Pp Apple Docs logo

Pp Apple Docs

CommunityPopular
mvanhorn
pp-apple-docs

Every Apple framework, indexed locally, with deprecation analysis and an MCP server no other Apple-docs tool has. Trigger phrases: `look up an Apple API`, `what's deprecated in iOS`, `find a SwiftUI symbol`, `port this from UIKit to SwiftUI`, `what changed at WWDC`, `use apple-docs`, `run apple-docs-pp-cli`.

Overview

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

Use it in TypingMind

Enable Pp Apple Docs 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 Apple Docs 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 Apple Docs 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.

Apple Developer Documentation — Printing Press CLI

Prerequisites: Install the CLI

This skill drives the apple-docs-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 apple-docs --cli-only
  2. Verify: apple-docs-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/developer-tools/apple-docs/cmd/apple-docs-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 this CLI when you need to read Apple's docs from a terminal, when an agent is grounding Swift code generation against current Apple APIs, when planning a platform migration (iPad → visionOS, AppKit → SwiftUI), or when authoring a 'what's deprecated in iOS N' guide. The local SQLite store unlocks queries — cross-framework grep, snapshot diff, deprecation cliff — that no online docs viewer offers.

Anti-triggers

Do not use this CLI for:

  • Do not use this CLI to author Apple ID or App Store Connect API calls — use a separate App Store Connect CLI for those.
  • Do not use this CLI as a Swift package manager — it reads docs, not source.
  • Do not use this CLI to fetch full WWDC video transcripts — it indexes WWDC references from doc pages but does not host video content.

Unique Capabilities

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

Agent-native plumbing

  • doc get — Project a 50KB+ DocC JSON page down to just the fields an agent actually needs — abstract, signature, platforms, or all three — saving context tokens on every lookup.

    Use this when an agent is grounding code generation against an Apple symbol and only needs the abstract + signature + platform floor, not the full discussion + see-also tree.

    bash
    apple-docs-pp-cli doc get 'swiftui/view/onappear(perform:)' --shape min --agent
  • bundle — Bundle a symbol's Markdown plus its depth-1 See-Also pages into a single token-budgeted blob, ready to paste into an agent prompt.

    Use when an agent needs a self-contained context blob about a symbol plus its closest relatives, without doing N round-trips and N JSON parses.

    bash
    apple-docs-pp-cli bundle 'swiftui/view/onappear(perform:)' --depth 1 --max-tokens 4000

Local state that compounds

  • port-to — For a symbol unavailable on a target platform, walk the See-Also / Replacement-Of graph until landing on an alternative that IS available there and is not itself deprecated.

    Use when porting code between Apple platforms (iPad → visionOS, AppKit → SwiftUI, deprecated → current) and you need the migration target, not just a similar-named API.

    bash
    apple-docs-pp-cli port-to visionOS uikit/uitableview --agent
  • snapshot diff — Diff two stored framework index snapshots and classify each delta as added, removed, deprecated, or likely-renamed (path-stem similarity).

    Use after every WWDC or dot-release to surface added/removed/deprecated symbols at the framework level.

    bash
    apple-docs-pp-cli snapshot diff swiftui --from 2025-06-09 --to 2026-05-28 --agent
  • deprecation-cliff — List every Apple API deprecated in a given platform version, grouped by framework and symbol kind, with the replacement-hint column joined from references.

    Use when planning a migration sprint or writing a 'what's deprecated this year' guide; the only way to get the full list in one shot.

    bash
    apple-docs-pp-cli deprecation-cliff --os iOS --version 18 --framework swiftui --agent
  • conformance — Walk a framework's relationshipsSections to enumerate concrete conformers of a protocol and the protocol's ancestors.

    Use when writing protocol-driven code (custom View, ObservableObject, Layout) and you need every concrete type that conforms.

    bash
    apple-docs-pp-cli conformance View --framework swiftui --agent
  • grep — Regex over every synced framework's symbols with filters on kind, target platform, and deprecation status.

    Use when you remember the shape of a symbol name but not where it lives, or when auditing API patterns across the whole Apple SDK.

    bash
    apple-docs-pp-cli grep onAppear --framework swiftui --json

Service-specific patterns

  • wwdc symbols — For a WWDC session ID, list every symbol whose doc page cites that session.

