Ops Release logo

Ops Release

Organization
Lifecycle-Innovations-Limited
ops-release

OPS on-demand: This skill should be used when the user asks to "release the plugin", "publish ops…

Overview

PublisherLifecycle-Innovations-Limited
Repositoryclaude-ops
Skill nameops-release
Stars
543
Forks
64
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 Lifecycle-Innovations-Limited on GitHub. Read the source before you install it.

Installation

Install the Ops 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/Lifecycle-Innovations-Limited/claude-ops/tree/main/claude-ops/skills/ops-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/Lifecycle-Innovations-Limited/claude-ops.git /tmp/claude-ops
mkdir -p .claude/skills
cp -r /tmp/claude-ops/claude-ops/skills/ops-release .claude/skills/ops-release
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ops 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 Ops 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 Ops 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.

OPS ► RELEASE — one-command plugin publish

Load ops-rules before acting. Public repo (no personal data). Outbound: one draft → one approval → one send. If AskUserQuestion / Workflow are missing, follow Rule 10 in ops-rules (Hermes: numbered options / two-turn Telegram card; delegate_task).

Cuts a new published version of the claude-ops plugin: bumps the version in the three manifests, writes the CHANGELOG, opens a release PR, waits for CI, merges it to main, and pushes the vX.Y.Z tag. After it runs, /ops:ops-update pulls the new version down to the box.

ops-release ships it · /ops:ops-update pulls it. Order: merge your fix PR → /ops:ops-release → /ops:ops-update.

⚠️ Run it from the REPO CHECKOUT, not the cache

bin/ops-release resolves its targets relative to its own location: PLUGIN_DIR = <bin>/.., REPO_ROOT = <bin>/../.., and it needs REPO_ROOT/.claude-plugin/marketplace.json. The plugin cache (~/.claude/plugins/cache/ops-marketplace/ops/<ver>/bin/ops-release) has no marketplace.json above it, so running the cache copy fails with not found: …/.claude-plugin/marketplace.json. Always run the copy inside a git checkout of the repo (the dir that has both .claude-plugin/marketplace.json and claude-ops/bin/ops-release).

Resolve it first:

bash
RELEASE=""
for d in ~/Developer/repos/claude-ops ~/Projects/claude-ops-workspace/claude-ops ~/Projects/claude-ops/claude-ops "$HOME"/Projects/*/claude-ops; do
  if [ -f "$d/.claude-plugin/marketplace.json" ] && [ -x "$d/claude-ops/bin/ops-release" ]; then
    RELEASE="$d/claude-ops/bin/ops-release"; REPO="$d"; break
  fi
done
[ -n "$RELEASE" ] || { echo "no claude-ops checkout with marketplace.json found — clone the repo first"; exit 1; }
echo "using: $RELEASE  (repo: $REPO)"

Make sure the checkout's main is up to date and includes the fix you want to publish before releasing (git -C "$REPO" fetch origin && git -C "$REPO" checkout main && git -C "$REPO" pull --ff-only). The release branches from origin/main, so anything not yet on origin/main will NOT be in the release.

How to run it

Steps 3–5 are outward-facing + hard to reverse (open PR → CI-gated squash-merge to main → push a public vX.Y.Z tag), so always dry-run first, show the plan, confirm, then apply (Rule 5).

1. Dry-run and show the plan

bash
"$RELEASE" --type patch --notes "<one-line changelog body>" --dry-run

Present the output: current → target version, which 3 manifests get bumped, the CHANGELOG block, and that it will branch release/vX.Y.Z → PR → wait for CI → merge → tag. Pick the bump type from the change: bug/patch fix → --type patch; new backward-compatible feature → --type minor; breaking change → --type major (or pin exactly with --version X.Y.Z).

2. Confirm

Use AskUserQuestion before applying:

Publish claude-ops <CUR> → <NEW>?  (bumps 3 manifests + CHANGELOG, opens PR, waits for CI, merges to main, tags v<NEW>)
  [Publish release]
  [Dry-run only]
  [Cancel]

3. Apply

bash
"$RELEASE" --type patch --notes "<one-line changelog body>"

Stream the step-by-step output. On success it prints the PR URL, the merge, and the tag. Surface the final line verbatim and then tell the user to pull it down:

Released v. Run /ops:ops-update to pull it onto this box.

