Asc Ad Hoc Distribution logo

Asc Ad Hoc Distribution

OrganizationPopular
rorkai
asc-ad-hoc-distribution

Prepare, publish, resume, and verify private iOS release-testing installs with asc distribute. Use when distributing an IPA to registered devices outside TestFlight, reconciling ad hoc profiles, publishing through caller-owned S3-compatible storage, or diagnosing a resumable private distribution run.

Overview

Publisherrorkai
Repositoryapp-store-connect-cli-skills
Skill nameasc-ad-hoc-distribution
Stars
1K
Forks
63
Bundled files
Instructions only
LicenseMIT
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 rorkai on GitHub. Read the source before you install it.

Installation

Install the Asc Ad Hoc Distribution 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.
    https://github.com/rorkai/app-store-connect-cli-skills/tree/main/skills/asc-ad-hoc-distribution
  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/rorkai/app-store-connect-cli-skills.git /tmp/app-store-connect-cli-skills
mkdir -p .claude/skills
cp -r /tmp/app-store-connect-cli-skills/skills/asc-ad-hoc-distribution .claude/skills/asc-ad-hoc-distribution
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Asc Ad Hoc Distribution 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 Asc Ad Hoc Distribution 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 Asc Ad Hoc Distribution 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.

ASC ad hoc distribution

Use the experimental asc distribute workflow to turn an existing iOS archive into a private, verified install link for registered devices. Use TestFlight or the App Store release skills instead when the build should go through Apple-hosted distribution.

Confirm the installed contract before acting:

bash
asc distribute --help
asc distribute plan --help
asc distribute apply --help
asc distribute resume --help
asc distribute status --help
asc distribute verify --help

Choose the workflow

  • Use plan -> apply -> resume/status -> verify for an end-to-end, hash-authorized run starting from an .xcarchive.
  • Use inspect -> prepare -> publish only when the caller already owns the ad hoc IPA and wants to operate the lower-level boundaries separately.

Guardrails

  • Treat the distribution spec, devices file, PKCS#12 identity, password file, run state, and exact install-link artifact as private. Keep them out of Git and require owner-only permissions.
  • Never put S3 credentials or presigned URLs in the distribution spec, command output, logs, issues, or chat. Use ASC_S3_ACCESS_KEY_ID, ASC_S3_SECRET_ACCESS_KEY, and optional ASC_S3_SESSION_TOKEN, or the standard AWS SDK credential chain.
  • plan is read-only and may exit successfully with ready: false. Inspect the typed blockers and effects before continuing.
  • apply can register missing devices, create safe App IDs and successor ad hoc profiles, write local artifacts, and publish immutable objects. Run it only after the user authorizes the exact plan hash and effect inventory.
  • The orchestrated workflow supports private access to an existing S3-compatible bucket. It does not create buckets, change policies, delete old builds, install the app, or launch it.
  • Input drift, an immutable-object conflict, expired signing material, or an expired private link requires a new plan. Do not force the old run forward.

Preconditions

  • An existing iOS .xcarchive with one main app target. Embedded apps, extensions, Watch apps, and App Clips make the v1 plan not ready.
  • A local iOS distribution PKCS#12 identity and optional protected password file.
  • A protected strict-v1 devices file. For example:
json
{"schemaVersion":1,"devices":[{"name":"Test iPhone","udid":"DEVICE_UDID","platform":"IOS"}]}
  • App Store Connect authentication with access to devices, Bundle IDs, certificates, and profiles.
  • An existing S3-compatible bucket and valid credentials.

1. Create the private distribution spec

Relative paths resolve from the spec directory. The spec does not interpolate environment variables or accept credentials. A representative private config is:

json
{
  "schemaVersion": 1,
  "devicesFile": "devices.json",
  "signing": {
    "identity": {
      "format": "pkcs12",
      "path": "../signing/distribution.p12",
      "passwordFile": "../secrets/distribution-p12-password"
    },
    "minimumValidityDays": 7,
    "maxMutations": 32
  },
  "publication": {
    "endpoint": "https://objects.example.com",
    "downloadEndpoint": "https://downloads.example.com",
    "region": "auto",
    "bucket": "ios-builds",
    "prefix": "team/app",
    "addressingStyle": "path",
    "urlTtl": "24h",
    "downloadGrace": "1h",
    "verifyTimeout": "30s"
  },
  "metadata": {
    "title": "App",
    "channel": "pull-request-42",
    "sourceRevision": "abc123",
    "sourceUrl": "https://example.com/team/app/commit/abc123"
  }
}

passwordFile, certificateSha256, downloadEndpoint, and every metadata field are optional. An omitted password file means the PKCS#12 must use an empty password. Protect the config and secret inputs before planning:

bash
chmod 600 ".asc/distribution/config.json" ".asc/distribution/devices.json"
chmod 600 ".asc/signing/distribution.p12" ".asc/secrets/distribution-p12-password"

