Release Local

Community

MaxGfeller

release-local

Run the local maintainer release flow for this Changesets-based pnpm monorepo.

Overview

Publisher	MaxGfeller
Repository	`open-harness`
Skill name	`release-local`
Stars	616
Forks	101
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 MaxGfeller on GitHub. Read the source before you install it.

Installation

Install the Release Local AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/MaxGfeller/open-harness/tree/main/.agents/skills/release-local
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.

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/MaxGfeller/open-harness.git /tmp/open-harness
mkdir -p .claude/skills
cp -r /tmp/open-harness/.agents/skills/release-local .claude/skills/release-local

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Release Local 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 Release Local 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 Release Local 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.

Run the release workflow from RELEASING.md.

Guardrails:

Only run this on main unless the user explicitly wants a dry run elsewhere.
Require a clean worktree before versioning or publishing.
Ask for confirmation before creating the release commit.
Ask for confirmation again before starting pnpm release:publish, because it publishes to npm, pushes the branch and tags to GitHub, and may require npm OTP entry.

Workflow:

Run pnpm release:status and confirm there are pending changesets.
Run pnpm version-packages.
Review the generated version bumps and changelog entries with the user.
Commit the release files with Release packages unless the user requests a different message.
Run pnpm release:publish.
Confirm that npm publish succeeded and that GitHub Releases were created or updated for the tags on HEAD.
If npm publish succeeded but GitHub release creation failed, rerun pnpm release:github after fixing the blocker.

If publish fails because of npm auth, OTP, or missing release notes, stop, report the exact blocker, and do not keep mutating the repo.

Frequently asked questions

What does the Release Local AI skill do?

Run the local maintainer release flow for this Changesets-based pnpm monorepo.

Why use Release Local on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MaxGfeller/open-harness/tree/main/.agents/skills/release-local. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Release Local?

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 Release Local?

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

Is the Release Local AI skill free?

Yes. It is published on GitHub by MaxGfeller 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.

View all

Release Openclaw Maintainer

openclaw

OrganizationPopular

Prepare, publish, recover, or verify OpenClaw beta, stable, and extended-stable releases, including approved backports.

Release Openclaw Plugin Testing

openclaw

OrganizationPopular

Plan and run pre-release OpenClaw plugin validation across bundled plugins, package artifacts, lifecycle commands, doctor/fix, config round-trip, gateway startup, SDK compatibility, Docker E2E,…

Solid

Write, port, review, or test Solid 2 UI in OpenClaw (Control UI, plugin views, Canvas hosts), including state ownership, Lit interop during the migration, native overlays, testing, performance, and…

Auto Qa

Run OpenClaw-wide autonomous QA and live/stress campaigns across independent subsystem lanes, with verified fixes and a resumable evidence report.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Frequently asked questions

Related AI Skills

Set up your own AI workspace now