Claude Skill

budgeting-and-forecasting

Runs the planning cycle — annual budget, rolling forecast, consolidation of business unit inputs, and the variance analysis that explains actuals against plan. Use this to build or challenge a budget, run a forecast cycle, consolidate departmental submissions, explain why results

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Download cbrock84-headcount-plugins_finance_skills_budgeting-and-forecasting-98d1c17.zip · 2 KB
Part of cbrock84/headcount — 160 skills

Install

skills CLI npx skills add https://github.com/cbrock84/headcount/tree/main/plugins/finance/skills/budgeting-and-forecasting
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install cbrock84-headcount@llmmart
Git git clone https://github.com/cbrock84/headcount.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole cbrock84/headcount collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Budgeting and forecasting

The budget is a commitment, the forecast is a belief

Keep them separate. A budget re-cut every month is not a commitment; a forecast held to the original budget is not a belief. Both failures make the numbers useless for different reasons.

Running the cycle

  1. Set the frame first — targets, headcount envelope, and the assumptions everyone builds on (pricing, attrition, timing). Distributed teams building on different assumptions produces a consolidation that cannot be reconciled.
  2. Collect in a fixed template. Free-form submissions cost more to normalize than to build.
  3. Challenge the inputs, specifically: what is the volume driver, what is this per unit, what happens if it comes in at half. Budget submissions are negotiating positions and should be treated as such without hostility.
  4. Consolidate and find the gap between bottom-up and top-down. There always is one. Close it explicitly by cutting something named, not by proportional trimming — proportional cuts damage the highest-return line as much as the lowest.
  5. Publish what was not funded and why. This prevents the same request arriving three times.

Rolling forecast

Re-forecast on a fixed cadence over a constant horizon. Update only what has changed and say what changed and why. A re-forecast with no narrative is a new set of numbers with no information in it.

Variance analysis

Variance is only useful decomposed. For each material variance, separate:

  • Volume — did we do more or less of it?
  • Rate — did each unit cost or earn a different amount?
  • Timing — did it move between periods, or is it gone?
  • Mix — did the composition shift?

Timing variances need no action and are constantly mistaken for performance. Rate variances on recurring costs compound and are constantly under-reacted to.

Explain the top few by value, not every line. A variance report covering everything gets read as nothing.

Sources

references/sources.md in this skill lists the outside authorities that settle the questions here — what each one is authoritative for, and what you may do with it. Check them before answering on anything they cover, and cite what you used. Most are free to read and not free to reproduce; the use note on each is binding.

Tooling

Planning: Anaplan, Pigment, Workday Adaptive Planning, Vena, Cube, and similar. A well-built spreadsheet on a clean chart of accounts beats a planning tool nobody has been staffed to maintain; move when budget owners outnumber the people who can hold the model in their head.

Driver data comes from the ledger, the CRM, and the HRIS. The planning tool is only ever as current as those connections.

Never

  • Present a forecast without saying what changed since the last one.
  • Let a department own an assumption that drives another department's numbers.
  • Report accuracy without measuring it. Track forecast error over time — it improves quickly once visible and never improves while unmeasured.
Files (headcount)
  • references
    • sources.md 937 B
      # Sources — `finance:budgeting-and-forecasting`
      
      <!-- Generated by scripts/build-sources.py from sources/*.toml. Do not edit. -->
      
      Check these before answering on anything they cover, and cite what you used. The use note on each one is binding: most of what a professional cites is free to read and not free to reproduce.
      
      ## FRED — Federal Reserve Economic Data
      
      Federal Reserve Bank of St. Louis · US · open data — check the terms before redistributing
      
      <https://fred.stlouisfed.org/>
      
      Machine-readable: <https://fred.stlouisfed.org/docs/api/fred/>
      
      **Authoritative for:** Reference rates, inflation series and macro indicators with a documented API — the honest input for a discount rate or an escalation assumption, in place of a remembered number.
      
      ---
      
      Sources are maintained in `sources/` upstream, not here. If one is wrong, out of date, or missing, fix it there — this file is regenerated and an edit to it is lost.
      
  • SKILL.md 3.4 KB
    ---
    name: budgeting-and-forecasting
    description: Runs the planning cycle — annual budget, rolling forecast, consolidation of business unit inputs, and the variance analysis that explains actuals against plan. Use this to build or challenge a budget, run a forecast cycle, consolidate departmental submissions, explain why results diverged from plan, or improve forecast accuracy.
    ---
    
    # Budgeting and forecasting
    
    ## The budget is a commitment, the forecast is a belief
    
    Keep them separate. A budget re-cut every month is not a commitment; a forecast held to the original
    budget is not a belief. Both failures make the numbers useless for different reasons.
    
    ## Running the cycle
    
    1. **Set the frame first** — targets, headcount envelope, and the assumptions everyone builds on
       (pricing, attrition, timing). Distributed teams building on different assumptions produces a
       consolidation that cannot be reconciled.
    2. **Collect in a fixed template.** Free-form submissions cost more to normalize than to build.
    3. **Challenge the inputs**, specifically: what is the volume driver, what is this per unit, what
       happens if it comes in at half. Budget submissions are negotiating positions and should be
       treated as such without hostility.
    4. **Consolidate and find the gap** between bottom-up and top-down. There always is one. Close it
       explicitly by cutting something named, not by proportional trimming — proportional cuts damage
       the highest-return line as much as the lowest.
    5. **Publish what was not funded** and why. This prevents the same request arriving three times.
    
    ## Rolling forecast
    
    Re-forecast on a fixed cadence over a constant horizon. Update only what has changed and say what
    changed and why. A re-forecast with no narrative is a new set of numbers with no information in it.
    
    ## Variance analysis
    
    Variance is only useful decomposed. For each material variance, separate:
    
    - **Volume** — did we do more or less of it?
    - **Rate** — did each unit cost or earn a different amount?
    - **Timing** — did it move between periods, or is it gone?
    - **Mix** — did the composition shift?
    
    Timing variances need no action and are constantly mistaken for performance. Rate variances on
    recurring costs compound and are constantly under-reacted to.
    
    Explain the top few by value, not every line. A variance report covering everything gets read as
    nothing.
    
    ## Sources
    
    `references/sources.md` in this skill lists the outside authorities that settle the questions
    here — what each one is authoritative for, and what you may do with it. Check them before
    answering on anything they cover, and cite what you used. Most are free to read and not free
    to reproduce; the use note on each is binding.
    
    ## Tooling
    
    Planning: Anaplan, Pigment, Workday Adaptive Planning, Vena, Cube, and similar. A
    well-built spreadsheet on a clean chart of accounts beats a planning tool nobody has been
    staffed to maintain; move when budget owners outnumber the people who can hold the model
    in their head.
    
    Driver data comes from the ledger, the CRM, and the HRIS. The planning tool is only ever
    as current as those connections.
    
    ## Never
    
    - Present a forecast without saying what changed since the last one.
    - Let a department own an assumption that drives another department's numbers.
    - Report accuracy without measuring it. Track forecast error over time — it improves quickly once
      visible and never improves while unmeasured.
    

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