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Pp 1688

CommunityPopular
mvanhorn
pp-1688

The free, offline Trigger phrases: `search 1688 for`, `find a factory on 1688 for`, `wholesale price on 1688 for`, `who is the cheapest supplier on 1688 for`, `compare 1688 suppliers for`, `use 1688`, `run 1688`.

Overview

Publishermvanhorn
Repositoryprinting-press-library
Skill namepp-1688
Stars
2K
Forks
614
Bundled files
Instructions only
LicenseApache-2.0
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 mvanhorn on GitHub. Read the source before you install it.

Installation

Install the Pp 1688 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.
  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/mvanhorn/printing-press-library.git /tmp/printing-press-library
mkdir -p .claude/skills
cp -r /tmp/printing-press-library/cli-skills/pp-1688 .claude/skills/pp-1688
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pp 1688 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 Pp 1688 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 Pp 1688 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.

1688 — Printing Press CLI

Prerequisites: Install the CLI

This skill drives the 1688-pp-cli binary. You must verify the CLI is installed before invoking any command from this skill. If it is missing, install it first:

  1. Install via the Printing Press installer. It defaults binaries to $HOME/.local/bin on macOS/Linux and %LOCALAPPDATA%\Programs\PrintingPress\bin on Windows:
    bash
    npx -y @mvanhorn/printing-press-library install 1688 --cli-only
  2. Verify: 1688-pp-cli --version
  3. Ensure the reported install directory is on $PATH for the agent/runtime that will invoke this skill.

If the npx install fails (no Node, offline, etc.), fall back to a direct Go install (requires Go 1.26.6 or newer). This installs into $GOPATH/bin (default $HOME/go/bin), so add that directory to $PATH instead:

bash
go install github.com/mvanhorn/printing-press-library/library/commerce/1688/cmd/1688-pp-cli@latest

If --version reports "command not found" after install, the runtime cannot see the binary directory on $PATH. Do not proceed with skill commands until verification succeeds.

Search 1688.com's China-domestic wholesale catalog and get structured offers (tiered price, MOQ, supplier, region, transaction volume) for free, with no paid scraper API and no API key. Every search persists to a local SQLite store, so drift shows how prices and reorder rates moved since last week, factory-find ranks real manufacturers above resellers, and supplier-report rolls up a shop's full reliability footprint. Read-only sourcing research.

When to Use This CLI

Use this CLI for read-only sourcing research on 1688.com: searching the China-domestic wholesale catalog, comparing offers on price/MOQ/reliability, distinguishing factories from resellers, and tracking how prices and reorder rates change over time. It is the right tool when an agent needs structured, scriptable wholesale data without a paid scraper subscription.

Anti-triggers

Do not use this CLI for:

  • Do not use this CLI for Alibaba.com international listings; that is a different site and API
  • Do not use it to place orders, add to cart, or contact suppliers; it is strictly read-only
  • Do not use it for Taobao/Tmall consumer retail listings
  • Do not use it expecting rich results from English keywords; 1688 is a Mandarin marketplace, translate first

Unique Capabilities

These capabilities aren't available in any other tool for this API.

Sourcing signals competitors don't rank

  • factory-find — Rank wholesale offers by how likely the seller is the real factory, not a reseller, and label each trader / likely-factory / verified-factory.

    Reach for this when an agent must pick a manufacturer over a middleman among dozens of near-identical listings.

    bash
    1688-pp-cli factory-find 蓝牙耳机 --top 10 --json
  • repurchase-top — Rank synced offers and suppliers by 回头率 (buyer reorder rate), with a minimum-transaction floor to suppress low-volume noise.

    Use it to surface suppliers buyers actually come back to, instead of trusting a one-off star rating.

    bash
    1688-pp-cli repurchase-top 手机壳 --min-tx 100 --json
  • region-spread — Group stored offers for a keyword by Chinese province and report min, median, and max price plus transaction count per region.

    Reach for this to spot whether a product is meaningfully cheaper out of one manufacturing cluster before narrowing suppliers.

    bash
    1688-pp-cli region-spread 手机壳 --json

Local state that compounds

  • drift — Show how an offer's price, reorder rate, and 30-day transaction count moved across your stored snapshots.

    Reach for this before a reorder to see whether a 'limited-time' price actually dropped or a supplier's reliability is trending down.

    bash
    1688-pp-cli drift 手机壳 --json
  • compare — Render a side-by-side table of price, MOQ, tier, reorder rate, transactions, factory flags, and trade scores for several offers of the same product.

    Use it to make the final buy decision between a handful of shortlisted suppliers in one view.

    bash
    1688-pp-cli compare 927875250705 836112681124 --json
  • supplier-report — Aggregate one shop across all its stored offers: trade-service scores, average reorder rate, total transactions, verification badges, offer count, and price range.

    Reach for this to vet or audit a supplier before committing volume, instead of judging from one listing.

    bash
    1688-pp-cli supplier-report b2b-2850655109d72ea --json
  • watch — Re-run a saved search, store a fresh snapshot, and print only what changed since last run: price and reorder-rate moves plus newly appeared offers and suppliers.

    Use it on a schedule to catch new entrants and price moves in a category without re-reading the whole result set.

    bash
    1688-pp-cli watch 手机壳 --json

Command Reference

offers — Inspect 1688 wholesale offer detail pages

  • 1688-pp-cli offers <offer_id> — Fetch a 1688 offer's public detail page by offer ID

Finding the right command

When you know what you want to do but not which command does it, ask the CLI directly:

bash
1688-pp-cli which "<capability in your own words>"

which resolves a natural-language capability query to the best matching command from this CLI's curated feature index. Exit code 0 means at least one match; exit code 2 means no confident match — fall back to --help or use a narrower query.

