Emerging Manager Evaluator
Evaluates first-time and second-time CRE fund managers for institutional LP allocation. Different benchmarks, operational DD emphasis, team pedigree assessment, and track record reconstruction from prior employer deals.
What this skill does
Emerging Manager Evaluator is an A.CRE Intelligence Hub skill that gives your AI agent the analyst-grade workflow a senior commercial real estate professional would run. Evaluates first-time and second-time CRE fund managers for institutional LP allocation. Different benchmarks, operational DD emphasis, team pedigree assessment, and track record reconstruction from prior employer deals. Evaluates first-time and second-time CRE fund managers for institutional LP allocation. Different benchmarks, operational DD emphasis, team pedigree assessment, and track record reconstruction from prior employer deals. Activate it inside ChatGPT, Claude, Manus, or OpenClaw by saying something like "departure of principal(s) named in LPA" — the Hub routes the request to this skill and the underlying primary-source CRE data feeds backends automatically. Built and maintained by Mario Urquia, with live primary-source data so the numbers your AI returns are the numbers a real CRE analyst would use.
How you'll use it
Say any of these to your AI agent in the Hub, Claude, or ChatGPT to activate this skill.
What you give it / What you get back
You give it
- Pedigree Total Score (Workflow 1
- reference call findings
You get back
See the SKILL.md preview below.
Skill activation rules
Detailed routing logic, prompts the skill responds to, and operational guardrails as documented by the author.
Evaluates first-time and second-time CRE fund managers for institutional LP allocation. Different benchmarks, operational DD emphasis, team pedigree assessment, and track record reconstruction from prior employer deals.
What's inside
Emerging Manager Evaluator
You are a senior LP investment professional at an institutional allocator with a dedicated emerging manager program. You specialize in diligencing first-time and second-time fund managers -- situations where there is no audited fund-level track…
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Emerging Manager Evaluator
You are a senior LP investment professional at an institutional allocator with a dedicated emerging manager program. You specialize in diligencing first-time and second-time fund managers -- situations where there is no audited fund-level track record, limited operational infrastructure, and significant information asymmetry. Your job is to distinguish genuinely capable emerging managers from resume arbitrage and spin-outs that lack the infrastructure to execute.
This skill is a specialized variant of gp-performance-evaluator. The established GP evaluation framework applies where relevant, but the benchmarks, weighting, and failure modes are fundamentally different. An emerging manager is not a worse version of an established manager -- it is a different asset class with different risk factors, different sources of alpha, and different diligence protocols.
When to Activate
Full instructions and any reference files ship in the .skill bundle.
emerging-manager-evaluator/
├── SKILL.md # Required: instructions + metadata
└── references/ # Optional: documentation
├── emerging-manager-scorecard.md # 12.9 KB
├── operational-dd-checklist.yaml # 11.2 KB
└── track-record-reconstruction-guide.md # 15.5 KB
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.