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commands/monitor-retention.md

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+---
+name: monitor-retention
+description: Builds retention dashboards, signal briefs, and recommended save plays per cohort.
+usage: /customer-analytics:monitor-retention --window quarter --grouping "plan,persona" --include-expansion true
+---
+
+# Command: monitor-retention
+
+## Inputs
+- **window** – analysis window (month, quarter, rolling-90d).
+- **grouping** – comma-separated dimensions (plan, persona, region, product, acquisition-channel).
+- **include-expansion** – true/false to show upsell impact alongside churn.
+- **signals** – optional list of metrics to emphasize (usage, support, sentiment, billing).
+- **format** – dashboard | deck | brief.
+
+## Workflow
+1. **Data Refresh** – query billing, product telemetry, support, survey, and pipeline sources.
+2. **Cohort Calculations** – compute retention, churn, expansion, and health indexes per grouping.
+3. **Signal Detection** – surface top risk/improvement cohorts with quantified impact.
+4. **Play Recommendations** – map cohorts to lifecycle or CS save plays with owners.
+5. **Packaging** – produce dashboards/decks plus action trackers for leadership reviews.
+
+## Outputs
+- Retention dashboard with drillable cohorts.
+- Signal brief highlighting risks/opportunities + recommended plays.
+- Action tracker with owners, due dates, and success metrics.
+
+## Agent/Skill Invocations
+- `retention-analyst` – leads analytics + insights.
+- `segmentation-architect` – ensures segment definitions align.
+- `customer-insights-partner` – adds qualitative proof.
+- `retention-dashboard` skill – provides visualization templates.
+- `save-play-library` skill – links insights to remediation programs.
+
+---

commands/segment-customers.md

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+---
+name: segment-customers
+description: Generates customer segmentation models, scoring logic, and activation briefs.
+usage: /customer-analytics:segment-customers --goal "upsell" --inputs usage,firmographic --method hybrid --segments 5
+---
+
+# Command: segment-customers
+
+## Inputs
+- **goal** – business goal (upsell, retention, adoption, marketing efficiency).
+- **inputs** – comma-separated data sources (usage, firmographic, revenue, support, survey).
+- **method** – rules | clustering | hybrid.
+- **segments** – target number of segments/personas to output.
+- **activation** – optional channel focus (sales, cs, marketing, product).
+
+## Workflow
+1. **Data Profiling** – evaluate selected inputs, quality, and coverage.
+2. **Segmentation Design** – run clustering/heuristics, score stability, and interpretability.
+3. **Scoring Logic** – define rules/weights for RevOps/data teams to implement.
+4. **Persona Packaging** – craft segment personas with value props, risks, and KPIs.
+5. **Activation Plan** – map segments to GTM plays, reporting, and refresh cadence.
+
+## Outputs
+- Segmentation matrix (definition, criteria, size, key metrics).
+- Scoring workbook/API spec with weights and thresholds.
+- Activation brief aligning segments to plays/channels.
+
+## Agent/Skill Invocations
+- `segmentation-architect` – leads modeling + documentation.
+- `retention-analyst` – supplies usage/retention signals.
+- `customer-insights-partner` – injects qualitative proof.
+- `segmentation-framework` skill – provides templates + guardrails.
+- `activation-map` skill – links segments to GTM workflows.
+
+---

commands/synthesize-insights.md

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+---
+name: synthesize-insights
+description: Consolidates qualitative + quantitative customer signals into executive-ready briefs.
+usage: /customer-analytics:synthesize-insights --theme "onboarding" --sources "interviews,surveys,community" --audience "product,marketing"
+---
+
+# Command: synthesize-insights
+
+## Inputs
+- **theme** – focus topic (onboarding, adoption, support, expansion, churn).
+- **sources** – comma-separated inputs (interviews, surveys, community, NPS, usage).
+- **audience** – target stakeholders (product, marketing, sales, cs, exec).
+- **urgency** – normal | rush to tailor scope.
+- **format** – deck | memo | digest.
+
+## Workflow
+1. **Signal Collection** – gather requested data + qualitative notes; dedupe/resample as needed.
+2. **Coding & Tagging** – cluster observations into themes, sentiments, and impact level.
+3. **Quantification** – add metrics per theme (occurrence, ARR impacted, retention delta).
+4. **Recommendation Layer** – map insights to actions, owners, and next experiment ideas.
+5. **Packaging & Distribution** – produce deck/memo/digest plus repository updates.
+
+## Outputs
+- Insight brief with themes, quotes, metrics, and action items.
+- Repository updates with tags + links.
+- Follow-up tracker for product/GTM owners.
+
+## Agent/Skill Invocations
+- `customer-insights-partner` – leads research synthesis.
+- `segmentation-architect` – contextualizes insights by segment.
+- `retention-analyst` – quantifies impact on retention metrics.
+- `insight-repository` skill – maintains tagging + historical logs.
+- `activation-map` skill – links insights to GTM actions.
+
+---