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Omh Mobile Release

CommunityPopular
rlaope
omh-mobile-release

[omh] Releasing an iOS or Android app through the stores -- signing, the privacy manifest, a TestFlight or Play beta, a staged rollout, a hotfix: prepare each gate the store enforces, and plan the halt and the next build before the rollout starts, because a store release cannot be rolled back. Use when the user says: mobile-release, mobile release, mobile app release, ios release, android release, app store release, app store submission, submit to the app store.

Overview

Publisherrlaope
Repositoryoh-my-hermes
Skill nameomh-mobile-release
Stars
3.6K
Forks
269
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by rlaope on GitHub. Read the source before you install it.

Installation

Install the Omh Mobile Release 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/rlaope/oh-my-hermes/tree/main/agent-skills/omh-mobile-release
  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/rlaope/oh-my-hermes.git /tmp/oh-my-hermes
mkdir -p .claude/skills
cp -r /tmp/oh-my-hermes/agent-skills/omh-mobile-release .claude/skills/omh-mobile-release
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Omh Mobile Release 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 Omh Mobile Release 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 Omh Mobile Release 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.

Mobile Release

This is an OMH mobile-release workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).

Why This Exists

mobile-release exists because store releases had no owner: release-cut decides a service release that can roll back, deploy-and-monitor watches a deploy, and production-audit audits readiness platform-neutrally, while signing, a privacy manifest, a TestFlight beta or a Play staged rollout had nothing that knew the store's gates.

First Steps

  • Ask which platforms, which version and build number, and how signing is held today.
  • Ask what halts the rollout, before planning any rollout step.

Do Not Use When

  • The ask is a versioned release of a service or library -- what goes in, the tag, a canary, the rollback command; use omh-release-cut.
  • A web or backend deploy is already out and the ask is watching its health; use omh-deploy-and-monitor.
  • The ask is a readiness audit across observability, security, and operations before launch; use omh-production-audit.
  • The app crashes or misbehaves and the ask is finding the cause in the code; use omh-app-debugging.

Examples

Good example:

  • Prompt: we are shipping 3.2 to the app store and google play next week
  • Expected behavior: Check the signing assets' expiry, compare the privacy manifest and data safety form against the shipped SDKs, run the TestFlight and Play closed-track beta, then roll out in phases with crash-free and ANR halt thresholds and the 3.2.1 build number reserved for a hotfix.
  • Why: A store build cannot be pulled back, so the halt and the replacement have to exist before the first user gets it.

Bad example:

  • Prompt: just release to 100% and roll back if it crashes
  • Expected behavior: Refuse the full release: a store build cannot be rolled back; stage it behind halt thresholds and reserve the hotfix build first.
  • Why: Users keep the crashing build until a new one is reviewed and installed.

Completion Checklist

  • Every signing asset is named with its expiry and holder, and no secret is in the plan.
  • The privacy declarations match the shipped SDKs, or each mismatch is named.
  • The beta channel, its testers, and its exit checks are stated.
  • Every rollout step names the threshold that halts it.
  • The hotfix build number and the halt are planned, and OMH submitted nothing.

Recovery Notes

  • If a signing certificate or upload key is lost or expired, recovering it is the first step; say so before any submission plan.
  • If the crash figures are not observable yet, hold the rollout at its current step and mark the threshold unverified.

When to Use

Use when an iOS or Android app is being released through the App Store or Google Play: code signing and provisioning, the iOS privacy manifest or the Play data safety form, a TestFlight or Play testing-track beta, a phased or staged rollout, or a hotfix for a build already in users' hands. The output is the signing plan, the privacy declaration check, the beta plan, the staged rollout with its halt thresholds, and the hotfix plan; OMH builds, signs, uploads and submits nothing.

Strong routing signals: `mobile-release`, `mobile release`, `mobile app release`, `ios release`, `android release`, `app store release`, `app store submission`, `submit to the app store`, `app store review`, `app store connect`, `testflight`, `play store`, `play store release`, `google play`, `play console`, `internal testing track`, `closed testing track`, `phased release`, `code signing`, `provisioning profile`, `signing certificate`, `distribution certificate`, `android keystore`, `upload keystore`, `upload key`, `play app signing`, `privacy manifest`, `privacyinfo.xcprivacy`, `required reason api`, `data safety form`, `expedited review`, `fastlane`

Catalog Metadata

Category: planning Phase: mobile-release Quality tier: store-gate-halt-planned Reasoning demand: standard

Quality bar:

  • Name the halt and the replacement build before any rollout step.
  • Load references/mobile-release-method.md for the per-platform signing, privacy, beta, rollout and hotfix table instead of recalling store rules.
  • Check the privacy declarations against the SDK list the build actually ships, not the one in the plan.
  • Keep iOS and Android steps separate wherever the stores differ.
  • Keep prepared, submitted, approved, and released as separate states for every build.

