consent-to-sublease-expert
Use when a tenant wants to sublet excess space, drafting a three-party consent to sublease agreement, negotiating profit-sharing on subrent, structuring recapture rights, evaluating partial subleases with shared space, or comparing a sublease against surrender or assignment.
consent-to-assignment-expert
Use when drafting or reviewing a consent to assignment agreement, evaluating whether to release the original tenant from continuing liability after a business sale, negotiating recapture rights and joint-and-several provisions, or structuring assignment-plus-sublease combinations for professional corporations.
commercial-lease-expert
Use when reviewing commercial lease terms, structuring net/triple-net/modified-gross deals, evaluating renewal options, analyzing TI and free rent, advising on landlord-tenant rights, or preparing VTS-style approval memos with tenant profile and accretive/dilutive NER conclusions.
nimby-objection-analysis-response
Use when managing organized community opposition to infrastructure projects, classifying objections (legitimate concerns, misinformation, fundamental opposition, hidden motivations), designing evidence-based responses with impact studies and comparable outcomes, or building supporter coalitions to counter or neutralize organized opposition.
commercial-tenancies-act-enforcement-remedies
Use when advising landlords on enforcement strategy under Ontario Commercial Tenancies Act, executing distress for rent, weighing re-entry vs. acceleration vs. termination, calculating overholding double-rent liability, applying the election doctrine (Highway Properties) or mitigation duty (Southcott Estates), or defending against relief from forfeiture motions.
public-consultation-process-design
Use when designing consultation programs for controversial infrastructure projects, mapping stakeholders and choosing engagement levels via the IAP2 spectrum, facilitating hostile public meetings, capturing and analyzing community feedback by theme, or preparing "What We Heard" reports documenting consultation outcomes.
residential-displacement-mitigation-protocols
Use when managing residential displacement for transit corridors or infrastructure projects, scoring household vulnerability (seniors, low-income, disabilities, cultural ties), designing mitigation packages (enhanced compensation, relocation assistance, buyback options, phased timelines), or coordinating sensitive communication with displaced households (one-on-one meetings, language access, support services).
right-of-way-expert
Use when coordinating utility transmission corridors with other infrastructure (geometric conflict detection, relocation design, cost estimation, schedule risk), generating CUSPAP-style location overview narratives from an address or PIN for appraisal reports, applying easement valuation methods (percentage-of-fee, income capitalization, before/after), or planning ROW acquisition for linear infrastructure.
stakeholder-management-expert
Use when summarizing stakeholder feedback from public meetings, open houses, or Indigenous consultations, categorizing themes and running sentiment analysis (support/opposition/neutral/mixed), generating prioritized response strategies, tracking commitments made during consultation, or preparing briefing notes on consultation outcomes.
transit-station-site-acquisition-strategy
Use when evaluating alternative transit station sites using TOD potential and multi-modal scoring, planning multi-parcel station assembly, profiling holdout risk per parcel, deciding negotiation vs. expropriation sequencing, or integrating station area planning with joint development, zoning coordination, and community benefits packages.
transmission-line-technical-specifications
Use when defining transmission easement widths by voltage (69kV-500kV), calculating NESC conductor clearances and sag, optimizing tower placement for span limits and topography, documenting land use restrictions (building prohibitions, height limits, excavation), or coordinating environmental and regulatory approvals (wetlands, species at risk, archaeological, conservation authorities).
lease-surrender-expert
Use when a tenant wants to exit early and negotiate a buyout, a landlord needs space back for redevelopment or a replacement tenant, structuring partial surrender to reduce footprint, calculating surrender consideration and unamortized TI, or drafting mutual releases for a distressed tenant exit.
non-disturbance-expert
Use when drafting or reviewing an SNDA (Subordination, Non-Disturbance, Attornment) agreement, negotiating tenant protection against lender foreclosure, evaluating subordination clauses in a lease, or coordinating tripartite execution among landlord, tenant, and mortgagee for a major-space deal.
vercel-ai-elements
This skill provides comprehensive documentation for all 23 Vercel AI Elements components organized by category (Message, Conversation, Input/Interaction, Content Display, AI Processing, Advanced Features). Use when users ask about building AI chatbots, need component documentation, want API references for Vercel AI Elements, or need integration examples with the AI SDK.
