RE Market Pulse
Local market strength & outlookMetro-level market health: rents, vacancy, permits, population, alerts.
prompts, skills, commands, add-ins
One catalog for every reusable AI asset used across Mosser apps — ready-to-paste prompts, multi-step skills, slash commands that fire from chat, and add-ins you can pull in from Hugging Face. Click any tile to view, copy, or run.
Multi-step workflows packaged as reusable automations. Each skill defines inputs, execution steps, and output contracts so agents and operators can run them consistently.
Metro-level market health: rents, vacancy, permits, population, alerts.
Cross-market and cross-class yield spreads for sourcing and allocation.
Leading indicators for submarkets before cap rates move.
6–12 month rent projections with confidence bands.
Curated weekly read on RE, macro, and PropTech.
Automated analysis for predictive disposition focus.
Scan units for loss-to-lease vs market comps.
Submarket comps, absorption, macro — readable narrative around an address.
Permits, violations, evictions, complaints, tax links into Brickston.
SF city data joins, property match, geocode.
Single reference note across email, meetings, docs, and trackers.
Comparable sales and listings with market positioning.
Portfolio-level risk scoring and flags.
Scenario stress on rates, vacancy, and cap moves.
Deal intelligence from meetings and email into a pipeline view.
Structured lease terms from PDF or DOCX.
Automated analysis for lease expiry focus.
Automated analysis for collection risk focus.
Automated analysis for noi bridge focus.
Automated analysis for renovation roi focus.
A–F portfolio grades across occupancy, financials, market, risk, and operations.
Hold/sell with exit pricing, performance scoring, risk, and tax angles on selected assets.
6 / 12 / 24‑month value paths with intervals and hold/sell signals.
Violations, fire, eviction, and 311-weighted SF Open Data exposure.
Leases/contracts via vision extraction, risks, and odd clauses.
Resident-facing flows, AR, and work-order patterns.
Pre-read for meetings: comms, tasks, documents.
Quarterly LP-style reporting from portfolio sources.
Automated analysis for communication draft focus.
Automated analysis for compliance check focus.
Morning digest: ops risks, priorities, KPI snapshot for email or inline.
Monthly ops, quarterly investor, or deal memo formats from portfolio data.
Fast IB-style polish pass without full model audit.
Macro traffic-light dashboard with CRE implications.
Maintain CLAUDE.md and project docs across active repos.
Automated analysis for error analysis focus.
Automated analysis for data accuracy focus.
Stuck jobs, slow queries, import health with light self-heal where safe.
Add and wire scripts into the consolidated nightly runner.
Multi-skill compound analyses across the Brickston surface.
FastAPI endpoint conventions for brickston-ai services.
Excel/CSV into Postgres with validation gates.
Property listing scrapers with proxies and resilience.
Public company comps tables and valuation context.
Discounted cash flow build with WACC, scenarios, sensitivities.
PE-style LBO template completion and checks.
Post-print equity research style earnings update.
Full initiation report workflow across model and narrative.
PE-style screen and triage memos.
Sector / peer competitive landscape decks.
Swap fresh numbers through an existing deck.
Model QA: ties, BS balance, formula sanity across sheets.
Investment committee memo structure and checks.
Pre-written instructions you paste into an LLM to get a specific output. Each prompt is a single block of text — no execution, no inputs, just copy and send. Click any prompt to view the full text and copy it.
What it does: Instantly identifies trends, calculates key ratios, and flags anomalies across multiple periods. Prompt: Analyze these financial statements for [Company Name] from [Period]. Calculate and interpret: 1) YoY growth rates for all line items 2) Key ratios (liquidity, leverage, profitability, efficiency) with industry benchmarks 3) Trend analysis over 3-5 years 4) Red flags or unusual items 5) Quality of earnings assessment. Create an Excel file with all calculations and a visual dashboard. Format: Executive summary first, then detailed analysis with charts.
What it does: Builds multi-scenario financial models with sensitivity analysis in minutes. Prompt: Create a 3-statement financial model for [Company] with these scenarios: Base (current growth), Bull (+X% growth), Bear (-Y% growth). Include: 1) Revenue drivers and assumptions table 2) Working capital projections 3) CapEx requirements 4) Debt schedule 5) Sensitivity analysis on key variables. Build this as a working Excel model with all formulas linked. Add Monte Carlo simulation for probability weights.
What it does: Explains budget variances with root cause analysis and actionable recommendations. Prompt: Analyze budget vs actual for [Department/Company] for [Period]. For each variance >5%: 1) Calculate price vs volume impact 2) Identify root causes 3) Assess if temporary or structural 4) Recommend corrective actions 5) Project full-year impact. Create waterfall charts showing variance bridges and heat map for quick identification of problem areas.