Flags

FlagEffect
--type patch|minor|majorSemver bump from the current version (default patch).
--version X.Y.ZSet an exact target version instead of bumping.
--notes "…"Markdown body prepended to the CHANGELOG under the new version. Quote it. Overrides the AI changelog.
--no-aiSkip AI changelog synthesis; fall back to commit subjects under ### Changed.
--no-docsSkip the ops-sync-docs count/badge reconciliation step.
--no-wikiSkip syncing the GitHub wiki (counts/version + Release-Notes entry).
--dry-runReport only; change nothing (still previews the AI changelog). Always run this first.
--no-mergeOpen the release PR but do not merge it (leave for manual review).
--no-tagSkip pushing the vX.Y.Z tag.

What it touches

  1. claude-ops/.claude-plugin/plugin.json — .version
  2. .claude-plugin/marketplace.json (repo root) — .plugins[name==ops].version
  3. claude-ops/package.json — .version (if present)
  4. claude-ops/CHANGELOG.md — prepends a ## [X.Y.Z] - <date> block. By default the body is AI-synthesized from the commit range in Keep a Changelog style (### Added/Changed/Fixed/Removed); --notes overrides it, --no-ai falls back to commit subjects.
  5. Docs counts — runs bin/ops-sync-docs, which reconciles every skill/agent count, shields.io badge, and version badge across plugin.json, marketplace.json, the READMEs, and docs/*-reference.md to the real tree. Deterministic and idempotent; never touches historical "up from X/Y" prose. Skip with --no-docs. (Run bin/ops-sync-docs standalone any time you add or remove a skill/agent.)
  6. GitHub wiki — after merge+tag, clones the wiki, syncs its counts/version, and prepends a Release-Notes.md entry for the new version. Skip with --no-wiki.

It works inside an isolated worktree ($REPO_ROOT/.worktrees/release/vX.Y.Z, branched from origin/main), so a dirty main checkout never leaks unrelated WIP into the release commit. The worktree is removed on exit.

The run outlives an agent's foreground timeout — check before re-running

A full release takes longer than a Hermes/agent foreground terminal call allows (~7 min hard kill regardless of the requested timeout). When the call dies, the script has usually already branched, pushed, opened the PR, waited for CI and merged — you just never saw the output. Verified 2026-09-05: the timeout fired, and a blind retry opened a duplicate release PR (#923) alongside the script's own already-merged #922.

Before doing anything after a timeout, read the live state:

bash
gh pr list --state merged --limit 5 --json number,title,headRefName
git fetch --tags origin && git ls-remote --tags origin "v$NEW"
git show origin/main:claude-ops/.claude-plugin/plugin.json | head -3

Then finish only what is genuinely missing:

  • PR merged, version on origin/main, tag absent → the script died between merge and tag. Tag the merge commit yourself: git tag -a vX.Y.Z <merge-sha> -m "vX.Y.Z" && git push origin vX.Y.Z.
  • PR still open → let it finish, do not open a second one.
  • Nothing pushed → re-run the release.

If you did open a duplicate, close it referencing the real one and delete the remote branch it shares — both PRs point at the same release/vX.Y.Z head, so deleting that branch after the real merge is what cleans up.

Better: run the apply step with background=true, notify=true instead of a foreground call, and let the completion notification carry the output.

Mobile / SSH (Rule 7)

The bin auto-detects a non-TTY and drops colour; its output is already line-per-fact, so relay it as-is — no tables, no banners.

Notes

  • PRs target main (claude-ops convention). The helper waits for the five product CI checks plus any other reported checks to finish, then squash-merges without bypassing them.
  • Publish ≠ deploy to the box. The running session won't see the new version until /ops:ops-update (pull) + /reload-plugins (load).
  • Sibling: /ops:ops-update (pull a published version locally + prune/rewrite).

Frequently asked questions

What does the Ops Release AI skill do?

OPS on-demand: This skill should be used when the user asks to "release the plugin", "publish ops…

Why use Ops Release on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Lifecycle-Innovations-Limited/claude-ops/tree/main/claude-ops/skills/ops-release. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ops 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 Ops Release?

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

Is the Ops Release AI skill free?

Yes. It is published on GitHub by Lifecycle-Innovations-Limited 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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