Convex Agents Messages
Sends, saves, retrieves, and manages messages within agent conversations. Use this when handling user messages, displaying conversation history, and working with UIMessages for rich rendering.
Convex Agents Files
Handles file uploads, image attachments, and media processing in agent conversations. Use this when agents analyze images, process documents, or generate files.
Convex Agents Debugging
Troubleshoots agent behavior, logs LLM interactions, and inspects database state. Use this when responses are unexpected, to understand context the LLM receives, or to diagnose data issues.
Convex Agents Context
Customizes what information the LLM receives for each generation. Use this to control message history, implement RAG context injection, search across threads, and provide custom context.
convex-actions-general
This skill should be used when working with Convex actions, HTTP endpoints, validators, schemas, environment variables, scheduling, file storage, and TypeScript patterns. It provides comprehensive guidelines for function definitions, API design, database limits, and advanced Convex features.
betterauth-tanstack-convex
Step-by-step guide for setting up Better Auth authentication with Convex and TanStack Start. This skill should be used when configuring authentication in a Convex + TanStack Start project, troubleshooting auth issues, or implementing sign up/sign in/sign out flows. Covers installation, environment variables, SSR authentication, route handlers, and the expectAuth pattern.
convex-queries
This skill should be used when implementing Convex query functions. It provides comprehensive guidelines for defining, registering, calling, and optimizing queries, including pagination, full text search, and indexing patterns.
Convex Agents Streaming
Streams agent responses in real-time to clients without blocking. Use this for responsive UIs, long-running generations, and asynchronous streaming to multiple clients.
convex-mutations
This skill should be used when implementing Convex mutation functions. It provides comprehensive guidelines for defining, registering, calling, and scheduling mutations, including database operations, transactions, and scheduled job patterns.
Convex Agents Threads
Manages conversation threads to group messages into linear histories. Use this when organizing multi-turn conversations, managing per-user history, and handling thread metadata.
convex-tanstack
Comprehensive guide for building full-stack applications with Convex and TanStack Start. This skill should be used when working on projects that use Convex as the backend database with TanStack Start (React meta-framework). Covers schema design, queries, mutations, actions, authentication with Better Auth, routing, data fetching patterns, SSR, file storage, scheduling, AI agents, and frontend patterns. Use this when implementing features, debugging issues, or needing guidance on Convex + TanStack Start best practices.
Convex Agents Playground
Sets up a web UI for testing, debugging, and developing agents without code. Use this to manually test agents, browse conversation history, and verify behavior in real-time.
ai-elements-workflow
This skill provides guidance for building workflow visualizations using Vercel AI Elements and React Flow. It should be used when implementing interactive node-based interfaces, workflow diagrams, or process flow visualizations in Next.js applications. Covers Canvas, Node, Edge, Connection, Controls, Panel, and Toolbar components.
Convex Agents Fundamentals
Sets up and configures Convex agents for chat-based AI interactions. Use this when initializing agent instances, creating conversation threads, and generating basic text or structured responses from LLMs. Essential foundation for any Convex agent implementation.
Convex Agents Usage Tracking
Tracks LLM token consumption and usage metrics for billing, monitoring, and optimization. Use this to log token usage, calculate costs, generate invoices, and understand which agents or users consume the most resources.
Convex Agents Human Agents
Integrates human agents into automated workflows for human-in-the-loop interactions. Use this when humans need to respond alongside AI agents, handle escalations, or provide context that AI cannot determine.
Convex Agents Tools
Enables agents to call external functions, APIs, and database operations through tool definitions. Use this when agents need to fetch data, perform actions, or integrate with external services while maintaining clean separation.
Convex Agents Rate Limiting
Controls message frequency and token usage to prevent abuse and manage API budgets. Use this to implement per-user limits, global caps, burst capacity, and token quota management.
Convex Agents RAG
Implements Retrieval-Augmented Generation (RAG) patterns to enhance agents with custom knowledge bases. Use this when agents need to search through documents, retrieve context from a knowledge base, or ground responses in specific data.
