npx claudepluginhub frank-luongt/faos-skills-marketplace --plugin faos-croThis skill uses the workspace's default tool permissions.
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Migrates code, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to Opus 4.5, updating model strings on Anthropic, AWS, GCP, Azure platforms.
Analyzes BMad project state from catalog CSV, configs, artifacts, and query to recommend next skills or answer questions. Useful for help requests, 'what next', or starting BMad.
End-to-end RevOps framework for pipeline analytics, revenue forecasting, quota management, and cross-functional alignment between Sales, Marketing, and Customer Success.
pricing-strategy)startup-metrics-framework)ab-test-analysis)Master reference for revenue metrics — know these before building any dashboard:
| Metric | Formula | Benchmark (SaaS) |
|---|---|---|
| ARR | MRR x 12 | Growth target: 2-3x <$10M, 1.5-2x >$10M |
| MRR | Sum of all monthly recurring revenue | Track net new, expansion, contraction, churn |
| Net Revenue Retention (NRR) | (Starting MRR + Expansion - Contraction - Churn) / Starting MRR | >120% = elite, >100% = healthy |
| Gross Revenue Retention (GRR) | (Starting MRR - Contraction - Churn) / Starting MRR | >90% = healthy, <85% = problem |
| Metric | Formula | Benchmark |
|---|---|---|
| Magic Number | Net New ARR (QoQ) / S&M Spend (prev Q) | >0.75 = efficient, invest more |
| CAC Payback | CAC / (ARR per customer x Gross Margin) | <18 months = healthy |
| LTV:CAC | Customer LTV / CAC | >3:1 = healthy, >5:1 = underinvesting |
| Sales Efficiency | Net New ARR / Total Sales Cost | >1.0 = self-funding |
| Metric | Formula | Benchmark |
|---|---|---|
| Pipeline Coverage | Total Pipeline Value / Revenue Target | 3-4x = healthy |
| Win Rate | Closed Won / (Closed Won + Closed Lost) | 20-30% = typical B2B SaaS |
| Average Deal Size | Total Revenue / Number of Deals | Track trend, not absolute |
| Sales Cycle Length | Avg days from opportunity created to closed won | Varies by segment (SMB: 30d, Mid: 60d, Enterprise: 90-180d) |
Run this assessment monthly or quarterly:
| Dimension | Metric | Target | Actual | Status |
|---|---|---|---|---|
| Coverage | Pipeline / Target | 3-4x | ||
| Quality | Win rate (trailing 2Q) | >25% | ||
| Velocity | Avg cycle length vs. benchmark | Within 20% | ||
| Balance | Stage distribution (no stage >40%) | Even spread | ||
| Freshness | % pipeline <90 days old | >60% | ||
| Source Mix | No single source >50% | Diversified |
Interpretation:
Best for: Mid-market and enterprise with defined sales stages.
| Stage | Probability | Pipeline Value | Weighted Value |
|---|---|---|---|
| Discovery | 10% | ||
| Qualification | 20% | ||
| Demo/Evaluation | 40% | ||
| Proposal | 60% | ||
| Negotiation | 80% | ||
| Verbal Commit | 90% | ||
| Total Weighted | $ |
Best for: Quarterly forecasting with sales team input.
| Category | Definition | Example |
|---|---|---|
| Commit | Rep stakes their quota on it closing this quarter | Signed MSA, verbal PO |
| Best Case | High confidence but with known risk | Champion engaged, budget approved, timeline unclear |
| Upside | Could close but significant unknowns | Early stage, multi-threaded but no champion |
Forecast = Commit + (Best Case x 0.7) + (Upside x 0.3)
Best for: Mature businesses with 4+ quarters of data.
Stage-by-stage diagnostic to find bottlenecks:
## Funnel Conversion Report — [Quarter]
| Stage Transition | Volume | Conversion Rate | Benchmark | Delta | Action |
|-----------------|--------|-----------------|-----------|-------|--------|
| Lead → MQL | | % | 30-40% | | |
| MQL → SQL | | % | 40-60% | | |
| SQL → Opportunity | | % | 50-70% | | |
| Opportunity → Demo | | % | 60-80% | | |
| Demo → Proposal | | % | 40-60% | | |
| Proposal → Closed Won | | % | 20-40% | | |
| **End-to-end** | | **%** | **2-5%** | | |
### Bottleneck Analysis
- **Biggest drop-off:** [Stage] at [X]% vs. [Y]% benchmark
- **Root cause hypothesis:** [...]
- **Recommended intervention:** [...]
| Rep / Team | Quota | Closed | Attainment | Pipeline | Coverage | Forecast |
|---|---|---|---|---|---|---|
| $ | $ | % | $ | Xx | $ | |
| Team Total | $ | $ | % | $ | Xx | $ |
Ramp-Adjusted Quotas:
| Handoff Point | SLA | Metric | Owner |
|---|---|---|---|
| Marketing → SDR (MQL) | Respond within 5 min | Lead response time | Marketing Ops |
| SDR → AE (SQL) | Complete BANT qualification | MQL-to-SQL conversion | SDR Manager |
| AE → CS (Closed Won) | Handoff call within 5 days | Time-to-onboard | AE + CS |
| CS → AE (Expansion) | Flag expansion signal | Expansion pipeline | CS Manager |
# RevOps Report — Q[X] [Year]
## Executive Summary
- Revenue: $[X] vs. $[Y] target ([Z]% attainment)
- Pipeline coverage: [X]x (target: 3-4x)
- Key risk: [summary]
## Revenue Performance
[Actual vs. forecast vs. target waterfall]
## Pipeline Health
[Scorecard results]
## Funnel Conversion
[Stage-by-stage analysis with bottleneck callout]
## Forecast — Next Quarter
[Commit + Best Case + Upside breakdown]
## Actions Required
1. [Action] — Owner — Deadline
2. [Action] — Owner — Deadline
startup-metrics-framework (early-stage metrics), pricing-strategy (pricing impact on pipeline)