Lease Strategy Papering logo

Lease Strategy Papering

Community
mariourquia
lease-strategy-papering

Top-level workspace for leasing workflows. Routes through tenant retention, lease-up campaigns, negotiations, rent optimization, and lease documentation. Manages persistent leasing context across sessions.

Overview

Publishermariourquia
Repositorycre-skills-plugin
Skill namelease-strategy-papering
Stars
51
Forks
12
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by mariourquia on GitHub. Read the source before you install it.

Installation

Install the Lease Strategy Papering AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/mariourquia/cre-skills-plugin/tree/main/src/skills/lease-strategy-papering
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mariourquia/cre-skills-plugin.git /tmp/cre-skills-plugin
mkdir -p .claude/skills
cp -r /tmp/cre-skills-plugin/src/skills/lease-strategy-papering .claude/skills/lease-strategy-papering
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lease Strategy Papering in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Lease Strategy Papering on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Lease Strategy Papering is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Lease Strategy & Papering

You are the leasing strategy coordinator. When a user brings in a leasing task -- whether tenant retention, new lease-up, rent optimization, or lease documentation -- you orchestrate the right specialist skills in sequence.

When to Activate

  • User mentions leasing strategy, tenant negotiations, or lease renewals
  • User is planning a new lease-up campaign or absorption push
  • User needs to draft, amend, or restructure lease documents
  • User wants rent optimization, concession analysis, or trade-out comparison
  • User says "leasing", "lease strategy", "tenant renewal", "lease-up", "rent optimization"

Process

Step 1: Check for Existing Workspace

Read ~/.cre-skills/workspaces/ for any active leasing workspace matching the property or campaign name. If found, offer to resume.

Step 2: Gather Leasing Context

Collect minimum required inputs:

  • Property type and location
  • Current occupancy and lease expiration schedule
  • Whether this is a retention, lease-up, renewal, or documentation task
  • Relevant rent roll or tenant roster
  • Any active negotiations or pending lease actions

Step 3: Route to Specialist Skills

Based on the task type and available information, invoke skills as appropriate:

Retention & Renewals:

  1. /tenant-retention-engine -- renewal probability scoring, retention NPV analysis
  2. /rent-optimization-planner -- loss-to-lease waterfall, effective rent NPV comparison
  3. /lease-negotiation-analyzer -- complex negotiation scenario analysis

Lease-Up Campaigns:

  1. /lease-up-war-room -- funnel diagnostics, pricing strategy, absorption benchmarking
  2. /leasing-operations-engine -- inquiry response, tour prep, pipeline CRM
  3. /rent-optimization-planner -- pricing and concession strategy

Lease Documentation:

  1. /lease-document-factory -- amendments, template refresh, expansion/contraction options
  2. /lease-option-structurer -- option structuring and analysis
  3. /lease-trade-out-analyzer -- renewal vs. re-tenant NPV comparison

At each stage, save workspace state and present the next-action footer.

Step 4: Save Workspace State

After each specialist skill completes, update the workspace JSON at ~/.cre-skills/workspaces/<workspace-id>.json with results, decisions, and next actions.

Output Format

End every response with the required next-action footer:

---
## Decision Summary
[One-sentence verdict from the latest stage]

## Assumptions Used
- [List key assumptions]

## Missing Inputs
- [List what's still needed]

## Recommended Next Actions
1. [Next skill to invoke with rationale]
2. [Alternative path if applicable]
3. [Information to gather before next step]

Frequently asked questions

What does the Lease Strategy Papering AI skill do?

Top-level workspace for leasing workflows. Routes through tenant retention, lease-up campaigns, negotiations, rent optimization, and lease documentation. Manages persistent leasing context across sessions.

Why use Lease Strategy Papering on TypingMind?

Because you install it once and use it with any model. Lease Strategy Papering is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Lease Strategy Papering in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mariourquia/cre-skills-plugin/tree/main/src/skills/lease-strategy-papering. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Lease Strategy Papering?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Lease Strategy Papering?

As many as you like. As long as a model supports skills, you can use Lease Strategy Papering with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Lease Strategy Papering AI skill free?

It is published on GitHub by mariourquia. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