Convex Agents Workflows
Orchestrates multi-step agent operations with durable execution, automatic retries, and recovery from failures. Use this for complex workflows that need to survive server restarts or coordinate multiple agents.
agency
Use Agency CLI to run parallel AI coding tasks in isolated Git worktrees. Invoke when user mentions "agency", "ag", parallel tasks, worktrees, or wants to run multiple coding agents simultaneously.
tokenmaxxer
Serious engineering work with a reviewed plan and adversarial review gates; the required first argument word picks the mode. `build` — features, root-caused fixes, cross-cutting changes (trivial ones skip planning, never the diff gate). `refactor` — consolidate one accreted component, behavior-preserving. `sweep` — unattended overnight cleanup of a named area, shipped as draft PRs. `experiment` — metric-driven experimentation: approved hypothesis tree, autonomous batch of runs, next-batch report. `followup` — work recorded out-of-scope findings with the user's decisions; no required argument. Invoke explicitly, e.g. `/tokenmaxxer refactor <component>`.
spymaster
Design, build, audit, and improve the harness around an LLM agent — its tools, loop, permissions, context, skills, and evals. Use when building, reviewing, or debugging any agentic system: an agent runtime or loop, agent-facing tools, an MCP server, an approval/permission flow, a context or memory strategy, an eval suite, or an existing agent that underperforms (flaky, wrong tool calls, retry loops, burning tokens) — even when the request just says "add a tool" or "make the agent do X" without naming a harness. Provider-neutral (OpenAI, Anthropic, MCP). Not for ordinary app features that don't change agent behavior, tool execution, context, permissions, or validation.
investigate
Evidence-first debugging and root cause investigation. Use for triaging bugs, test failures, incidents, performance regressions, flaky behavior, integration failures, or unexplained behavior before proposing fixes.
ml-project
Guidelines for ML projects. Use when training or evaluating models, building ML pipelines, running experiments, or working with datasets/parquet files and CatBoost/PyTorch/Polars code.
rust-webapp
Build full-stack web applications using Rust (Axum + SQLx) with server-rendered frontend patterns using HTMX + Alpine.js or DataStar, plus Neon (serverless PostgreSQL). Use when asked to create web apps, CRUD apps, dashboards, forms, or any stateful web application. Triggers on requests like "build a todo app", "create a voting app", "make a dashboard", "build a blog", etc.
dialectic
Prove and counter-prove a claim with parallel agents before concluding. Use for architecture claims, bug hypotheses, performance claims, refactor safety, review judgments, and "is this actually true?" questions.
encore-go-code-review
Review existing Encore Go code for best practices and common anti-patterns.
encore-go-api
Define typed API endpoints in Encore Go using `//encore:api` annotations. Covers typed request/response structs, path/query/header/cookie params, and error returns. For raw endpoints (`//encore:api raw`) and inbound webhooks, use `encore-go-webhook` instead.
encore-auth
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encore-api
Define typed API endpoints in Encore.ts using `api(...)` from `encore.dev/api`. Covers typed request/response interfaces, path/query/header/cookie params, request validation, and `APIError`. For raw endpoints (`api.raw()`) and inbound webhooks, use `encore-webhook` instead.
encore-code-review
Review existing Encore.ts code for best practices and common anti-patterns.
encore-database
Work with PostgreSQL in Encore.ts using `SQLDatabase` from `encore.dev/storage/sqldb` — schema migrations and SQL queries.
encore-webhook
Receive inbound webhooks from external services (Stripe, GitHub, Slack, Twilio, etc.) using `api.raw(...)` from `encore.dev/api`. The right skill any time the user names a third-party provider that POSTs events to a URL you own.
encore-testing
Write or run automated tests for Encore.ts code with `encore test` and vitest/jest. Covers isolated per-test databases, calling handlers directly, and `describe`/`it`/`expect`.
encore-service
Plan how to split an Encore.ts application into services and lay out its directory structure. Architecture and decomposition, not first-time CLI install (that's `encore-getting-started`).
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