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Github Release

CommunityPopular
jezweb
github-release

Prepare and publish GitHub releases. Sanitizes code for public release (secrets scan, personal artifacts, LICENSE/README validation), creates version tags, and publishes via gh CLI. Trigger with 'release', 'publish', 'open source', 'prepare for release', 'create release', or 'github release'.

Overview

Publisherjezweb
Repositoryclaude-skills
Skill namegithub-release
Stars
1K
Forks
102
Bundled files
2
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.

  • 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 jezweb on GitHub. Read the source before you install it.

Installation

Install the Github 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.
  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/jezweb/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/plugins/dev-tools/skills/github-release .claude/skills/github-release
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Github 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 Github 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 Github 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.

GitHub Release

Sanitize and release projects to GitHub. Two-phase workflow: safety checks first, then tag and publish.

Prerequisites

  • gh CLI installed and authenticated (gh auth status)
  • gitleaks installed for secrets scanning (brew install gitleaks or download from GitHub)
  • Git repository with a remote configured

Workflow

Phase 1: Sanitize

Run these checks before any public release. Stop on blockers.

1. Scan for Secrets (BLOCKER)
bash
gitleaks detect --no-git --source=. --verbose

If secrets found: STOP. Remove secrets, move to environment variables. Check git history with git log -S "secret_value" — if in history, use BFG Repo-Cleaner.

If gitleaks not installed, do manual checks:

bash
# Check for .env files
find . -name ".env*" -not -path "*/node_modules/*"

# Check config files for hardcoded secrets
grep -ri "api_key\|token\|secret\|password" wrangler.toml wrangler.jsonc .dev.vars 2>/dev/null
2. Remove Personal Artifacts

Check for and remove session/planning files that shouldn't be published:

  • SESSION.md — session state
  • planning/, screenshots/ — working directories
  • test-*.ts, test-*.js — local test files

Either delete them or add to .gitignore.

3. Validate LICENSE
bash
ls LICENSE LICENSE.md LICENSE.txt 2>/dev/null

If missing: create one. Check the repo visibility (gh repo view --json visibility -q '.visibility'). Use MIT for public repos. For private repos, consider a proprietary license instead.

4. Validate README

Check README exists and has basic sections:

bash
grep -i "## Install\|## Usage\|## License" README.md

If missing sections, add them before release.

5. Check .gitignore

Verify essential patterns are present:

bash
grep -E "node_modules|\.env|dist/|\.dev\.vars" .gitignore
6. Build Test (non-blocking)
bash
npm run build 2>&1
7. Dependency Audit (non-blocking)
bash
npm audit --audit-level=high
8. Create Sanitization Commit

If any changes were made during sanitization:

bash
git add -A
git commit -m "chore: prepare for release"

Phase 2: Release

1. Determine Version

Check package.json for current version, or ask the user. Ensure version starts with v prefix.

2. Check Tag Doesn't Exist
bash
git tag -l "v[version]"

If it exists, ask user whether to delete and recreate or use a different version.

3. Show What's Being Released
bash
LAST_TAG=$(git describe --tags --abbrev=0 2>/dev/null || echo "")
if [ -z "$LAST_TAG" ]; then
  git log --oneline --no-merges HEAD | head -20
else
  git log --oneline --no-merges ${LAST_TAG}..HEAD
fi
4. Create Tag and Push
bash
git tag -a v[version] -m "Release v[version]"
git push origin $(git branch --show-current)
git push origin --tags
5. Create GitHub Release
bash
gh release create v[version] \
  --title "Release v[version]" \
  --notes "[auto-generated from commits]"

For pre-releases add --prerelease. For drafts add --draft.

6. Report

Show the user:

  • Release URL
  • Next steps (npm publish if applicable, announcements)

Reference Files

WhenRead
Detailed safety checksreferences/safety-checklist.md
Release mechanicsreferences/release-workflow.md

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 Github Release AI skill do?

Prepare and publish GitHub releases. Sanitizes code for public release (secrets scan, personal artifacts, LICENSE/README validation), creates version tags, and publishes via gh CLI. Trigger with 'release', 'publish', 'open source', 'prepare for release', 'create release', or 'github release'.

Why use Github Release on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jezweb/claude-skills/tree/main/plugins/dev-tools/skills/github-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 Github 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 Github Release?

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

Is the Github Release AI skill free?

Yes. It is published on GitHub by jezweb 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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