forecasting
From the author
Use when projecting history forward — sales, demand, units, revenue, signups, traffic — into a defensible number with an error band: method by data shape, rolling-origin backtest, MASE vs the naive baseline. NOT an assumption-driven P&L or runway model (that is `financial-model`), NOT sizing reorder points or safety stock (that is `inventory`).
Install
npx skills add ericrisco/rsc-harness --skill forecasting -a claude-code
Installs to .claude/skills/forecasting/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
Want your agent to suggest skills while you type? See how to use skills from your IDE.
Safety checks on SKILL.md
- Ships scripts we have not reviewedLow
Why 79
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
Similar skills
Closest to this one by what they do and when they are used.
- sales-pipelineericrisco/rsc-harnessUse when an operator runs deals out of a spreadsheet or Notion and wants real stages, win probabilities, deal hygiene, a weekly follow-up sweep, and a defensible roll-up forecast — including the case where the pipeline looks full but nothing closes. NOT statistical or scenario forecast modelling (that is `forecasting`), NOT sourcing prospects (that is `lead-gen`), NOT writing the outbound emails (that is `cold-outreach`), NOT the proposal or quote (that is `proposals`), NOT the post-close kickoff (that is `client-onboarding`).Data★ 255
- budgeting-and-forecastingcbrock84/headcountRuns 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.Planning★ 2.1K
- financial-modelingcbrock84/headcountBuilds and stress-tests financial models for forecasting, scenario planning, and decision support — revenue build, cost structure, driver logic, and the sensitivities that show where a plan breaks. Use this to model a decision's financial consequence, build a forecast or long-range plan, evaluate an investment or hire, or pressure-test someone else's model before relying on it.Finance★ 2.1K
- predictive-analytics-constructiondatadrivenconstruction/DDC_Skills_for_AI_Agents_in_ConstructionForecast project outcomes using historical data: cost overruns, schedule delays, risk probabilities. Machine learning models for construction prediction.Data★ 371
- market-researchericrisco/rsc-harnessUse when a MARKET as a whole needs a defensible picture — TAM/SAM/SOM sized top-down AND bottom-up until the two converge, cut into reachable segments with one named beachhead, demand proven real, and a dated source behind every figure. NOT profiling named rivals and their moves (that is `competitor-watch`), NOT building a list of accounts to sell to (that is `lead-gen`).Science★ 255
- quantitative-analysiscbrock84/headcountAnswers a business question with data without fooling yourself — framing the question so an answer would change something, choosing the right comparison, checking the data before trusting it, recognizing the traps that produce confident wrong answers (aggregation reversals, survivorship, regression to the mean, multiple comparisons), and reporting uncertainty honestly. Use this to run an analysis, review one before acting on it, or work out why two people looking at the same data reached opposite conclusions.Engineering★ 2.1K
Ratings & reviews
—
no reviews
Tried this skill? Rate it to help others. Sign in
Discussion
Join the discussion. Sign in