1. Platforms to Connect via Crosslist

High-level view of other secondhand platforms and what to do next to get them ready for Crosslist (exact support depends on your Crosslist plan/version).

Platform	Typical Use Case	Crosslist Status (High-Level)	Next Steps to Hook Up
Poshmark	Clothing, shoes, accessories	Commonly supported	Create/verify account, set shipping/return prefs, test 1 cross-list.
Mercari	General consumer goods	Commonly supported	Create account, add payout info, confirm shipping options, test imports.
Facebook Marketplace	Local + shipped items	Often supported (varies)	Ensure FB account in good standing, confirm Marketplace access.
Depop	Vintage/streetwear fashion	Often supported	Create shop, set sizing/brand tags, test one clothing listing.
Vinted	Clothing-focused in some regions	Region/plan dependent	Check regional availability, create account, explore Crosslist docs.
Grailed	Men’s fashion, sneakers, street	Niche but relevant	Confirm support, create account, test a single high-value item.

General “Next Steps” for Any Platform

Confirm Crosslist supports the platform in your region/plan.
Create and verify the platform account (email, phone, identity if needed).
Set up basic profile: store name, avatar, shipping preferences, and return policy.
Do one manual listing on the platform first to understand its quirks.
Then use Crosslist to import a simple eBay listing and push it out as a test.

2. Automation Pipelines – Overview

Goal: reduce manual input while keeping you in control of pricing, condition, and final QA. The ideas below range from “light assist” to “heavier automation”.

3. Pipeline A – Assisted Listing Drafts from Notes

High-Level Idea

You capture minimal info (short text notes + 1–2 photos) per item.
An LLM agent turns that into a ready-to-paste listing draft (title, description, key specs).

Possible Stack

Input storage: simple text files + image folder in your WSL workspace.
LLM layer: local or cloud model accessed via CLI tool or small script.
Context bridge: MCP-style tools to feed your “listing rules” and past examples.

Flow (Top-Level)

You drop a new text file in items-inbox/ with rough notes (brand, type, condition).
A small script scans items-inbox/ and sends content + image paths to an LLM.
LLM returns:
- Proposed eBay title (following your title formula).
- Short description using your template headings.
- Suggested item specifics (brand, model, color, etc.).
Script writes a markdown file per item (e.g., drafts/item-123.md) that you copy into eBay/Crosslist.

4. Pipeline B – Photo-First Automation

High-Level Idea

You only take and upload photos; automation does the first pass at categorizing and drafting.

Possible Stack

Watcher: Home Assistant or a simple filesystem watcher monitoring a photos-inbox/ folder.
LLM / Vision model: describes the item, guesses category and key attributes.
Output: minimal JSON or YAML file per item + draft title/description.

Flow (Top-Level)

You batch-shoot photos and drop each item’s photos into its own subfolder.
Watcher detects new folders and calls a script or API.
Script sends sample photos to a vision-capable LLM.
LLM returns:
- Item type guess (e.g., “men’s jeans”, “wired headphones”).
- Key attributes (brand, color, size, condition keywords).
- Draft title and short description.
Script stores results in structured files so you can quickly review and paste into eBay.

5. Pipeline C – Cross-Platform Sync & Logging

High-Level Idea

Keep a single source of truth of where each item is listed and what happened (listed, sold, unlisted).

Possible Stack

Data store: a simple CSV in your repo or a small SQLite DB.
Automation: small scripts scheduled via cron, Home Assistant, or GitHub Actions.
Integrations: eBay API and, where possible, Crosslist exports/CSV data.

Flow (Top-Level)

When you list an item, you add a row to a “listings log” (manually or via script).
Periodically, a script pulls:
- Active listings and sold items from eBay (via API or CSV export).
- Status from other platforms where available.
Script updates your log with:
- Current status per platform (Active / Sold / Ended).
- Realized sale price and fees when available.
Optional: use a small dashboard (e.g., simple HTML or spreadsheet) to view inventory and performance.

6. Pipeline D – “Sold” Event Automation

High-Level Idea

When an item sells, automation helps you quickly clean up and communicate.

Possible Stack

Trigger: eBay “item sold” email, webhook, or periodic API check.
Orchestration: Home Assistant automation or small Python script.
Actions: reminders, template messages, checklist prompts.

Flow (Top-Level)

Sale is detected (via email rule or API poll).
Automation:
- Adds a “Ship Item” task to your task manager or a simple markdown TODO file.
- Generates a pre-filled buyer message template you can quickly send.
- Reminds you to end listings on other platforms (or prep a Crosslist action).
After you mark the item shipped, automation logs the shipping date and tracking number into your log.

7. Pipeline E – GitHub + MCP “Listing Brain”

High-Level Idea

Store your rules, templates, and best examples in a GitHub repo and expose them to LLM tools via MCP, so every automation has the same “brain”.

Possible Stack

GitHub repo: holds templates, past strong listings, condition wording, and size charts.
MCP server: exposes repo contents as structured tools to LLM agents.
LLM agents: use those tools whenever drafting titles/descriptions or checking QA.

Flow (Top-Level)

You maintain a listing-rules/ folder (markdown + small YAML files) in a GitHub repo.
An MCP server reads that folder and exposes tools like:
- get_title_template
- get_condition_phrases
- get_example_listings(category)
When your scripts call the LLM, they also enable these MCP tools.
Result: your drafts and QA checks become more consistent as the “brain” improves over time.

8. Next Steps for You

Decide which pipeline to prototype first (A: notes-first, B: photo-first, etc.).
Start with a very small script that:
- Reads one item’s notes and photos.
- Calls an LLM once.
- Outputs a single markdown draft you can paste into eBay.
Once comfortable, connect that script more tightly with your WSL workspace, Crosslist habits, and (later) APIs and MCP tools.