What it does: Generates comprehensive KPI dashboards with drill-down capabilities. Prompt: Design a CFO dashboard tracking: Revenue (by segment/geography), Gross Margin trends, EBITDA margin, Cash conversion cycle, DSO/DPO/DIO, Working capital metrics, Debt ratios, Employee productivity metrics. Include: 1) Current vs Prior Period 2) vs Budget 3) vs Forecast 4) Sparklines for trends 5) RAG status indicators. Output as interactive Excel with slicers.
What it does: Creates dynamic 13-week cash flow models with daily granularity. Prompt: Build a 13-week rolling cash flow forecast incorporating: 1) AR aging and collection patterns 2) AP payment terms and schedules 3) Payroll and fixed costs timing 4) CapEx commitments 5) Debt service requirements 6) Seasonal patterns from historical data. Include daily cash position, credit line usage, and early warning triggers. Create stress test scenarios for 20% revenue decline.
What it does: Identifies cash trapped in working capital with specific improvement actions. Prompt: Analyze working capital efficiency for [Company]: 1) Calculate CCC by component and trend 2) Benchmark against industry peers 3) Identify top 10 customers/vendors impacting DSO/DPO 4) Quantify cash release opportunity 5) Create implementation roadmap with quick wins. Model the P&L and cash impact of improving each metric by 5, 10, and 15 days.
What it does: Categorizes costs, identifies savings opportunities, and benchmarks efficiency. Prompt: Perform zero-based cost analysis on P&L data: 1) Categorize all costs (fixed/variable/semi-variable) 2) Calculate cost per unit/transaction/employee 3) Identify outliers and anomalies 4) Benchmark against industry standards 5) Recommend optimization initiatives with ROI calculations. Create Pareto analysis showing 80/20 rule applications and cost driver tree.
What it does: Builds complete DCF models with sensitivity tables and football field valuations. Prompt: Create a comprehensive DCF valuation for [Company]: 1) Project FCF for 5-10 years based on historical performance 2) Calculate WACC using current market data 3) Determine terminal value using both growth and exit multiple methods 4) Run sensitivity analysis on key assumptions 5) Create football field chart comparing DCF, comps, and precedent transactions. Include LBO analysis at various return thresholds.
What it does: Creates executive-ready board decks with compelling narratives and visuals. Prompt: Draft a board presentation covering Q[X] performance: 1) Executive summary with key achievements/challenges 2) Financial performance vs plan with bridge analysis 3) Business unit deep dives 4) Strategic initiative updates with KPIs 5) Risk dashboard 6) Capital allocation decisions 7) Forward outlook and guidance. Use pyramid principle structure, include speaker notes, and create appendix with detailed backup.
What it does: Generates comprehensive investor materials with regulatory compliance. Prompt: Create quarterly investor package including: 1) Earnings release with key metrics 2) MD&A narrative explaining performance 3) Supplemental financial schedules 4) KPI trending analysis 5) Guidance bridge and assumptions 6) FAQ addressing likely investor questions. Ensure SOX compliance, include regulation FD considerations, and create both detailed and summary versions.
What it does: Creates comprehensive due diligence checklists and identifies key risks. Prompt: Develop due diligence framework for [Target Company] acquisition: 1) Financial quality of earnings analysis 2) Working capital normalization 3) EBITDA adjustments identification 4) Customer/supplier concentration analysis 5) Legal/regulatory compliance review 6) Integration cost estimation 7) Synergy quantification 8) Deal model with returns analysis. Flag top 10 risks and create 100-day integration plan.
What it does: Tracks debt covenants and provides early warning of potential breaches. Prompt: Monitor debt covenant compliance for [Company]: 1) Calculate all financial covenants per credit agreement 2) Show historical trending and headroom 3) Project next 4 quarters based on forecast 4) Run stress scenarios for revenue/EBITDA decline 5) Identify remediation actions if breach likely. Create dashboard with traffic light system and automatic email alerts for <20% headroom.
What it does: Compares operational metrics against industry best practices. Prompt: Benchmark [Company] operational efficiency: 1) Gather industry KPIs for peer group 2) Calculate performance gaps by metric 3) Quantify financial impact of reaching median/top quartile 4) Identify specific improvement initiatives 5) Create implementation roadmap with milestones. Include SG&A as % of revenue breakdown, spans and layers analysis, and automation opportunities.
What it does: Creates sophisticated sensitivity models showing impact of multiple variables. Prompt: Build sensitivity analysis for [Business/Project]: 1) Identify top 10 value drivers 2) Create tornado diagram showing impact 3) Run Monte Carlo simulation with probability distributions 4) Calculate value at risk (VaR) metrics 5) Develop hedging strategies for key risks. Include correlation matrix between variables and scenario probability weighting.
