Lease Up First Period
Operationalize the first 12-18 months post-delivery of a new-construction or gut-renovation asset: monthly tracker of lease-up velocity vs underwriting, concession depth vs market, approval-rate posture, traffic-source mix, broker-assist rate, model-unit performance, first-renewal retention readiness, stabilization pace, NOI ramp vs underwriting, lender-reporting compliance, and equity-call scheduling for any unfunded reserves. Distinguishes from the steady-state `workflows/monthly_property_operating_review` by adding ramp-tracking metrics and by wiring the cross-system posture between AppFolio (leasing funnel + lease execution) and Excel (rent comp + concession benchmark) into a single lease-up narrative. Hands off to `workflows/monthly_property_operating_review` once the property crosses the lifecycle stabilization threshold. Narrative-first with a KPI dashboard. Informational to recommendation severity: this pack does not authorize concession policy exceptions, pricing shifts, or equity-call initiations —
What this skill does
Lease Up First Period is an A.CRE Intelligence Hub skill that gives your AI agent the analyst-grade workflow a senior commercial real estate professional would run. Operationalize the first 12-18 months post-delivery of a new-construction or gut-renovation asset: monthly tracker of lease-up velocity vs underwriting, concession depth vs market, approval-rate posture, traffic-source mix, broker-assist rate, model-unit performance, first-renewal retention readiness, stabilization pace, NOI ramp vs underwriting, lender-reporting compliance, and equity-call scheduling for any unfunded reserves. Distinguishes from the steady-state `workflows/monthly_property_operating_review` by adding ramp-tracking metrics and by wiring the cross-system posture between AppFolio (leasing funnel + lease execution) and Excel (rent comp + concession benchmark) into a single lease-up narrative. Hands off to `workflows/monthly_property_operating_review` once the property crosses the lifecycle stabilization threshold. Narrative-first with a KPI dashboard. Informational to recommendation severity: this pack does not authorize concession policy exceptions, pricing shifts, or equity-call initiations —.
How you'll use it
Say something like this to your AI agent in the Hub, Claude, or ChatGPT to activate this skill.
Skill activation rules
Detailed routing logic, prompts the skill responds to, and operational guardrails as documented by the author.
Operationalize the first 12-18 months post-delivery of a new-construction or gut-renovation asset: monthly tracker of lease-up velocity vs underwriting, concession depth vs market, approval-rate posture, traffic-source mix, broker-assist rate, model-unit performance, first-renewal retention readiness, stabilization pace, NOI ramp vs underwriting, lender-reporting compliance, and equity-call scheduling for any unfunded reserves. Distinguishes from the steady-state `workflows/monthly_property_operating_review` by adding ramp-tracking metrics and by wiring the cross-system posture between AppFolio (leasing funnel + lease execution) and Excel (rent comp + concession benchmark) into a single lease-up narrative. Hands off to `workflows/monthly_property_operating_review` once the property crosses the lifecycle stabilization threshold. Narrative-first with a KPI dashboard. Informational to recommendation severity: this pack does not authorize concession policy exceptions, pricing shifts, or equity-call initiations —
What's inside
Lease-Up First Period
Workflow purpose
Give the leasing_director, regional_ops_director, asset_mgmt_director, and investments_lead a single monthly view of a new-construction or gut-renovation asset during its first 12-18 months post-delivery — so that drift from the…
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Lease-Up First Period
Workflow purpose
Give the leasing_director, regional_ops_director, asset_mgmt_director, and investments_lead a single monthly view of a new-construction or gut-renovation asset during its first 12-18 months post-delivery — so that drift from the underwriting lease-up curve, concession escalation beyond the comp set, model-unit or marketing- channel underperformance, and lender-reporting or equity-call timing risk surface in the same month they occur.
This pack is ramp-aware. It is not the steady-state monthly review. It preserves
lease-up-specific metrics (lease_up_pace_vs_underwriting, concession_depth_vs_market,
noi_ramp_vs_underwriting, first_renewal_window_retention_readiness) and explicitly
annotates when a property crosses the stabilization threshold and the ownership-side
review cadence hands off to workflows/monthly_property_operating_review.
Full instructions and any reference files ship in the .skill bundle.
lease-up-first-period/ └── SKILL.md # Required: instructions + metadata
How to run it
Not in the Hub? Download the .skill bundle above and follow the A.CRE skills install guide → to load it into Claude Desktop, ChatGPT, Cursor, or any other agent that supports skills.
Already in the Hub. If you're an AI.Edge Pro or A.CRE Accelerator member, this skill is bundled into the A.CRE Intelligence Hub direct connector (MCP server) — just ask your agent.