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Release Tweets

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steipete
release-tweets

Release tweets: draft/copy/post from changelog, tags, npm/appcast, artifacts.

Overview

Publishersteipete
Repositoryagent-scripts
Skill namerelease-tweets
Stars
6.6K
Forks
547
Bundled files
1
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.

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

Installation

Install the Release Tweets 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/steipete/agent-scripts.git /tmp/agent-scripts
mkdir -p .claude/skills
cp -r /tmp/agent-scripts/skills/release-tweets .claude/skills/release-tweets
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Release Tweets 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 Tweets 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 Tweets 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.

Release Tweets

Use when the user asks for a release tweet, launch tweet, X announcement, release thread, changelog-to-tweet rewrite, or social copy for a shipped version. This skill is about release copy, not cutting the release.

Ground The Copy

  • Verify the release target before writing confident copy:
    • read the relevant CHANGELOG.md section or GitHub release notes
    • check the tag/release/npm/appcast/artifact state that applies to the project
    • distinguish Unreleased, beta/prerelease, stable, hotfix, and correction releases
  • Do not say a feature shipped only because it is in the top changelog block. Confirm the tag/release/package evidence when available.
  • Lead with user-visible wins: features, integrations, workflow improvements, install/update reliability, security fixes.
  • Avoid leading with CI, coverage, validation, refactors, internal migrations, or release mechanics unless that is the actual story.
  • If evidence is incomplete, say what is unverified and draft with softer wording.

Launch Tweet Shape

  • One standard tweet under 280 characters, with room for one URL.
  • Typical format:
    • product + version
    • blank line
    • 3-4 compact emoji-led feature bullets
    • blank line
    • one short punchline
    • release/changelog URL
  • Use emoji bullets by default for launch tweets. Pick clear, low-noise emoji that match the feature or product; skip only when the user asks for plain text or the release is incident-style.
  • Tone: high-signal, compact, confident, a little dry when earned. Not corporate.
  • One joke max. Let the feature bullets do the work.
  • Put the release/changelog URL at the end.
  • Count final raw characters before presenting it as ready to post.

Beta, Hotfix, Correction

  • Beta/prerelease:
    • make beta status explicit
    • avoid implying stable promotion
    • phrase as "beta N", VERSION-beta.N, or "preview" as appropriate
  • Hotfix/correction:
    • be direct and accountable
    • state what slipped, what is fixed, and the new version
    • skip jokes unless the user asks for a lighter tone

Threads

  • First agree on the generic launch tweet.
  • Then write follow-ups one at a time. When the user says next, provide only the next reply.
  • Each follow-up should focus on one feature or user workflow.
  • Include a docs/release URL for the specific feature when available.
  • Avoid repeating the version in every reply when the thread context already has it.
  • Good follow-up length: 160-220 raw characters. Hard cap: 280.

Posting And Clipboard

  • Draft by default. Do not post to X/Twitter unless the user explicitly asks.
  • If asked to copy, use pbcopy on macOS and report that it is copied.
  • If asked to post from Peter's setup, prefer the local bird/xurl workflow if available, then verify the posted URL.
  • Never invent media. If the user wants media, use an existing release screenshot/asset or ask for/generate one separately.

Quality Pass

Before final:

  • Character count under 280 for each tweet.
  • Exact version string and channel.
  • Release URL included when requested or expected.
  • No unverified claims.
  • No more than 3-4 emoji-led bullets in the launch tweet.
  • Peter-style concise language; trim filler before trimming facts.

Examples

text
OpenClaw 2026.4.20 beta 1

🐳 Docker install/update smoke
🖥️ Parallels upgrade checks
🔧 Package verification tightened

Beta first. Stable after the gauntlet.
<release link>
text
RepoBar 0.5.0 is live

📋 GitHub refs from your clipboard
🔎 Issue, PR, and commit previews
🟢 Open/closed/merged at a glance
🔒 No Accessibility permission needed

Tiny bar, much less mystery.
<release link>
text
Packaging issue in 2026.4.20-beta.1.

2026.4.20-beta.2 fixes install/update verification. No tag rewrites; beta moves forward.

Upgrade with the beta channel.
<release link>

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 Release Tweets AI skill do?

Release tweets: draft/copy/post from changelog, tags, npm/appcast, artifacts.

Why use Release Tweets on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/steipete/agent-scripts/tree/main/skills/release-tweets. 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 Release Tweets?

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 Tweets?

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

Is the Release Tweets AI skill free?

Yes. It is published on GitHub by steipete 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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