Evaluate demand-forecast quality honestly - WMAPE, bias and Forecast Value Added against a naive benchmark over a rolling-origin backtest. Use when the user mentions forecast accuracy, MAPE, demand planning performance, tahmin doğruluğu, talep tahmini, or asks whether a forecasting process or tool is worth it. Differentiator - judges the process (value added vs doing nothing), not just the model.
Install
npx skills add davila7/claude-code-templates --skill forecast-accuracy-reviewnpx skills add davila7/claude-code-templates --skill forecast-accuracy-review -a claude-code -gnpx skills add davila7/claude-code-templates --skill forecast-accuracy-review -a codex -ggemini skills install https://github.com/davila7/claude-code-templates.git --path cli-tool/components/skills/operations/forecast-accuracy-reviewgh skill install davila7/claude-code-templates forecast-accuracy-reviewgit clone --depth 1 https://github.com/davila7/claude-code-templates /tmp/davila7__claude-code-templates
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/davila7__claude-code-templates/cli-tool/components/skills/operations/forecast-accuracy-review ~/.claude/skills/forecast-accuracy-review # Claude Code
cp -R /tmp/davila7__claude-code-templates/cli-tool/components/skills/operations/forecast-accuracy-review ~/.agents/skills/forecast-accuracy-review # Codex, Cursor, Gemini CLI, Copilot, OpenCode