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Version Bump

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thedotmack
version-bump

Automated semantic versioning and release workflow for Claude Code plugins. Handles version increments across package.json, marketplace.json, plugin.json manifests, build verification, git tagging, GitHub releases, and changelog generation. NPM publishing is the final human-required handoff because the maintainer raised npm security.

Overview

Publisherthedotmack
Repositoryclaude-mem
Skill nameversion-bump
Stars
94.1K
Forks
8.3K
Bundled files
1
LicenseApache-2.0
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 thedotmack on GitHub. Read the source before you install it.

Installation

Install the Version Bump 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.
  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/thedotmack/claude-mem.git /tmp/claude-mem
mkdir -p .claude/skills
cp -r /tmp/claude-mem/plugin/skills/version-bump .claude/skills/version-bump
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Version Bump 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 Version Bump 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 Version Bump 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.

Version Bump & Release Workflow

IMPORTANT: Plan and write detailed release notes before starting.

CRITICAL: Commit EVERYTHING (including build artifacts). At the end of this workflow, NOTHING should be left uncommitted or unpushed. Run git status at the end to verify.

Preparation

  1. Analyze: Determine if the change is PATCH (bug fixes), MINOR (features), or MAJOR (breaking).

  2. Environment: Identify repository owner/name from git remote -v.

  3. Paths — every file that carries the version string:

    • package.jsonthe npm/npx-published version (npx claude-mem@X.Y.Z resolves from this)
    • plugin/package.json — bundled plugin runtime deps
    • .claude-plugin/marketplace.json — version inside plugins[0].version
    • .claude-plugin/plugin.json — top-level Claude-plugin manifest
    • plugin/.claude-plugin/plugin.json — bundled Claude-plugin manifest
    • .codex-plugin/plugin.json — Codex-plugin manifest
    • plugin/.codex-plugin/plugin.json — bundled Codex-plugin manifest
    • openclaw/openclaw.plugin.json — OpenClaw plugin manifest

    Verify coverage before editing: git grep -l "\"version\": \"<OLD>\"" should list all eight. If a new manifest has been added since this doc was last updated, update this list.

Workflow

  1. Update: Increment the version string in every path above. Do NOT touch CHANGELOG.md — it's regenerated.

  2. Verify: git grep -n "\"version\": \"<NEW>\"" — confirm all eight files match. git grep -n "\"version\": \"<OLD>\"" — should return zero hits.

  3. Build and sync: npm run build-and-sync to regenerate artifacts, sync the local marketplace copy, restart the worker, and clear the queue. Do not use plain npm run build for release validation because it can leave the local marketplace/worker out of sync.

  4. Commit: git add -A && git commit -m "chore: bump version to X.Y.Z".

  5. Tag: git tag -a vX.Y.Z -m "Version X.Y.Z".

  6. Push: git push origin main && git push origin vX.Y.Z.

  7. GitHub release: gh release create vX.Y.Z --title "vX.Y.Z" --notes "RELEASE_NOTES".

  8. Changelog: Regenerate via the project's changelog script:

    bash
    npm run changelog:generate

    (Runs node scripts/generate-changelog.js, which pulls releases from the GitHub API and rewrites CHANGELOG.md.)

  9. Sync changelog: Commit and push the updated CHANGELOG.md.

  10. Pre-handoff audit: Verify the release commit, tag, GitHub release, and changelog are pushed; confirm the release worktree has no pending tracked changes; and ensure its build dependencies are present because prepublishOnly rebuilds the package. If npm view claude-mem@X.Y.Z version already resolves, skip the handoff and continue with post-publish checks.

  11. Final human handoff — publish to npm. Do not stop in the middle of the workflow for npm. Finish every agent-owned preparation above first, then make this the final human-required action.

    The human maintainer's credentials/2FA are required. The agent MUST NOT run npm publish (or np / npm run release:*, which also publish). Give the exact release-worktree path and this command as the only requested action:

    bash
    npm publish   # run by the HUMAN — prepublishOnly rebuilds the package

    Wait for confirmation. Do not ask the human to perform any other release step afterward.

  12. Post-publish verification and notification: After confirmation, verify both the exact version and the latest dist-tag:

    bash
    npm view claude-mem@X.Y.Z version
    npm view claude-mem version

    If the publish build touched tracked artifacts, run npm run build-and-sync, review the result, and commit/push any legitimate changes. Then run the Discord notification from ~/Scripts/claude-mem/, where the .env with webhook details lives:

    bash
    cd ~/Scripts/claude-mem/ && npm run discord:notify vX.Y.Z

    Do this only after npm verification, and even when the release worktree does not have a local .env.

  13. Finalize: git status — working tree must be clean and everything must be pushed. Only automated verification, notification, and cleanup may occur after the final human handoff.

Checklist

  • All eight config files have matching versions
  • git grep for old version returns zero hits
  • npm run build-and-sync succeeded
  • Git tag created and pushed
  • GitHub release created with notes
  • CHANGELOG.md updated and pushed
  • Pre-handoff audit passed; no agent-owned release preparation remains
  • NPM publishing handed off as the final human-required action (agent does NOT run it)
  • Exact npm version and latest both verified after the human publishes
  • Discord notification run from ~/Scripts/claude-mem/ only after npm verification
  • git status shows clean tree

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 Version Bump AI skill do?

Automated semantic versioning and release workflow for Claude Code plugins. Handles version increments across package.json, marketplace.json, plugin.json manifests, build verification, git tagging, GitHub releases, and changelog generation. NPM publishing is the final human-required handoff because the maintainer raised npm security.

Why use Version Bump on TypingMind?

Because you install it once and use it with any model. Version Bump 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 Version Bump in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thedotmack/claude-mem/tree/main/plugin/skills/version-bump. 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 Version Bump?

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 Version Bump?

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

Is the Version Bump AI skill free?

Yes. It is published on GitHub by thedotmack under the Apache-2.0 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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