feat: integrate saas-metrics-coach, add finance commands, remove seek-and-analyze-video
- Integrate saas-metrics-coach into cs-financial-analyst agent with SaaS health and unit economics workflows - Add /financial-health and /saas-health slash commands - Add /update-docs repo command for post-creation sync pipeline - Remove seek-and-analyze-video skill (requires paid external API) - Update all documentation (CLAUDE.md, README.md, docs site, marketplace) - Sync Codex CLI (150 skills), Gemini CLI (207 items), fix count consistency - Regenerate 206 MkDocs pages, fix docs/index.md meta 170→171, getting-started.md finance bundle 1→2 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@@ -18,9 +18,14 @@ Financial analyst covering valuation, ratio analysis, forecasting, and industry-
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## Skill Integration
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- `finance/financial-analyst` — DCF modeling, ratio analysis, forecasting, scenario planning
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- Scripts: `dcf_valuation.py`, `ratio_calculator.py`, `forecast_builder.py`, `budget_variance_analyzer.py`
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- References: `financial-ratios-guide.md`, `valuation-methodology.md`, `forecasting-best-practices.md`, `industry-adaptations.md`
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### finance/financial-analyst — Traditional Financial Analysis
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- Scripts: `dcf_valuation.py`, `ratio_calculator.py`, `forecast_builder.py`, `budget_variance_analyzer.py`
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- References: `financial-ratios-guide.md`, `valuation-methodology.md`, `forecasting-best-practices.md`, `industry-adaptations.md`
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### finance/saas-metrics-coach — SaaS Financial Health
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- Scripts: `metrics_calculator.py`, `quick_ratio_calculator.py`, `unit_economics_simulator.py`
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- References: `formulas.md`, `benchmarks.md`
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- Assets: `input-template.md`
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## Core Workflows
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@@ -52,6 +57,20 @@ Financial analyst covering valuation, ratio analysis, forecasting, and industry-
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4. Build monthly cash flow projection
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5. Define variance thresholds and review cadence
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### 5. SaaS Health Check
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1. Collect MRR, customer count, churn, CAC data from user
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2. Run `metrics_calculator.py` to compute ARR, LTV, LTV:CAC, NRR, payback
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3. Run `quick_ratio_calculator.py` if expansion/churn MRR available
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4. Benchmark each metric against stage/segment via `benchmarks.md`
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5. Flag CRITICAL/WATCH metrics and recommend top 3 actions
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### 6. SaaS Unit Economics Projection
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1. Take current MRR, growth rate, churn rate, CAC from user
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2. Run `unit_economics_simulator.py` to project 12 months forward
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3. Assess runway, profitability timeline, and growth trajectory
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4. Cross-reference with `forecast_builder.py` for scenario modeling
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5. Present monthly projections with summary and risk flags
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## Output Standards
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- Valuations → range with methodology stated (DCF, comparables, precedent)
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- Ratios → benchmarked against industry with trend arrows
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@@ -65,6 +84,29 @@ Financial analyst covering valuation, ratio analysis, forecasting, and industry-
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- **Budget Variance:** Departmental budgets maintained within 10% of plan
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- **Analysis Turnaround:** Financial models delivered within 48 hours of data receipt
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## Integration Examples
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```bash
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# SaaS health check — full metrics from raw numbers
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python ../../finance/saas-metrics-coach/scripts/metrics_calculator.py \
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--mrr 80000 --mrr-last 75000 --customers 200 --churned 3 \
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--new-customers 15 --sm-spend 25000 --gross-margin 72 --json
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# Quick ratio — growth efficiency
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python ../../finance/saas-metrics-coach/scripts/quick_ratio_calculator.py \
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--new-mrr 10000 --expansion 2000 --churned 3000 --contraction 500
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# 12-month projection
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python ../../finance/saas-metrics-coach/scripts/unit_economics_simulator.py \
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--mrr 80000 --growth 8 --churn 1.5 --cac 1667 --json
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# Traditional ratio analysis
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python ../../finance/financial-analyst/scripts/ratio_calculator.py financial_data.json --format json
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# DCF valuation
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python ../../finance/financial-analyst/scripts/dcf_valuation.py valuation_data.json --format json
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```
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## Related Agents
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- [cs-ceo-advisor](../c-level/cs-ceo-advisor.md) -- Strategic financial decisions, board reporting, and fundraising planning
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