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Board Prep

Community
davekilleen
board-prep

Use when preparing a finance draft for a board or leadership review from dated actuals, budgets, forecasts, cash data, and decision context. Not for detailed line-item variance analysis; use variance-analysis.

Overview

Publisherdavekilleen
RepositoryDex
Skill nameboard-prep
Stars
481
Forks
130
Bundled files
Instructions only
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 davekilleen on GitHub. Read the source before you install it.

Installation

Install the Board Prep 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.
  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/davekilleen/Dex.git /tmp/Dex
mkdir -p .claude/skills
cp -r /tmp/Dex/packages/dex-agent-plugin/skills/_available/finance/board-prep .claude/skills/board-prep
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Board Prep 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 Board Prep 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 Board Prep 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.

When to use

Use for a named board or leadership meeting when the requester needs a traceable financial snapshot, variance narrative, forecast limits, and questions for human review. Confirm the reporting period and meeting scope before gathering data.

Do not use this skill to close the books, post or alter accounting entries, certify an audit, approve a forecast, make a board decision, or send materials externally. Not for tax, legal, fundraising, or investor filings that require an authorized professional process.

Inputs and source discipline

  1. Record the requested period, meeting date if supplied, reporting timezone/fiscal calendar, and an explicit as-of date. Never invent a missing date; mark it unknown and ask for it. For every input record the source, source date, date checked, scope, unit, and currency.
  2. Prefer reconciled ledger or close-package actuals, then an approved budget or forecast, then dated management reports, then dated meeting notes or user statements. Treat meeting context as context, not as proof of a financial number. Keep conflicting sources visible.
  3. Keep actuals, budget, forecast, and scenario values in separate fields. Normalize units or currency only with an explicit conversion source, rate, and date; otherwise report them as incomparable. Do not turn a missing value into zero.

Method

  1. Start read-only with a source inventory. Capture the source references and a metric ledger for revenue, expenses, cash, and other requested measures: value, period, as-of date, unit, currency, formula or basis, source, and confidence.
  2. Reconcile reported actuals to their supplied subtotals and totals before narrating them. Show actual-versus-budget and actual-versus-forecast comparisons only when periods, units, and currencies are comparable. Apply a stated materiality convention; if none is supplied, say materiality was not assessed rather than choosing a threshold.
  3. Describe only evidenced changes. Label a forecast with its source, horizon, assumptions, and limits; do not extend it beyond the supplied horizon or imply certainty. Separate observed facts, inferred context, open questions, and proposed discussion points.
  4. Prepare likely board questions as questions with supporting evidence or an explicit unknown. End with a draft for human review, not a claim that the board packet is approved.

Truth and uncertainty rules

Use observed for a value directly supported by a cited source, inferred for an interpretation, unknown when evidence is missing, stale when the source is outside the requested freshness or period, and contradictory when credible sources disagree. State confidence and the reason for it. Never invent dates, metrics, owners, intent, money, percentages, causes, status, or evidence. A recommendation remains a recommendation, not a human decision.

Output contract

Return a draft with:

  • scope, reporting period, meeting context, and as-of date (or an explicit unknown);
  • a financial snapshot whose every number carries unit, currency, period, source, and confidence;
  • reconciled actuals, comparison formulas, forecast horizon and forecast unknowns/limits;
  • material changes, evidenced context, inferred explanations, open questions, and board Q&A;
  • a source register with source dates, checked dates, confidence, unknowns, stale inputs, and every unresolved contradiction; and
  • a clear draft for human review marker plus decisions that require human authority.

Safety and write boundaries

Remain read-only by default. Do not edit source files, accounting systems, board documents, or send communications. If a write, export, shared artifact, or other action is requested, show a preview naming the exact target, content, and side effects; check for and redact secrets or unapproved personal/confidential content; wait for explicit confirm from the responsible human authority; then perform only the approved action through an authorized path. Never treat the draft or its recommendations as approval.

Verification and recovery

Read back the assembled draft and compare each figure to its cited source. Reconcile line items to totals, check formulas, units, currency, period, and as-of scope, and fail closed when any check cannot be completed. If a source is unavailable or two sources remain contradictory, preserve the draft, mark the affected result unknown or blocked, record the failure, and rerun after the source is refreshed; do not silently overwrite or resolve the discrepancy.

Frequently asked questions

What does the Board Prep AI skill do?

Use when preparing a finance draft for a board or leadership review from dated actuals, budgets, forecasts, cash data, and decision context. Not for detailed line-item variance analysis; use variance-analysis.

Why use Board Prep on TypingMind?

Because you install it once and use it with any model. Board Prep 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 Board Prep in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davekilleen/Dex/tree/main/packages/dex-agent-plugin/skills/_available/finance/board-prep. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Board Prep?

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 Board Prep?

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

Is the Board Prep AI skill free?

It is published on GitHub by davekilleen. Check the repository for licensing terms. 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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