accounts-payable-workflow
Эксперт AP workflow. Используй для процессов кредиторской задолженности, invoice processing, three-way matching и payment automation.
Best use case
accounts-payable-workflow is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Эксперт AP workflow. Используй для процессов кредиторской задолженности, invoice processing, three-way matching и payment automation.
Teams using accounts-payable-workflow should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/accounts-payable-workflow/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How accounts-payable-workflow Compares
| Feature / Agent | accounts-payable-workflow | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Эксперт AP workflow. Используй для процессов кредиторской задолженности, invoice processing, three-way matching и payment automation.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Accounts Payable Workflow Expert
Эксперт по рабочим процессам кредиторской задолженности.
## Основные принципы
### Трехстороннее сопоставление
- **Заказ на покупку (PO)**: Авторизация на покупку
- **Получение товара**: Доказательство поставки
- **Счет поставщика**: Запрос на оплату
- Все три документа должны совпадать перед утверждением
### Разделение обязанностей
- Ввод и утверждение счетов — разные люди
- Авторизация платежей отдельно от исполнения
- Изменения поставщика требуют двойного утверждения
## Автоматизированный рабочий процесс
```python
class APWorkflowEngine:
def __init__(self):
self.tolerance_price = 0.05 # 5%
self.tolerance_qty = 0.02 # 2%
def process_invoice(self, invoice):
# 1. Захват данных и валидация
extracted_data = self.ocr_extract(invoice)
validation = self.validate_invoice_data(extracted_data)
if not validation.is_valid:
return self.route_to_exception_queue(invoice)
# 2. Трехстороннее сопоставление
matching = self.perform_three_way_match(extracted_data)
if matching.has_exceptions:
if matching.within_tolerance(self.tolerance_price, self.tolerance_qty):
return self.route_for_payment(extracted_data)
else:
return self.route_for_approval(extracted_data, matching)
# 3. Маршрутизация по матрице утверждений
return self.route_based_on_amount(extracted_data)
```
## Матрица утверждений
```yaml
approval_matrix:
department_managers:
amount_limit: 10000
auto_approve_tolerance: 0.02
finance_director:
amount_limit: 50000
requires_backup_documentation: true
cfo_approval:
amount_limit: 250000
requires_board_notification: true
```
## Обнаружение дубликатов
```python
def detect_duplicates(new_invoice):
# Точные совпадения
exact = db.query(
"SELECT * FROM invoices WHERE vendor_id = ? AND invoice_number = ?",
new_invoice.vendor_id, new_invoice.invoice_number
)
# Нечеткое сопоставление
potential = db.query(
"""SELECT * FROM invoices
WHERE vendor_id = ?
AND invoice_date BETWEEN ? AND ?
AND ABS(amount - ?) < ?""",
new_invoice.vendor_id,
new_invoice.invoice_date - timedelta(days=30),
new_invoice.invoice_date + timedelta(days=30),
new_invoice.amount,
new_invoice.amount * 0.05
)
return {'exact': exact, 'potential': potential}
```
## Оптимизация платежей
```python
class PaymentScheduler:
def optimize_payment_schedule(self, approved_invoices):
for invoice in approved_invoices:
# Скидка за досрочную оплату
discount_deadline = invoice.due_date - timedelta(days=invoice.early_pay_days)
discount_value = invoice.amount * (invoice.early_pay_rate / 100)
if discount_deadline >= date.today() and discount_value > 100:
payment_date = discount_deadline
payment_amount = invoice.amount - discount_value
else:
payment_date = invoice.due_date - timedelta(days=2)
payment_amount = invoice.amount
yield {
'invoice_id': invoice.id,
'payment_date': payment_date,
'payment_amount': payment_amount,
'discount_captured': discount_value
}
```
## KPI мониторинг
```python
def generate_ap_metrics(start_date, end_date):
return {
'processing_efficiency': {
'average_processing_time': calc_avg_time(start_date, end_date),
'straight_through_rate': calc_stp_rate(start_date, end_date),
'exception_rate': calc_exception_rate(start_date, end_date)
},
'cost_savings': {
'early_payment_discounts': sum_discounts(start_date, end_date),
'duplicates_prevented': count_duplicates(start_date, end_date)
},
'compliance': {
'three_way_match_rate': calc_3way_compliance(start_date, end_date),
'sod_violations': count_sod_violations(start_date, end_date)
}
}
```
## Лучшие практики
- Используйте OCR и ML для автоматизации ввода данных
- Внедрите портал самообслуживания для поставщиков
- Шифруйте банковскую информацию
- Поддерживайте полный аудиторский след
- Тестируйте соответствие SOX регулярноRelated Skills
julien-workflow-advice-codex
Get OpenAI Codex CLI's opinion on code, bugs, or implementation. Use when you want a second AI perspective during coding sessions.
fal-workflow
Generate workflow JSON files for chaining AI models
create-workflow
Create Jazz workflow automation files (WORKFLOW.md). Use this for scheduling Jazz agents to run recurring tasks. For OS-level scripts/commands, use create-system-routine.
airflow-workflows
Apache Airflow DAG design, operators, and scheduling best practices.
ai-annotation-workflow
Эксперт по data annotation. Используй для ML labeling, annotation workflows и quality control.
adaptive-workflows
Self-learning workflow system that tracks what works best for your use cases. Records experiment results, suggests optimizations, creates custom templates, and builds a personal knowledge base. Use to learn from experience and optimize your LLM workflows over time.
workflows-expert
Activate when requests involve workflow execution, CI/CD pipelines, git automation, or multi-step task orchestration. This skill provides workflows-mcp MCP server integration with tag-based workflow discovery, DAG-based execution, and variable syntax expertise. Trigger on phrases like "run workflow", "execute workflow", "orchestrate tasks", "automate CI/CD", or "workflow information".
workflow-orchestration
Design and implement DAG-based workflows with parallel execution, retries, and error handling. Use when building complex multi-step agent workflows.
workflow-integration-git
Git commit workflow with conventional commits, artifact cleanup, and optional push/PR creation
workflow-conductor
Workflow orchestration and automation engine
workflow-automation
Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off. This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation. Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility
workflow-automate
You are a workflow automation expert specializing in creating efficient CI/CD pipelines, GitHub Actions workflows, and automated development processes. Design and implement automation that reduces manual work, improves consistency, and accelerates delivery while maintaining quality and security.