2. Plan without mutation

bash
asc distribute plan \
  --archive-path ".asc/artifacts/App.xcarchive" \
  --config ".asc/distribution/config.json" \
  --plan ".asc/distribution/plan.json" \
  --state-dir ".asc/distribution/runs" \
  --output json

Inspect ready, planHash, signing validity, destination, and the complete ordered effects inventory. Resolve blockers and create a new plan when ready is false. Do not infer readiness from exit code alone.

3. Apply the exact authorized plan

After approval of the exact effects, pass the full 64-character hash:

bash
PLAN_HASH="$(jq -er '.planHash' ".asc/distribution/plan.json")"
asc distribute apply \
  --plan ".asc/distribution/plan.json" \
  --confirm "$PLAN_HASH" \
  --output json

Missing, malformed, or unequal confirmation is rejected before side effects. Success means publication and live fetch verification completed; it does not mean a device installed or launched the app.

4. Inspect, resume, and verify

Use the returned runId:

bash
asc distribute status --run "RUN_ID" --state-dir ".asc/distribution/runs" --output json
asc distribute resume --run "RUN_ID" --state-dir ".asc/distribution/runs" --output json
asc distribute verify --run "RUN_ID" --state-dir ".asc/distribution/runs" --timeout 30s --output json

status is local-only and succeeds for running, recoverable, and blocked runs; branch on typed fields rather than prose. resume revalidates durable evidence before retrying and never blindly repeats a remote write. verify is read-only but performs live fetches. Add --device "DEVICE_SELECTOR" only when the user asks to observe the matching installed bundle, version, and build on a connected device; this observation does not prove IPA byte identity.

The exact private install URL is a bearer credential stored only in the owner-private link artifact reported by the completed run. Share it only with the intended tester through an approved private channel.

Lower-level IPA workflow

Use this lane when signing and export are already complete. Pass the exact bundleDir returned by prepare to publish:

bash
asc distribute inspect --ipa ".asc/artifacts/App.ipa" --output json
asc distribute prepare --ipa ".asc/artifacts/App.ipa" --channel "pull-request-42" --output json
asc distribute publish \
  --bundle-dir ".asc/distribution/com.example.app/1.2-42-IPA_SHA_PREFIX" \
  --endpoint "https://objects.example.com" \
  --region "auto" \
  --bucket "ios-builds" \
  --prefix "team/app" \
  --receipt ".asc/publishes/app-1.2-42.json" \
  --link-path ".asc/publishes/app-1.2-42-link.json" \
  --output json

inspect omits raw device UDIDs unless --include-devices is explicitly needed. prepare never overwrites a bundle and reuses only an exact equivalent. Private publish is the default and writes exact presigned links only to the mode-0600 link artifact. Public publication is a separate explicit lane using --access public --public-base-url; it assumes anonymous reads are already configured and never changes storage policy.

Frequently asked questions

What does the Asc Ad Hoc Distribution AI skill do?

Prepare, publish, resume, and verify private iOS release-testing installs with asc distribute. Use when distributing an IPA to registered devices outside TestFlight, reconciling ad hoc profiles, publishing through caller-owned S3-compatible storage, or diagnosing a resumable private distribution run.

Why use Asc Ad Hoc Distribution on TypingMind?

Because you install it once and use it with any model. Asc Ad Hoc Distribution 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 Asc Ad Hoc Distribution in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rorkai/app-store-connect-cli-skills/tree/main/skills/asc-ad-hoc-distribution. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Asc Ad Hoc Distribution?

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 Asc Ad Hoc Distribution?

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

Is the Asc Ad Hoc Distribution AI skill free?

Yes. It is published on GitHub by rorkai under the MIT 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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