Use in Step 7 to create client-facing estimates:
initialized → rfq_sent → quotes_received → evaluation → completed
↓ ↓
(reminders) (follow-ups)
pending → contacted → quote_received → selected
↓ ↓ ↓
declined withdrawn contracted
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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。
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。
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。
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。
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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.
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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.
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