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SkillsMP は reggiechan74/021-CRE-150 から 16 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 16 件中 16 件を表示しています。
This skill should be used when the user asks to "abstract a lease", "extract lease terms", "summarize a commercial lease", "analyze a CRE lease", "review lease provisions", "identify lease risks", "extract critical dates from a lease", "generate a critical…
原文の言語: 英語
Use when the user asks to run a competitive positioning analysis, rank a subject property against market comparables using MCDA, determine how competitive a listing is, calculate what rent reduction is needed to achieve Top 3 positioning, analyze a CoStar or…
原文の言語: 英語
Use when evaluating a roofing contractor bid's mandatory pass/fail gates — WSIB clearance, CGL insurance, bonding, working-at-heights training, addenda, references, years in business. Populates `mandatory_gates` and contributes qualification-related red flags…
原文の言語: 英語
Use when evaluating a roofing bid's technical content against the RFP and Ontario codes — materials adequacy, warranty validity, OBC compliance, manufacturer system compatibility, wind uplift, insulation R-value compliance, and cover-board presence. Produces…
原文の言語: 英語
Create a markdown index of property photos with AI-generated descriptions. Use when you have a folder of site photos that need cataloging.
原文の言語: 英語
Use when the user asks to parse, extract, or normalize an owner's roof replacement RFP or tender document PDF into a structured schema. Works on Ontario commercial (OBC Part 3) and residential (OBC Part 9) roof projects.
原文の言語: 英語
Use when the user asks to parse, extract, or normalize a roofing contractor's bid or tender submission PDF against a previously-parsed RFP. Captures pricing, scope response, materials, warranty, qualifications, schedule, and technical approach, with…
原文の言語: 英語
Use when drafting the final owner-facing recommendation memo for a roof replacement tender award, after scoring and red-flag consolidation are complete. Synthesizes scoring matrix, red flags, and project context into an executive memo.
原文の言語: 英語
Use when producing a weighted MCDA scoring matrix across multiple roofing bids after mandatory gates and technical review are complete. Invokes the Python scoring engine, populates scores and rank, and renders the scoring matrix markdown.
原文の言語: 英語
Use when the user asks to analyze lease deal economics, calculate Net Effective Rent (NER), Net Present Value (NPV), or breakeven rent thresholds using the Ponzi Rental Rate (PRR) framework. Trigger phrases include: "effective rent", "NER", "NPV of lease",…
原文の言語: 英語
Use when the user asks to classify CAM line items for recoverability, determine whether a GL posting belongs in the office or retail pool, evaluate duplicate invoices, check turnover-related janitorial charges, or validate whether a management fee is…
原文の言語: 英語
Use when the user asks why a tenant was charged a particular amount, how a specific GL line flowed through the reconciliation, or wants a drill-in explanation from an allocated manifest using the citation graph.
原文の言語: 英語
Use when the user asks for tenant-facing CAM commentary, wants a plain-English explanation of a tenant's true-up, or needs concise statement language for modified-gross, base-year, or CAM-cap lease structures.
原文の言語: 英語
Use when the user asks to analyze a tenant's creditworthiness, run a tenant credit check, assess financial strength for lease approval, calculate security deposit requirements, estimate default probability for a prospective tenant, or generate a credit risk…
原文の言語: 英語
Use when the user asks to run an MCDA sales comparison analysis, rank comparable sales using multi-criteria decision analysis, value a commercial property using ordinal ranking, produce an MCDA valuation report, or apply MCDA to a comparable sales dataset.…
原文の言語: 英語
This skill should be used when the user asks to "extract MLS data", "parse an MLS report", "extract properties from an MLS PDF", "create an MLS Excel spreadsheet", "extract MLS listings", "process an MLS PDF", "get property data from MLS", or any request to…
原文の言語: 英語