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Pp Ankiweb

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mvanhorn
pp-ankiweb

The only terminal-native way to search, rank Trigger phrases: `ankiweb shared decks`, `search anki decks`, `best anki deck for`, `download anki deck`, `my synced anki decks`, `use ankiweb`, `run ankiweb`.

Overview

Publishermvanhorn
Repositoryprinting-press-library
Skill namepp-ankiweb
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 Ankiweb 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-ankiweb .claude/skills/pp-ankiweb
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pp Ankiweb 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 Ankiweb 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 Ankiweb 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.

AnkiWeb — Printing Press CLI

Prerequisites: Install the CLI

This skill drives the ankiweb-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 ankiweb --cli-only
  2. Verify: ankiweb-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):

bash
go install github.com/mvanhorn/printing-press-library/library/education/ankiweb/cmd/ankiweb-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.

When to Use This CLI

Reach for AnkiWeb CLI when you want to discover, evaluate, or track community shared decks from the terminal or an agent, list your cloud-synced decks, search the cards already in your collection, or add new notes. It is the right tool for ranking decks by quality, filtering by audio coverage, comparing candidates, watching for new decks, searching your own cards, and adding cards — things the AnkiWeb website does slowly or an agent cannot otherwise reach. For editing or deleting existing cards, reviewing/studying, or local desktop automation, use an AnkiConnect-based tool instead.

When Not to Use This CLI

Do not activate this CLI for requests that edit or delete existing cards, review/study cards, create decks, or perform local desktop automation — use an AnkiConnect-based tool for those. The only write this CLI performs is adding new notes via notes add (guarded by --dry-run and confirmation); everything else is read-only inspection, search, sync, and analysis.

Unique Capabilities

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

Catalog intelligence the website can't do

  • shared rank — Rank shared decks by approval rate (upvotes vs downvotes) with a minimum-vote floor, instead of the raw vote counts the website shows.

    Pick the highest-quality deck for a topic in one command instead of eyeballing vote counts deck by deck.

    bash
    ankiweb-pp-cli shared rank spanish --min-votes 20 --agent
  • shared search — Filter shared decks by whether they include audio or images, critical for language learners.

    Surface only media-rich decks when audio matters (language study) without opening each deck.

    bash
    ankiweb-pp-cli shared search japanese --has-audio --agent
  • compare — Compare multiple shared decks in one table: approval rate, note count, audio/image coverage, and freshness.

    Decide between near-duplicate decks at a glance instead of flipping between tabs.

    bash
    ankiweb-pp-cli compare 241428882 815543631 --agent
  • shared fresh — Rank or filter shared decks by last-modified date to surface actively maintained decks.

    Avoid stale abandoned decks by finding the ones updated recently.

    bash
    ankiweb-pp-cli shared fresh anatomy --since 2024-01-01 --agent

Local state that compounds

  • watch — Show shared decks that are new or changed for a search term since your last sync.

    Re-run a weekly topic search and see only what's new instead of re-scanning the whole list.

    bash
    ankiweb-pp-cli watch spanish --since-last-sync --agent
  • drift — Track download-count changes on the decks you've published, between syncs.

    See whether your published decks are gaining traction over time without manual note-taking.

    bash
    ankiweb-pp-cli drift --agent
  • brief — One digest for a topic: top decks by approval rate, audio coverage, the freshest deck, and how many are new since last sync.

    Get a complete read on a topic's deck landscape in one call instead of running four commands.

    bash
    ankiweb-pp-cli brief spanish --agent

Discovery Signals

This CLI was generated with browser-observed traffic context.

