analyzing-development-feasibility

Evaluates real estate development projects with cost analysis, return projections, and risk assessment. Use when analyzing development deals, projecting development returns, or assessing feasibility.

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Best use case

analyzing-development-feasibility is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Evaluates real estate development projects with cost analysis, return projections, and risk assessment. Use when analyzing development deals, projecting development returns, or assessing feasibility.

Teams using analyzing-development-feasibility should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/analyzing-development-feasibility/SKILL.md --create-dirs "https://raw.githubusercontent.com/CaseMark/skills/main/skills/finance/analyzing-development-feasibility/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/analyzing-development-feasibility/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How analyzing-development-feasibility Compares

Feature / Agentanalyzing-development-feasibilityStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Evaluates real estate development projects with cost analysis, return projections, and risk assessment. Use when analyzing development deals, projecting development returns, or assessing feasibility.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Analyzing Development Feasibility

Evaluates real estate development projects by building a ground-up cost model, projecting stabilized returns, stress-testing key assumptions, and delivering a go/no-go recommendation with supporting metrics.

## When To Use

- Sponsor or LP requests underwriting of a proposed ground-up development or major redevelopment
- Comparing multiple development sites or project configurations for capital allocation
- Assessing whether a land parcel justifies its asking price given highest-and-best-use development
- REIT or fund evaluating a development pipeline addition against return hurdles
- Lender reviewing a construction loan request for feasibility sign-off

## Inputs To Gather

- **Site information**: location, zoning designation, lot size, FAR/density limits, entitlement status [VERIFY zoning against local code]
- **Program**: proposed unit mix or rentable SF by type, parking ratio, amenity scope
- **Land basis**: purchase price or contributed value, closing costs, carry assumptions
- **Hard cost budget**: construction cost per SF or per unit (specify CSI level of detail available), contingency percentage
- **Soft costs**: architecture/engineering, permits/fees, legal, development management fee, interest reserve
- **Construction timeline**: pre-development months, construction duration, lease-up/absorption period
- **Revenue assumptions**: market rents or sale prices per SF/unit, escalation rate, vacancy/collection loss at stabilization
- **Operating expenses**: projected per-SF or per-unit OpEx, real estate taxes [VERIFY local mill rate], insurance, management fee
- **Capital structure**: equity/debt split, construction loan terms (rate, fees, interest reserve), permanent financing assumptions
- **Return hurdles**: target unlevered IRR, levered IRR, equity multiple, yield-on-cost, development spread

## Workflow

1. **Validate inputs and flag gaps** — Confirm all cost and revenue line items are present. Mark missing data with [VERIFY]. Check that zoning allows the proposed program (density, height, use type). Confirm entitlement status and timeline risk.

2. **Build the development budget** — Organize costs into land, hard costs, soft costs, and financing costs. Calculate total development cost (TDC) on an absolute and per-SF/per-unit basis. Compare hard cost estimates against relevant benchmarks (e.g., Marshall & Swift, recent comps). Apply contingency (typically 5–10% hard, 3–5% soft) and confirm adequacy.

3. **Project stabilized NOI** — Model gross potential revenue using the unit mix and market rents. Deduct vacancy/credit loss (typically 5–7% for multifamily, varies by product type [VERIFY]). Subtract operating expenses to arrive at stabilized NOI. Calculate yield-on-cost (stabilized NOI ÷ TDC) and compare to prevailing market cap rates to determine the development spread.

4. **Construct the cash flow pro forma** — Map monthly or quarterly draws against the construction and lease-up timeline. Model construction loan interest accrual (simple interest on outstanding balance). Capture lease-up trajectory with realistic absorption (units/month or SF/quarter). Run the pro forma through stabilization and, if a hold scenario, through a defined investment horizon (typically 5–10 years).

5. **Calculate return metrics** — Compute unlevered and levered IRR, equity multiple, peak equity requirement, and profit margin (residual value minus TDC as % of TDC). For sale scenarios, apply a terminal cap rate to stabilized NOI to estimate residual value and deduct disposition costs. Sensitivity-test IRR against ±10–15% swings in rents, construction costs, and timeline.

6. **Assess risk factors** — Evaluate entitlement/permitting risk, construction cost escalation exposure, absorption/lease-up risk, interest rate risk on floating-rate construction debt, and exit cap rate sensitivity. Flag any single-variable swing that moves IRR below the target hurdle.

7. **Benchmark and recommend** — Compare yield-on-cost and development spread to recent comparable projects and to acquisition alternatives. State whether the project clears return hurdles under base, upside, and downside scenarios. Provide a clear go/no-go recommendation with stated conditions (e.g., "proceed contingent on GMP contract below $X/SF").

## Output

Deliver a structured feasibility report containing:

- **Executive summary**: one-paragraph recommendation with headline metrics (TDC, yield-on-cost, development spread, levered IRR, equity multiple)
- **Development budget**: line-item breakdown with per-SF and per-unit columns
- **Pro forma summary**: annual NOI projection through stabilization, key revenue and expense assumptions
- **Returns analysis**: base case IRR/multiple plus sensitivity table (rent, cost, timeline axes)
- **Risk matrix**: top 5 risks ranked by probability and impact, with mitigants
- **Comparable benchmarks**: 2–3 recent comparable developments with cost and return metrics
- **Conditions and open items**: list of [VERIFY] items and recommended next diligence steps

## Quality Checks

- Yield-on-cost exceeds prevailing market cap rate by at least 100–200 bps (if not, flag as thin spread) [VERIFY market cap rate]
- TDC per SF/unit falls within reasonable range for product type and market — outliers require explanation
- Construction timeline aligns with local permitting norms and contractor availability [VERIFY]
- Sensitivity table covers at least three variables with meaningful swing ranges
- All assumptions sourced — no unsupported round numbers for rents, costs, or cap rates
- Interest reserve in the budget matches the modeled construction loan interest accrual
- Equity multiple and IRR are internally consistent with the cash flow pro forma (no formula errors)
- Peak equity draw timing is identified so the sponsor can plan capital calls

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