accountant-expert

personamanagmentlayer/pcl · updated May 17, 2026

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$npx skills add https://github.com/personamanagmentlayer/pcl --skill accountant-expert
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summary

Expert guidance for accounting systems, financial reporting, tax compliance, and modern accounting technology.

skill.md

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

How to use accountant-expert on Cursor

AI-first code editor with Composer

1

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
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/personamanagmentlayer/pcl --skill accountant-expert

The skills CLI fetches accountant-expert from GitHub repository personamanagmentlayer/pcl and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/accountant-expert

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

GET_STARTED →

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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.562 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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