  • Capture coverage: 5 API entries from 6 total network entries
  • Protocols: protobuf (95% confidence), sveltekit_spa (90% confidence)
  • Auth signals: cookie — cookies: has_auth
  • Generation hints: protobuf_responses_require_handwritten_decoders, cookie_auth_validated, download_requires_signed_token
  • Candidate command ideas: search — GET /svc/shared/list-decks?search= returns repeated deck protobuf {id,title,upvotes,downvotes,modified,notes,audio,images}; info — GET /svc/shared/item-info?sharedId= returns full deck detail + reviews protobuf; download — GET /svc/shared/download-deck/{id}?t= requires client-minted signed token (op=sdd); token generation unresolved; list — POST /svc/decks/deck-list-info returns user's synced decks; cookie-gated
  • Caveats: : All API responses are protobuf, not JSON; generated JSON decoding will not work without hand-written wire-format readers.; : Shared-deck download needs a signed ?t= token minted by AnkiWeb client JS; not reproducible from captured traffic alone.

Command Reference

decks — Your cloud-synced decks and study stats (requires AnkiWeb login)

  • ankiweb-pp-cli decks — List your synced decks with card counts and study stats (protobuf response; 200 with session cookie, 403 without)

shared — Browse, search, and download public shared decks (no login required)

  • ankiweb-pp-cli shared download — Download a shared deck .apkg. NOTE: requires a signed ?
  • ankiweb-pp-cli shared info — Full detail + reviews for one shared deck (protobuf response)
  • ankiweb-pp-cli shared search — Search the shared-deck catalog by keyword (protobuf response)

Finding the right command

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

bash
ankiweb-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 the best audio-rich Spanish deck

bash
ankiweb-pp-cli shared rank spanish --has-audio --min-votes 20 --agent --select decks.title,decks.approval,decks.notes

Ranks audio-bearing Spanish decks by approval rate and narrows the JSON to just title, approval, and note count.

Compare three anatomy decks

bash
ankiweb-pp-cli compare 241428882 815543631 1713698257 --agent

One table of approval rate, notes, audio/image coverage, and freshness across the three deck ids.

What anatomy decks are new this week

bash
ankiweb-pp-cli watch anatomy --since-last-sync --agent

Diffs the current catalog against your last sync and lists only new or changed decks.

Topic briefing

bash
ankiweb-pp-cli brief japanese --agent

Top decks by approval, audio coverage percentage, the freshest deck, and new-since-sync count in one digest.

Auth Setup

AnkiWeb uses a session cookie, not an API key. Run auth login --chrome to import your logged-in ankiweb.net session, or set ANKIWEB_COOKIES. Public shared-deck search and info need no login.

Run ankiweb-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
    ankiweb-pp-cli decks --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, --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:

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

Entries are stored locally at ~/.local/share/ankiweb-pp-cli/feedback.jsonl. They are never POSTed unless ANKIWEB_FEEDBACK_ENDPOINT is set AND either --send is passed or ANKIWEB_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.

ankiweb-pp-cli profile save briefing --json
ankiweb-pp-cli --profile briefing decks
ankiweb-pp-cli profile list --json
ankiweb-pp-cli profile show briefing
ankiweb-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
4Authentication required
5API error (upstream issue)
7Rate limited (wait and retry)
10Config error

Argument Parsing

Parse $ARGUMENTS:

  1. Empty, help, or --help → show ankiweb-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

Install the MCP binary from this CLI's published public-library entry or pre-built release, then register it:

bash
claude mcp add ankiweb-pp-mcp -- ankiweb-pp-mcp

Verify: claude mcp list

Direct Use

  1. Check if installed: which ankiweb-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
    ankiweb-pp-cli <command> [subcommand] [args] --agent
  4. If ambiguous, drill into subcommand help: ankiweb-pp-cli <command> --help.

Frequently asked questions

What does the Pp Ankiweb AI skill do?

The only terminal-native way to search, rank Trigger phrases: `ankiweb shared decks`, `search anki decks`, `best anki deck for`, `download anki deck`, `my synced anki decks`, `use ankiweb`, `run ankiweb`.

Why use Pp Ankiweb on TypingMind?

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

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

Which AI models can use Pp Ankiweb?

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 Ankiweb?

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

Is the Pp Ankiweb 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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