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Omh Release Cut

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rlaope
omh-release-cut

[omh] Shipping a versioned release -- tag it, stage it behind a canary, or roll back the last deploy: decide what goes in, the version, the rollout stages, and a rollback with its trigger and exact command before it is needed. Use when the user says: release-cut, release cut, cut a release, cut the release, cut a new release, tag a release, tag the release, release candidate.

Overview

Publisherrlaope
Repositoryoh-my-hermes
Skill nameomh-release-cut
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 Release Cut 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-release-cut
  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-release-cut .claude/skills/omh-release-cut
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Omh Release Cut 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 Release Cut 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 Release Cut 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.

Release Cut

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

Why This Exists

release-cut exists because nothing owned deciding a release: deploy-and-monitor watches a rollout that is already happening, and a cut, a canary, or a rollback decision reached an image card or a watch lane with no rollback trigger at all.

First Steps

  • State what goes in, what is held back, and the version before proposing the cut.
  • Name the rollback trigger and its exact command before the first stage ships.

Do Not Use When

  • The rollout is already running and the ask is watching its health signals and post-deploy status; use omh-deploy-and-monitor.
  • Production is down or degraded and the work is commanding the incident; use omh-live-incident-response.
  • The ask is a readiness audit across observability, security, and operations before launch; use omh-production-audit.
  • The ask is drafting the commit message or the pull request description for a change; use omh-commit-pr-authoring.
  • The app ships through the App Store or Google Play -- signing, a TestFlight or Play testing-track beta, a phased release, a store hotfix; use omh-mobile-release.

Examples

Good example:

  • Prompt: cut a release and tag it
  • Expected behavior: List what goes in and what is held, derive the version, and prepare release_plan/v1: freeze, bump every version surface, tag, run the release workflow, pass its approval, publish, and curate notes, with rollback_trigger/v1 naming the signal, the threshold, and the exact command.
  • Why: A release whose rollback is decided during the outage is a release with no rollback.

Bad example:

  • Prompt: ship it, we will figure out rollback if something breaks
  • Expected behavior: Keep the plan not ready, name the missing rollback trigger and command, and ask who runs it.
  • Why: The rollback decision made under pressure is the one most likely to be wrong.

Completion Checklist

  • The contents, the held items, and the version are stated.
  • Every rollout stage has a traffic share, a bake time, and a promotion criterion.
  • The rollback trigger names a signal, a threshold, and the exact command.
  • The readiness verdict is ready only when the trigger and the command are named.
  • Nothing was tagged, published, deployed, or rolled back by OMH.

Recovery Notes

  • If the release mechanism is unknown, ask for the workflow or command and every version surface it bumps before proposing a cut.
  • If there is no traffic split, stage by environment or by cohort and say that the canary is coarse.

When to Use

Use when a release is being decided or undone: what goes into it, its version, how it is tagged and published, how it rolls out in stages behind a canary, or rolling back a deploy that already shipped. The output is a release plan whose rollback has a named trigger and the exact command that performs it; OMH prepares, and the host or CI executes.

Strong routing signals: `release-cut`, `release cut`, `cut a release`, `cut the release`, `cut a new release`, `tag a release`, `tag the release`, `release candidate`, `what goes in the release`, `version the release`, `semver bump`, `roll back the last deploy`, `roll back the deploy`, `roll back the release`, `roll back to the previous version`, `rollback trigger`, `rollback command`, `canary`, `canary release`, `canary deploy`, `set up a canary`, `staged rollout`, `progressive rollout`, `percentage rollout`

Catalog Metadata

Category: planning Phase: release-cut Quality tier: rollback-trigger-gated Reasoning demand: standard

Quality bar:

  • Derive the version from the change classes, not from a feeling about size.
  • Load references/release-and-rollback-method.md for the cut sequence, the rollout stage table, and rollback by mechanism instead of recalling them.
  • Give every rollout stage a promotion criterion read from a signal, not a clock alone.
  • Name the rollback trigger as a signal, a threshold, and a window, and the command as the literal command line.
  • Keep prepared, dispatched, observed, and published as separate states for every step.

Required inputs:

  • the changes since the last release, and the current version and versioning scheme
  • how a release is cut here: the workflow or command, the approval gates, and every version surface it bumps
  • the deploy target, the traffic split available, and the health signals with their normal range
  • the rollback mechanism: redeploy of the previous artifact, a flag, or a revert, and who may run it
  • observed evidence for any published, promoted, or rolled-back claim

Expected outputs:

  • release_scope/v1
  • release_plan/v1
  • rollout_stages/v1 when the release is staged
  • rollback_trigger/v1
  • release_readiness_verdict/v1

Artifact expectations:

  • release_scope/v1 lists what goes in and what is held back, and derives the version from the change classes: a breaking change, a feature, or a fix
  • release_plan/v1 orders the cut: freeze the release branch, bump every version surface, tag, run the release workflow, pass its approval gate, publish, and curate the notes
  • rollout_stages/v1 gives each stage its traffic share, its bake time, and the promotion criterion read from a named health signal
  • rollback_trigger/v1 names the signal and threshold that trigger the rollback, the exact command that performs it, and who runs it
  • release_readiness_verdict/v1 reads ready only when a named rollback trigger and its exact command are stated; otherwise it names what is missing

Safety rules:

  • A release plan cannot be ready without a named rollback trigger and the exact command that performs it; release_readiness_verdict/v1 names what is missing instead.
  • Decide the rollback before the release: the trigger, the threshold, the command, and the person who runs it are written down before the first stage ships.
  • Nothing merges to the release branch between starting a cut and its tag push; a merge in that window breaks the atomic push of the bump and the tag.
  • OMH never tags, publishes, deploys, approves, or rolls back; a prepared plan is never a cut release or a performed rollback.
  • A rollback that crosses a database migration or a published package names what cannot be undone and how it is contained.

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 Release Cut AI skill do?

[omh] Shipping a versioned release -- tag it, stage it behind a canary, or roll back the last deploy: decide what goes in, the version, the rollout stages, and a rollback with its trigger and exact command before it is needed. Use when the user says: release-cut, release cut, cut a release, cut the release, cut a new release, tag a release, tag the release, release candidate.

Why use Omh Release Cut on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rlaope/oh-my-hermes/tree/main/agent-skills/omh-release-cut. 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 Release Cut?

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 Release Cut?

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

Is the Omh Release Cut 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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