close-the-quarter
The Close the Quarter workflow chains four specialized skills to convert quarterly financial data into leadership narratives and board presentations. Use this command when you need to systematize quarter-end reporting by sequentially analyzing metrics, examining churn patterns, drafting executive summaries, and structuring board deck storylines while maintaining context across all analytical stages.
mkdir -p ~/.claude/commands && curl -fsSL https://raw.githubusercontent.com/mohitagw15856/pm-claude-skills/HEAD/commands/close-the-quarter.md -o ~/.claude/commands/close-the-quarter.mdclose-the-quarter.md
Run the **Close the Quarter** workflow recipe for: $ARGUMENTS This is a *chain* of skills. Run each stage in order and **carry every stage's output forward as context** for the next. Open with a one-line plan of the 4 stages, then ask once for any essential missing inputs (the key numbers, the audience, the period). Don't re-ask between stages. Run each stage under a clear `## Stage N — <name>` heading: 1. **Map what moved** — apply the `metrics-framework` skill to organise the numbers into a metric tree and identify what actually changed and why. 2. **Explain retention** — apply the `churn-analysis` skill to separate avoidable from unavoidable churn and surface the headline retention story. 3. **Brief leadership** — apply the `executive-update` skill, using the findings above, to write a tight leadership briefing for the period. 4. **Build the board story** — apply the `board-deck-narrative` skill to turn that briefing into a slide-by-slide board deck storyline. Do not invent numbers — work only with what is given and flag any gaps. End with a 4-bullet **"What you now have"** recap.
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Structure AI and ML product decisions with the rigour of any product decision. Use when building AI-powered features, evaluating LLM integrations, designing AI products, or assessing AI readiness. Produces a complete AI product canvas covering problem definition, model approach, data requirements, evaluation framework, UX design, responsible AI checklist, and launch monitoring plan.
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