Client Profitability logo

Client Profitability

Organization
openaccountant
client-profitability

Analyze revenue and costs per client to find your most profitable accounts.

Overview

Publisheropenaccountant
Repositoryskills
Skill nameclient-profitability
Stars
106
Forks
18
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by openaccountant on GitHub. Read the source before you install it.

Installation

Install the Client Profitability AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/openaccountant/skills/tree/main/business/client-profitability
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/openaccountant/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/business/client-profitability .claude/skills/client-profitability
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Client Profitability in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Client Profitability on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Client Profitability is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Client Profitability Analysis

Overview

Break down revenue and direct costs by client to determine which accounts are most and least profitable. Reveals hidden costs in high-maintenance clients and identifies your highest-value relationships.

Wilson Tools Used

  • transaction_search — find all revenue transactions grouped by client/vendor name, and all expenses attributable to specific clients
  • spending_summary — calculate overhead costs to allocate across clients

Workflow

  1. Ask for the analysis period and list of active clients (or detect from transaction data).
  2. Use transaction_search to find all incoming payments, grouped by client name or reference.
  3. Use transaction_search to find all expenses directly tied to each client (contractor costs, materials, software licenses specific to a project).
  4. Use spending_summary to get total overhead (rent, utilities, general subscriptions).
  5. Allocate overhead proportionally by revenue share: Client Overhead = Total Overhead * (Client Revenue / Total Revenue).
  6. Calculate per-client profitability:
CLIENT PROFITABILITY — [Period]
═══════════════════════════════════════════════════════════
Client          Revenue   Direct    Overhead   Profit   Margin
                          Costs     Alloc.
──────────────────────────────────────────────────────────────
Acme Corp       $15,000   $4,500    $3,750    $6,750    45.0%
Beta LLC        $10,000   $7,200    $2,500      $300     3.0%
Gamma Inc        $8,000   $2,000    $2,000    $4,000    50.0%
Delta Co         $7,000   $1,800    $1,750    $3,450    49.3%
──────────────────────────────────────────────────────────────
TOTAL           $40,000  $15,500   $10,000   $14,500    36.3%
═══════════════════════════════════════════════════════════
  1. Rank clients by profit margin, not just revenue.
  2. Flag clients with margins below 20% as candidates for price renegotiation or scope reduction.

Without Wilson

  1. Export bank transactions as CSV for the analysis period.
  2. In a spreadsheet, add a "Client" column. Tag each income and expense row with the client it relates to. Tag overhead expenses as "General."
  3. Create a pivot table: Rows = Client, Values = Sum of Income, Sum of Direct Expenses.
  4. For overhead allocation, calculate each client's revenue share: =ClientRevenue/TotalRevenue.
  5. Client Overhead = =RevenueShare * TotalOverhead.
  6. Client Profit = =ClientRevenue - DirectCosts - AllocatedOverhead.
  7. Client Margin = =ClientProfit/ClientRevenue*100.
  8. Sort by margin descending. If you use time tracking (Toggl, Harvest, Clockify), export hours per client and calculate effective hourly rate: =ClientProfit/HoursWorked.

Important Notes

  • The hardest part is attributing expenses to specific clients. If you cannot tie an expense to a client, it goes into overhead.
  • Time is a hidden cost. A client paying $10,000/month but consuming 80% of your time is less profitable than it appears. Consider tracking hours per client alongside dollars.
  • Overhead allocation by revenue share is simple but imperfect. A client generating 50% of revenue but only 20% of support tickets is being over-allocated overhead.
  • Use this analysis to decide where to invest sales effort, which clients to fire, and where to raise prices.

Frequently asked questions

What does the Client Profitability AI skill do?

Analyze revenue and costs per client to find your most profitable accounts.

Why use Client Profitability on TypingMind?

Because you install it once and use it with any model. Client Profitability is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Client Profitability in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openaccountant/skills/tree/main/business/client-profitability. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Client Profitability?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Client Profitability?

As many as you like. As long as a model supports skills, you can use Client Profitability with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Client Profitability AI skill free?

Yes. It is published on GitHub by openaccountant under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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