Deepchat Release logo

Deepchat Release

OrganizationPopular
ThinkInAIXYZ
deepchat-release

Prepare and publish DeepChat releases in this repository. Use when Codex needs to bump the app version, update CHANGELOG.md, keep release notes bilingual from v1.0.1 onward with English bullets first and Chinese bullets second, run release checks, create or update versioned release branches such as release/v1.0.1, continue a half-finished release, fast-forward main with the documented release flow, create or push version tags, or clean up release branches after publishing.

Overview

PublisherThinkInAIXYZ
Repositorydeepchat
Skill namedeepchat-release
Stars
6.4K
Forks
756
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Deepchat 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/ThinkInAIXYZ/deepchat/tree/dev/.agents/skills/deepchat-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/ThinkInAIXYZ/deepchat.git /tmp/deepchat
mkdir -p .claude/skills
cp -r /tmp/deepchat/.agents/skills/deepchat-release .claude/skills/deepchat-release
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Deepchat 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 Deepchat 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 Deepchat 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.

DeepChat Release

Overview

Follow the repository-specific DeepChat release process. Prepare release metadata on dev, keep CHANGELOG.md concise, and publish through the documented fast-forward flow instead of merge commits on main.

Start With Repo State

Inspect git state before changing anything:

  • Check the current branch and working tree.
  • Check whether release/<version> exists locally or on origin.
  • Check whether v<version> exists locally or on origin.

If a local or remote tag already exists on the wrong commit, stop and ask before replacing it.

Choose The Release Mode

Pick the mode that matches the user's request and current git state:

  1. prepare metadata Update package.json, CHANGELOG.md, and the release notes commit on dev.
  2. cut release branch Create release/<version> from the release-ready commit on dev and push it.
  3. update existing release branch Use this when the release branch already exists but metadata changed afterward. Commit on dev, move release/<version> to the new dev commit, and force-push only the disposable release branch.
  4. publish Use this only after the release PR is approved. Fast-forward main, create the version tag on the same commit, push the tag, and then delete the temporary release branch.

Use references/release-checklist.md for exact commands.

Update Release Metadata

When preparing a release on dev:

  • Update package.json to the target version.
  • Add a new CHANGELOG.md section at the top.
  • Summarize only user-visible or release-relevant changes since the previous tag.
  • Prefer deriving the notes from recent commits or the diff since the previous release tag.
  • Do not create SDD folders for pure release metadata, branch, tag, or release PR work.

For v1.0.1 and later, format changelog entries in this order:

md
## vX.Y.Z (YYYY-MM-DD)
- English bullet
- English bullet
- 中文条目
- 中文条目

Use the current local date in YYYY-MM-DD form. Preserve older changelog sections unless the user explicitly asks to rewrite them.

Run Release Checks

After editing release metadata, run these repo-required commands:

  • pnpm run format
  • pnpm run i18n
  • pnpm run lint

Prefer running pnpm run typecheck before cutting the release branch. Run tests when the user asks, when the release touches behavior beyond metadata, or when risk is unclear. Report pre-existing failures separately from the release metadata work.

Follow Release Branch Policy

  • Keep dev as the integration branch.
  • Treat release/<version> as disposable and identical to a commit already on dev.
  • Never use the GitHub merge button for releases to main.
  • Never click "Update branch" on the release PR.
  • Use pnpm run release:ff -- release/<version> --tag v<version> to publish after approval.

Read ../../../docs/release-flow.md when you need the full repository policy or if the checklist and repo docs ever diverge.

Common Recovery Case

When the user says something like "the release branch already exists but the tag is not created yet" or "I fixed the changelog after cutting the release branch":

  1. Commit the metadata fix on dev.
  2. Push dev.
  3. Move release/<version> to HEAD.
  4. Force-push release/<version> with --force-with-lease.
  5. Continue with the existing or updated PR to main.
  6. After approval, publish and create the tag.

Response Rules

  • Act on the repo when the user wants the release advanced; do not stop at generic advice.
  • Tell the user exactly which step of the release flow they are currently in.
  • Use concrete versions and dates such as v1.0.1 and 2026-04-02.
  • Keep commands copy-pastable and repo-specific.
  • If checks fail, separate blocking failures from unrelated existing warnings.

Examples

Activate this skill for requests like:

  • "准备发布 1.0.2,更新版本号和 changelog"
  • "继续发 1.0.1,release 分支已经有了,还没打 tag"
  • "帮我按项目流程把 release/v1.0.3 发出去"
  • "检查一下现在离发布 v1.0.4 还差什么"

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 Deepchat Release AI skill do?

Prepare and publish DeepChat releases in this repository. Use when Codex needs to bump the app version, update CHANGELOG.md, keep release notes bilingual from v1.0.1 onward with English bullets first and Chinese bullets second, run release checks, create or update versioned release branches such as release/v1.0.1, continue a half-finished release, fast-forward main with the documented release flow, create or push version tags, or clean up release branches after publishing.

Why use Deepchat Release on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ThinkInAIXYZ/deepchat/tree/dev/.agents/skills/deepchat-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 Deepchat 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 Deepchat Release?

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

Is the Deepchat Release AI skill free?

Yes. It is published on GitHub by ThinkInAIXYZ 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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