    Use after watching a WWDC session to enumerate every API it touched, or to find which session officially introduced an API you're working with.

    bash
    apple-docs-pp-cli wwdc symbols wwdc2024-10169 --agent

Command Reference

doc get — Fetch any documentation page (framework root, symbol, method, article) by path

  • apple-docs-pp-cli doc get <path> — Fetch a documentation page by path and return it in the shape your tool actually wants (raw DocC JSON, projected via --shape abstract|signature|platforms|min, or rendered as Markdown via --markdown). The path is the lowercase-slashed identifier under /documentation/, e.g. swiftui/view, swiftui/view/onappear(perform:), foundation/url/init(string:).

index — Fetch the full structured index of a framework (every symbol, in tree form)

  • apple-docs-pp-cli index <framework> — Fetch a framework's full hierarchical index. Useful for offline FTS sync. Indexes are large (500KB–2MB).

technologies — List every Apple framework and technology (Swift, SwiftUI, UIKit, etc.)

  • apple-docs-pp-cli technologies — Fetch the master technologies index — every Apple framework, grouped by topic.

Freshness Contract

This printed CLI owns bounded freshness only for registered store-backed read command paths. In --data-source auto mode, those paths check sync_state and may run a bounded refresh before reading local data. --data-source local never refreshes. --data-source live reads the API and does not mutate the local store. Set APPLE_DOCS_NO_AUTO_REFRESH=1 to skip the freshness hook without changing source selection.

Covered paths:

  • apple-docs-pp-cli technologies
  • apple-docs-pp-cli technologies get
  • apple-docs-pp-cli technologies list
  • apple-docs-pp-cli technologies search

When JSON output uses the generated provenance envelope, freshness metadata appears at meta.freshness. Treat it as current-cache freshness for the covered command path, not a guarantee of complete historical backfill or API-specific enrichment.

Finding the right command

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

bash
apple-docs-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 a symbol's iOS introduction version

bash
apple-docs-pp-cli doc get 'swiftui/view/onappear(perform:)' --shape platforms --agent --select platforms[].introducedAt

Returns just the platform-availability map — under 500 bytes vs 9KB for the full page.

List every concrete SwiftUI type that conforms to View

bash
apple-docs-pp-cli conformance View --framework swiftui --json --select symbol,kind

Walks the local relationshipsSections graph; impossible from any single Apple endpoint.

What changed in SwiftUI at this year's WWDC?

bash
apple-docs-pp-cli snapshot diff swiftui --from 2025-06-09 --to 2026-05-28 --classify --json

Classifies every delta as added / removed / deprecated / likely-renamed in one call.

Find the visionOS replacement for a UIKit symbol

bash
apple-docs-pp-cli port-to visionOS uikit/uitableview --agent

Walks See-Also and Replacement-Of edges until landing on a symbol available on visionOS.

Bundle a symbol's docs as agent context

bash
apple-docs-pp-cli bundle 'swiftui/view/onappear(perform:)' --depth 1 --max-tokens 4000

Markdown render of the symbol + every depth-1 See-Also page, truncated to a token budget.

Auth Setup

No auth required. The DocC JSON endpoints under https://developer.apple.com/tutorials/data/ are public and served by Apple's CDN.

Run apple-docs-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
    apple-docs-pp-cli doc get swiftui/view --agent --select abstract,declaration,platforms
  • 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:

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

Entries are stored locally at ~/.local/share/apple-docs-pp-cli/feedback.jsonl. They are never POSTed unless APPLE_DOCS_FEEDBACK_ENDPOINT is set AND either --send is passed or APPLE_DOCS_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.

apple-docs-pp-cli profile save briefing --json
apple-docs-pp-cli --profile briefing doc get swiftui/view
apple-docs-pp-cli profile list --json
apple-docs-pp-cli profile show briefing
apple-docs-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 apple-docs-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/developer-tools/apple-docs/cmd/apple-docs-pp-mcp@latest
  2. Register with Claude Code:
    bash
    claude mcp add apple-docs-pp-mcp -- apple-docs-pp-mcp
  3. Verify: claude mcp list

Direct Use

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

Frequently asked questions

What does the Pp Apple Docs AI skill do?

Every Apple framework, indexed locally, with deprecation analysis and an MCP server no other Apple-docs tool has. Trigger phrases: `look up an Apple API`, `what's deprecated in iOS`, `find a SwiftUI symbol`, `port this from UIKit to SwiftUI`, `what changed at WWDC`, `use apple-docs`, `run apple-docs-pp-cli`.

Why use Pp Apple Docs on TypingMind?

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

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

Which AI models can use Pp Apple Docs?

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 Apple Docs?

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

Is the Pp Apple Docs 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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