What it does: Drafts comprehensive investment memos for acquisition decisions. Prompt: Draft investment committee memo for [Target] acquisition: 1) Executive summary with recommendation 2) Strategic rationale and synergies 3) Financial analysis with returns (IRR, MOIC, payback) 4) Market analysis and competitive positioning 5) Due diligence findings 6) Risk assessment with mitigants 7) Transaction structure and financing 8) Exit strategy options. Include base/upside/downside cases with probability weighting.
What it does: Uses AI to identify expense anomalies and savings opportunities. Prompt: Analyze expense data to identify optimization opportunities: 1) Flag unusual transactions or amounts 2) Identify duplicate payments or vendors 3) Find contract consolidation opportunities 4) Benchmark rates against market 5) Recommend policy changes 6) Calculate potential savings by category. Create vendor rationalization plan and expense policy recommendations with expected ROI.
What it does: Creates sophisticated workforce planning models linked to business drivers. Prompt: Build headcount planning model for [Company]: 1) Link headcount to revenue/operational drivers 2) Calculate fully-loaded costs by role/level 3) Model hiring plan with ramp time 4) Include attrition and backfill assumptions 5) Create org chart visualization 6) Calculate productivity metrics 7) Benchmark spans of control. Include scenario planning for different growth rates and hiring freeze impact analysis.
What it does: Builds comprehensive risk matrices with quantified financial impact. Prompt: Create enterprise risk assessment for [Company]: 1) Identify top 20 risks across categories (financial, operational, strategic, compliance) 2) Score probability and impact 3) Quantify potential financial exposure 4) Map current controls and gaps 5) Recommend mitigation strategies with cost/benefit 6) Create risk appetite framework. Include emerging risks, black swan scenarios, and board-ready heat map.
What it does: Writes executive-quality financial commentary explaining performance. Prompt: Write financial commentary for [Period] results: 1) Explain key variances vs prior year and budget 2) Discuss underlying business drivers 3) Address one-time vs recurring items 4) Explain margin changes 5) Discuss outlook and risks 6) Use clear, concise executive language. Follow pyramid principle, quantify all claims, and include forward-looking statements disclaimer.
What it does: Creates comprehensive finance policies with controls and procedures. Prompt: Design [specific] finance policy for [Company]: 1) Define policy objectives and scope 2) Detail approval matrix and thresholds 3) Document procedures and controls 4) Include compliance requirements 5) Create exception handling process 6) Define KPIs and monitoring 7) Include training requirements 8) Add forms and templates. Ensure SOX compliance and include RACI matrix for all processes.
Slash commands that run inside a chat session. Each command takes structured inputs (company name, ticker, file path) and produces a formatted deliverable — comp tables, memos, models, or reports. Sourced from the financial services plugin.
Build institutional-grade comp tables with operating metrics and valuation multiples
Discounted cash flow valuation with WACC sensitivity analysis
Leveraged buyout model with debt schedules, returns waterfall, and exit scenarios
Linked income statement, balance sheet, and cash flow model
Competitive landscape deck with market positioning and strategic synthesis
Check spreadsheet for formula errors, balance mismatches, and model integrity issues
Fix messy data — trim whitespace, standardize dates, convert text-numbers, deduplicate
Update presentation with new quarterly numbers, earnings, or comp data
Check IB presentation for number consistency, data-narrative alignment, language polish
Screen CIM/teaser against fund investment criteria
Discover acquisition targets, check pipeline, draft founder outreach
Draft investment committee memo synthesizing diligence findings and financials
Comprehensive due diligence checklist tailored to sector and deal type
Targeted question lists, benchmarks, and red flags for due diligence meetings
IRR/MOIC sensitivity tables across entry multiple, leverage, and exit scenarios
Analyze unit economics — rent per SF, expense ratios, NOI margins
Post-acquisition value creation with EBITDA bridge
Track portfolio company KPIs against plan
Scan portfolio for AI deployment opportunities
Meeting prep with portfolio performance summary
Professional client-facing performance report
Comprehensive financial plan — retirement, education, estate
Professional investment proposal with allocation strategy
Analyze allocation drift and generate rebalancing recommendations
Identify tax-loss harvesting opportunities
Post-earnings report (8-12 pages) analyzing quarterly results
Pre-earnings scenario frameworks and key metrics
Institutional-quality equity research initiation report
Update financial model with new earnings or guidance
Morning meeting notes — overnight developments, trade ideas
Industry landscape report covering dynamics and outlook
Systematic stock screening combining quant and thematic filters
Upcoming catalysts — earnings, conferences, regulatory
Maintain and update investment theses