Draft release announcement tweets from changelogs and artifact states.
npx skills add https://github.com/Khang5687/agent-scripts --skill release-tweets
Please help me install this Agent Skill. Skill: release-tweets Source: https://github.com/Khang5687/agent-scripts/tree/main/skills/release-tweets Command: npx skills add https://github.com/Khang5687/agent-scripts --skill release-tweets
This Skill addresses the challenge of creating clear, concise release announcements from release evidence, such as changelogs, tags, npm/appcast, and artifacts.
Use the release-tweets skill to draft a release announcement for the latest version of your product.
High-intent search queries and answers about installing and using this skill.
Drafting release announcements from changelogs involves analyzing release evidence and formatting it into concise tweets. The skill extracts key changes from release notes and artifacts to create standard tweet formats that adhere to character limits.
Yes, you can generate Twitter threads for a software release by building a series of tweets focusing on individual features or workflows. The skill structures these follow-up tweets to highlight specific changes from the changelog.
Formatting tweets for beta and hotfix releases requires specialized handling of release evidence. The skill applies specific tweet formats tailored for beta, hotfix, and correction releases to ensure accurate communication of the update type.
Ensuring release tweets meet character limits requires a quality pass that checks both character count and content accuracy. The skill validates each generated tweet against these standards before finalizing the announcement copy.
Creating a release announcement requires accurate analysis of release evidence such as tags, npm or appcast feeds, and artifact states. The skill uses this evidence to confidently draft the announcement copy.
Release tweets misrepresent changelogs when the release evidence analysis is inaccurate. The skill addresses this by applying a quality pass that verifies content accuracy against the original changelogs and artifact states.
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