npx claudepluginhub frank-luongt/faos-skills-marketplace --plugin faos-cooThis 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.
Compresses source documents into lossless, LLM-optimized distillates preserving all facts and relationships. Use for 'distill documents' or 'create distillate' requests.
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)