Recipes

Find verified factories for a product

bash
1688-pp-cli factory-find 蓝牙耳机 --top 10 --json

Ranks likely manufacturers above traders using factory flags, reorder rate, and trade scores.

Narrow a verbose search payload for an agent

bash
1688-pp-cli search 手机壳 --agent --select offers.title,offers.price_cny,offers.repurchase_rate,offers.supplier_name

Search responses are large and nested; --select pulls only the fields an agent needs so it does not burn context.

Compare shortlisted suppliers head to head

bash
1688-pp-cli compare 927875250705 836112681124 --json

Side-by-side price/MOQ/reorder/factory signals for specific offers you already synced.

Check price and reorder-rate drift before a reorder

bash
1688-pp-cli drift 手机壳 --json

Diffs the latest stored snapshot against prior ones so you see real movement, not marketing 'limited-time' labels.

Rank suppliers by buyer reorder rate

bash
1688-pp-cli repurchase-top 手机壳 --min-tx 100 --json

Surfaces shops buyers actually come back to, ignoring low-volume noise.

Auth Setup

No authentication required.

Run 1688-pp-cli doctor to verify setup.

Agent Mode

Add --agent to any command. Expands to: --json --compact --no-input --no-color --yes.

  • Pipeable — JSON on stdout, errors on stderr

  • Filterable--select keeps a subset of fields. Dotted paths descend into nested structures; arrays traverse element-wise. Critical for keeping context small on verbose APIs:

    bash
    1688-pp-cli offers mock-value --agent --select id,name,status
  • Previewable--dry-run shows the request without sending

  • Offline-friendly — sync/search commands can use the local SQLite store when available

  • Non-interactive — never prompts, every input is a flag

  • Read-only — do not use this CLI for create, update, delete, publish, comment, upvote, invite, order, send, or other mutating requests

Response envelope

Commands that read from the local store or the API wrap output in a provenance envelope:

json
{
  "meta": {"source": "live" | "local", "synced_at": "...", "reason": "..."},
  "results": <data>
}

Parse .results for data and .meta.source to know whether it's live or local. A human-readable N results (live) summary is printed to stderr only when stdout is a terminal AND no machine-format flag (--json, --csv, --compact, --quiet, --plain, --select) is set — piped/agent consumers and explicit-format runs get pure JSON on stdout.

Agent Feedback

When you (or the agent) notice something off about this CLI, record it:

1688-pp-cli feedback "the --since flag is inclusive but docs say exclusive"
1688-pp-cli feedback --stdin < notes.txt
1688-pp-cli feedback list --json --limit 10

Entries are stored locally at ~/.local/share/1688-pp-cli/feedback.jsonl. They are never POSTed unless API_1688_FEEDBACK_ENDPOINT is set AND either --send is passed or API_1688_FEEDBACK_AUTO_SEND=true. Default behavior is local-only.

Write what surprised you, not a bug report. Short, specific, one line: that is the part that compounds.

Output Delivery

Every command accepts --deliver <sink>. The output goes to the named sink in addition to (or instead of) stdout, so agents can route command results without hand-piping. Three sinks are supported:

SinkEffect
stdoutDefault; write to stdout only
file:<path>Atomically write output to <path> (tmp + rename)
webhook:<url>POST the output body to the URL (application/json or application/x-ndjson when --compact)

Unknown schemes are refused with a structured error naming the supported set. Webhook failures return non-zero and log the URL + HTTP status on stderr.

Named Profiles

A profile is a saved set of flag values, reused across invocations. Use it when a scheduled agent calls the same command every run with the same configuration - HeyGen's "Beacon" pattern.

1688-pp-cli profile save briefing --json
1688-pp-cli --profile briefing offers mock-value
1688-pp-cli profile list --json
1688-pp-cli profile show briefing
1688-pp-cli profile delete briefing --yes

Explicit flags always win over profile values; profile values win over defaults. agent-context lists all available profiles under available_profiles so introspecting agents discover them at runtime.

Exit Codes

CodeMeaning
0Success
2Usage error (wrong arguments)
3Resource not found
5API error (upstream issue)
7Rate limited (wait and retry)
10Config error

Argument Parsing

Parse $ARGUMENTS:

  1. Empty, help, or --help → show 1688-pp-cli --help output
  2. Starts with install → ends with mcp → MCP installation; otherwise → see Prerequisites above
  3. Anything else → Direct Use (execute as CLI command with --agent)

MCP Server Installation

  1. Install the MCP server:
    bash
    go install github.com/mvanhorn/printing-press-library/library/commerce/1688/cmd/1688-pp-mcp@latest
  2. Register with Claude Code:
    bash
    claude mcp add 1688-pp-mcp -- 1688-pp-mcp
  3. Verify: claude mcp list

Direct Use

  1. Check if installed: which 1688-pp-cli If not found, offer to install (see Prerequisites at the top of this skill).
  2. Match the user query to the best command from the Unique Capabilities and Command Reference above.
  3. Execute with the --agent flag:
    bash
    1688-pp-cli <command> [subcommand] [args] --agent
  4. If ambiguous, drill into subcommand help: 1688-pp-cli <command> --help.

Frequently asked questions

What does the Pp 1688 AI skill do?

The free, offline Trigger phrases: `search 1688 for`, `find a factory on 1688 for`, `wholesale price on 1688 for`, `who is the cheapest supplier on 1688 for`, `compare 1688 suppliers for`, `use 1688`, `run 1688`.

Why use Pp 1688 on TypingMind?

Because you install it once and use it with any model. Pp 1688 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 Pp 1688 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-1688. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pp 1688?

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 Pp 1688?

As many as you like. As long as a model supports skills, you can use Pp 1688 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pp 1688 AI skill free?

Yes. It is published on GitHub by mvanhorn under the Apache-2.0 license. 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.

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