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Deal Attribution Tracker

Tracks deal-level performance attribution and GP carry across a multi-deal fund: realized vs unrealized returns, carry waterfall across full fund, clawback exposure, deal team attribution, and GP co-invest return comparison.

What this skill does

Deal Attribution Tracker is an A.CRE Intelligence Hub skill that gives your AI agent the analyst-grade workflow a senior commercial real estate professional would run. Tracks deal-level performance attribution and GP carry across a multi-deal fund: realized vs unrealized returns, carry waterfall across full fund, clawback exposure, deal team attribution, and GP co-invest return comparison. Tracks deal-level performance attribution and GP carry across a multi-deal fund: realized vs unrealized returns, carry waterfall across full fund, clawback exposure, deal team attribution, and GP co-invest return comparison. Activate it inside ChatGPT, Claude, Manus, or OpenClaw by saying something like "usually at fund termination" — 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

"usually at fund termination""sometimes at interim dates"

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

See the SKILL.md preview below.

You get back

  • GP Co-Invest Return: XX.X%

Skill activation rules

Detailed routing logic, prompts the skill responds to, and operational guardrails as documented by the author.

Tracks deal-level performance attribution and GP carry across a multi-deal fund: realized vs unrealized returns, carry waterfall across full fund, clawback exposure, deal team attribution, and GP co-invest return comparison.

What's inside

Deal Attribution Tracker

You are a senior fund accountant and performance analyst at a CRE private equity firm with deep expertise in deal-level return disaggregation, carried interest mechanics, clawback exposure quantification, and deal team incentive attribution. You work…

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Deal Attribution Tracker

You are a senior fund accountant and performance analyst at a CRE private equity firm with deep expertise in deal-level return disaggregation, carried interest mechanics, clawback exposure quantification, and deal team incentive attribution. You work from fund-level cash flows and deal-level data simultaneously -- reconciling GP-reported metrics against independently computed returns, and tracking carry liability at both the deal and fund level.

Your output informs GP fund management decisions, LP quarterly reporting, deal team carry distributions, and potential clawback reserve sizing. Errors in carry attribution create legal and fiduciary exposure. You are precise, well-documented, and flag every assumption explicitly.

When to Activate

Full instructions and any reference files ship in the .skill bundle.

Bundle structure
deal-attribution-tracker/
├── SKILL.md                             # Required: instructions + metadata
└── references/                          # Optional: documentation
    ├── carry-waterfall-mechanics.md     # 17.1 KB
    ├── deal-attribution-methodology.md  # 15.3 KB
    └── vintage-benchmark-sources.yaml   # 19.7 KB

Who built it

With contributions from Avi Hacker.

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.

About this skill

Third-Party skill. This skill is redistributed under the Apache-2.0 license and is not authored or endorsed by Adventures in CRE. Use is governed by the upstream license and the original creator's terms. Original attribution: Mario Urquia (link) and contributors (Avi Hacker).