Required inputs:

  • the platforms, the app's bundle or package id, and the version and build number going out
  • how signing is set up today: certificates, provisioning profiles, the keystore or upload key, and who holds them
  • the SDKs the build ships, for the privacy manifest and the data safety form
  • the beta channel and testers, and what they must verify before the rollout
  • the crash-free and ANR figures the rollout will be judged on, observed from the consoles or crash reporting

Expected outputs:

  • signing_plan/v1
  • privacy_declaration_check/v1
  • beta_channel_plan/v1
  • staged_rollout_plan/v1
  • hotfix_plan/v1

Artifact expectations:

  • signing_plan/v1 names each certificate, provisioning profile, keystore, and upload key with its expiry and where it is held, and never contains the secret itself
  • privacy_declaration_check/v1 compares the iOS privacy manifest's required-reason APIs and the Play data safety form against every SDK the build ships, and names each mismatch
  • beta_channel_plan/v1 names the TestFlight group or Play testing track, whether it needs beta review, the testers, and the checks that must pass before the rollout
  • staged_rollout_plan/v1 lists the rollout steps (App Store phased release or Play staged percentages) with the crash-free and ANR thresholds that halt each step
  • hotfix_plan/v1 halts the bad rollout, names the higher build number that replaces it, whether to request an expedited review, and any server-side flag that contains the damage first

Safety rules:

  • A store release cannot be rolled back; plan the halt and the next build number before the rollout starts.
  • Never commit or paste a signing key, keystore, certificate, or provisioning secret; name where it lives and who holds it.
  • Do not submit a build whose privacy manifest or data safety form disagrees with the SDKs it ships.
  • Advance a staged rollout only on observed crash-free and ANR figures; a prepared threshold is not a passed one.
  • OMH never builds, signs, uploads, or submits; every build number, review outcome, and rollout figure comes from observed output or is marked unverified.

Runtime Evidence

Use the current host's own tools and subagent/task mechanism when available; otherwise run the same lanes sequentially or name the unavailable capability. A prepared plan, handoff, checklist, or skill installation is not execution, review, CI, merge-readiness, or merge evidence. Record actual tool results, or not_observed / not_available, in the record; never invent dispatch or host accounting. Treat supplied context as advisory, not proof of hidden memory reads or writes. State scope, constraints, verification, and the stop condition before work. Reply in the user's own words and the host's own voice: the host's persona owns reply language, tone, speech level, and sentence endings, progress updates included (where it sets no language, use the one the user wrote in), and OMH shapes structure and content only; OMH's record terms (surface, lane, wrapper, handoff, evidence boundary, not_observed) stay in records and tool calls, never in the sentence the user reads unless they ask about one; and when a real unresolved user decision or a useful briefing discussion remains, offer one specific, content-linked question. Completed work needs no question; omit unrelated non-action footers and generic offers to continue. Supporting paths are relative to this skill directory; sibling skill paths are relative to its parent. Resolve them from the host-provided skill base directory ({baseDir} on hosts that provide it), never a hardcoded install location. A named workflow not installed here is unavailable, not permission to emulate its host-specific capabilities. Verify through the real surface before done.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Omh Mobile Release AI skill do?

[omh] Releasing an iOS or Android app through the stores -- signing, the privacy manifest, a TestFlight or Play beta, a staged rollout, a hotfix: prepare each gate the store enforces, and plan the halt and the next build before the rollout starts, because a store release cannot be rolled back. Use when the user says: mobile-release, mobile release, mobile app release, ios release, android release, app store release, app store submission, submit to the app store.

Why use Omh Mobile Release on TypingMind?

Because you install it once and use it with any model. Omh Mobile Release 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 Omh Mobile Release in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rlaope/oh-my-hermes/tree/main/agent-skills/omh-mobile-release. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Omh Mobile Release?

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 Omh Mobile Release?

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

Is the Omh Mobile Release AI skill free?

Yes. It is published on GitHub by rlaope 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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