accountant-expert▌
personamanagmentlayer/pcl · updated May 17, 2026
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Expert guidance for accounting systems, financial reporting, tax compliance, and modern accounting technology.
Accountant Expert
Expert guidance for accounting systems, financial reporting, tax compliance, and modern accounting technology.
Core Concepts
Accounting Principles
- GAAP (Generally Accepted Accounting Principles)
- IFRS (International Financial Reporting Standards)
- Double-entry bookkeeping
- Accrual vs cash accounting
- Financial statement preparation
- Audit and assurance
Financial Statements
- Balance sheet (Statement of Financial Position)
- Income statement (P&L)
- Cash flow statement
- Statement of changes in equity
- Notes to financial statements
Tax & Compliance
- Corporate tax planning
- VAT/Sales tax management
- Payroll tax compliance
- Tax filing and reporting
- Transfer pricing
- International taxation
Double-Entry Bookkeeping
from decimal import Decimal
from datetime import datetime
from enum import Enum
from typing import List
class AccountType(Enum):
ASSET = "asset"
LIABILITY = "liability"
EQUITY = "equity"
REVENUE = "revenue"
EXPENSE = "expense"
class Account:
def __init__(self, code: str, name: str, account_type: AccountType):
self.code = code
self.name = name
self.type = account_type
self.balance = Decimal('0')
self.debit_total = Decimal('0')
self.credit_total = Decimal('0')
def is_debit_normal(self) -> bool:
"""Check if account has normal debit balance"""
return self.type in [AccountType.ASSET, AccountType.EXPENSE]
class JournalEntry:
def __init__(self, date: datetime, description: str):
self.id = self.generate_entry_id()
self.date = date
self.description = description
self.lines = []
self.posted = False
def add_line(self, account: Account, debit: Decimal = None,
credit: Decimal = None):
"""Add line to journal entry"""
if debit and credit:
raise ValueError("Cannot have both debit and credit")
self.lines.append({
"account": account,
"debit": debit or Decimal('0'),
"credit": credit or Decimal('0')
})
def validate(self) -> bool:
"""Validate journal entry (debits must equal credits)"""
total_debits = sum(line["debit"] for line in self.lines)
total_credits = sum(line["credit"] for line in self.lines)
return total_debits == total_credits
def post(self) -> bool:
"""Post journal entry to ledger"""
if not self.validate():
raise ValueError("Entry does not balance")
for line in self.lines:
account = line["account"]
if line["debit"]:
account.debit_total += line["debit"]
if line["credit"]:
account.credit_total += line["credit"]
# Update balance based on account type
if account.is_debit_normal():
account.balance = account.debit_total - account.credit_total
else:
account.balance = account.credit_total - account.debit_total
self.posted = True
return True
Financial Statement Generation
class FinancialStatements:
def __init__(self, company_name: str, period_end: datetime):
self.company_name = company_name
self.period_end = period_end
self.accounts = []
def generate_balance_sheet(self) -> dict:
"""Generate balance sheet"""
assets = self.sum_accounts_by_type(AccountType.ASSET)
liabilities = self.sum_accounts_by_type(AccountType.LIABILITY)
equity = self.sum_accounts_by_type(AccountType.EQUITY)
# Calculate retained earnings
revenue = self.sum_accounts_by_type(AccountType.REVENUE)
expenses = self.sum_accounts_by_type(AccountType.EXPENSE)
net_income = revenue - expenses
total_equity = equity + net_income
return {
"company": self.company_name,
"period_end": self.period_end,
"assets": {
"current_assets": self.get_current_assets(),
"non_current_assets": self.get_non_current_assets(),
"total": assets
},
"liabilities": {
"current_liabilities": self.get_current_liabilities(),
"non_current_liabilities": self.get_non_current_liabilities(),
"total": liabilities
},
"equity": {
"share_capital": equity,
"retained_earnings": net_income,
"total": total_equity
},
"balanced": assets == (liabilities + total_equity)
}
def generate_income_statement(self, period_start: datetime,
period_end: datetime) -> dict:
"""Generate income statement (P&L)"""
revenue = self.sum_accounts_by_type(AccountType.REVENUE)
expenses How to use accountant-expert on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add accountant-expert
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches accountant-expert from GitHub repository personamanagmentlayer/pcl and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate accountant-expert. Access the skill through slash commands (e.g., /accountant-expert) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★62 reviews- ★★★★★Yuki Okafor· Dec 28, 2024
accountant-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Dhruvi Jain· Dec 24, 2024
accountant-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Sakura Iyer· Dec 24, 2024
Useful defaults in accountant-expert — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ava Garcia· Dec 20, 2024
accountant-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Zaid Kapoor· Dec 20, 2024
Registry listing for accountant-expert matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Yuki Desai· Dec 16, 2024
Solid pick for teams standardizing on skills: accountant-expert is focused, and the summary matches what you get after install.
- ★★★★★Yuki Sharma· Dec 4, 2024
We added accountant-expert from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Yuki Martin· Nov 23, 2024
Keeps context tight: accountant-expert is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Oshnikdeep· Nov 15, 2024
Solid pick for teams standardizing on skills: accountant-expert is focused, and the summary matches what you get after install.
- ★★★★★Sakura Shah· Nov 11, 2024
Registry listing for accountant-expert matched our evaluation — installs cleanly and behaves as described in the markdown.
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